Most-cited papers on Microbiome Analysis Methods

Ranked by citation count via OpenAlex. Citations update on a rolling basis; list regenerates every 24h.

  1. Analysis of composition of microbiomes: a novel method for studying microbial composition

    2015 · Microbial Ecology in Health and Disease · Mandal, Siddhartha, Treuren, Will Van, White, Richard et al.

    2,114 cited
  2. Microbiome differential abundance methods produce different results across 38 datasets

    2022 · Nature Communications · Nearing, Jacob T., Douglas, Gavin M., Hayes, Molly G. et al.

    901 cited
  3. Systematic improvement of amplicon marker gene methods for increased accuracy in microbiome studies

    2016 · Nature Biotechnology · Gohl, Daryl M., Vangay, Pajau, Garbe, John et al.

    853 cited
  4. Optimizing methods and dodging pitfalls in microbiome research

    2017 · Microbiome · Kim, Dorothy, Hofstaedter, Casey E., Zhao, Chunyu et al.

    562 cited
  5. Evaluation of Methods for the Extraction and Purification of DNA from the Human Microbiome

    2012 · PLoS ONE · Yuan, Sanqing, Cohen, Dora Boyd, Ravel, Jacques et al.

    534 cited
  6. Comparing Microbiome Sampling Methods in a Wild Mammal: Fecal and Intestinal Samples Record Different Signals of Host Ecology, Evolution

    2018 · Frontiers in Microbiology · Ingala, Melissa R., Simmons, Nancy B., Wultsch, Claudia et al.

    511 cited
  7. Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies

    2016 · mSystems · Song, Se Jin, Amir, Amnon, Metcalf, Jessica L. et al.

    503 cited
  8. Methods for normalizing microbiome data: An ecological perspective

    2018 · Methods in Ecology and Evolution · McKnight, Donald T., Huerlimann, Roger, Bower, Deborah S. et al.

    391 cited
  9. High throughput sequencing methods and analysis for microbiome research

    2013 · Journal of Microbiological Methods · Bella, Julia M. Di, Bao, Yige, Gloor, Gregory B. et al.

    321 cited
  10. 313 cited
  11. A broken promise: microbiome differential abundance methods do not control the false discovery rate

    2017 · Briefings in Bioinformatics · Hawinkel, Stijn, Mattiello, Federico, Bijnens, Luc et al.

    234 cited
  12. Performing Skin Microbiome Research: A Method to the Madness

    2017 · Journal of Investigative Dermatology · Kong, Heidi H., Andersson, Björn, Clavel, Thomas et al.

    226 cited
  13. High-throughput Methods Redefine the Rumen Microbiome and Its Relationship with Nutrition and Metabolism

    2014 · Bioinformatics and Biology Insights · McCann, Joshua C, Wickersham, Tryon A, Loor, Juan J.

    222 cited
  14. A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction

    2019 · Frontiers in Genetics · Zhou, Yi‐Hui, Gallins, Paul J.

    210 cited
  15. Methods in Lung Microbiome Research

    2019 · American Journal of Respiratory Cell and Molecular Biology · Carney, Sharon M., Clemente, José C., Cox, Michael J. et al.

    208 cited
  16. Comparison of methods for fecal microbiome biospecimen collection

    2014 · BMC Microbiology · Dominianni, Christine, Wu, Jing, Hayes, Richard B. et al.

    177 cited
  17. Multi-Method Characterization of the Human Circulating Microbiome

    2019 · Frontiers in Microbiology · Whittle, E., Leonard, Martin O., Harrison, Rebecca D et al.

    175 cited
  18. Comparison of Fecal Collection Methods for Microbiome and Metabolomics Studies

    2018 · Frontiers in Cellular and Infection Microbiology · Wang, Zheng, Zolnik, Christine P., Qiu, Yunping et al.

    169 cited
  19. Comparison of Collection Methods for Fecal Samples in Microbiome Studies

    2016 · American Journal of Epidemiology · Vogtmann, Emily, Chen, Jun, Amir, Amnon et al.

    161 cited
  20. Performance of Microbiome Sequence Inference Methods in Environments with Varying Biomass

    2019 · mSystems · Caruso, Vincent, Song, Xubo, Asquith, Mark et al.

    154 cited
  21. 151 cited
  22. Assessment of statistical methods from single cell, bulk RNA-seq, and metagenomics applied to microbiome data

    2020 · Genome biology · Calgaro, Matteo, Romualdi, Chiara, Waldron, Levi et al.

    139 cited
  23. The saliva microbiome profiles are minimally affected by collection method or DNA extraction protocols

    2017 · Scientific Reports · Lim, Yenkai, Totsika, Makrina, Morrison, Mark et al.

    138 cited
  24. Surveying the Microbiome of Ants: Comparing 454 Pyrosequencing with Traditional Methods To Uncover Bacterial Diversity

    2012 · Applied and Environmental Microbiology · Kautz, Stefanie, Rubin, Benjamin E. R., Russell, Jacob A. et al.

    136 cited
  25. Machine learning methods for microbiome studies

    2020 · The Journal of Microbiology · Namkung, Junghyun

    122 cited
  26. The Urine Microbiome of Healthy Men and Women Differs by Urine Collection Method

    2020 · International Neurourology Journal · Pohl, Hans G., Groah, Suzanne L., Pérez‐Losada, Marcos et al.

    121 cited

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