Gail Ackermann

14.9k total citations · 3 hit papers
45 papers, 5.5k citations indexed

About

Gail Ackermann is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, Gail Ackermann has authored 45 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Ecology and 8 papers in Physiology. Recurrent topics in Gail Ackermann's work include Gut microbiota and health (28 papers), Microbial Community Ecology and Physiology (7 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). Gail Ackermann is often cited by papers focused on Gut microbiota and health (28 papers), Microbial Community Ecology and Physiology (7 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). Gail Ackermann collaborates with scholars based in United States, Germany and China. Gail Ackermann's co-authors include Rob Knight, Janet Jansson, Donna Berg-Lyons, J. Gregory Caporaso, Greg Humphrey, Embriette R. Hyde, Jack A. Gilbert, Amy Apprill, Jed A. Fuhrman and William A. Walters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.

In The Last Decade

Gail Ackermann

45 papers receiving 5.5k citations

Hit Papers

Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal... 2013 2026 2017 2021 2015 2015 2013 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gail Ackermann United States 30 2.8k 1.1k 673 652 553 45 5.5k
Jai Ram Rideout United States 15 3.1k 1.1× 1.6k 1.5× 801 1.2× 578 0.9× 545 1.0× 19 6.1k
Matthew R. Dillon United States 6 2.5k 0.9× 1.4k 1.3× 738 1.1× 459 0.7× 455 0.8× 8 5.2k
Evan Bolyen United States 9 2.3k 0.8× 1.2k 1.2× 715 1.1× 432 0.7× 419 0.8× 12 4.8k
Benjamin D. Kaehler Australia 9 2.3k 0.8× 1.3k 1.2× 685 1.0× 426 0.7× 406 0.7× 14 4.9k
Amnon Amir United States 29 4.1k 1.5× 1.2k 1.1× 429 0.6× 751 1.2× 786 1.4× 67 6.6k
Falk Hildebrand United Kingdom 40 3.5k 1.2× 1.1k 1.0× 714 1.1× 664 1.0× 1.0k 1.9× 83 6.3k
Markus Bauer Austria 6 3.2k 1.1× 2.2k 2.1× 924 1.4× 477 0.7× 446 0.8× 9 6.9k
Will Van Treuren United States 18 3.0k 1.1× 800 0.8× 327 0.5× 737 1.1× 736 1.3× 20 5.0k
Louise Fraser United Kingdom 6 3.4k 1.2× 2.4k 2.2× 942 1.4× 482 0.7× 706 1.3× 10 7.5k
Justin Kuczynski United States 18 4.0k 1.4× 1.3k 1.3× 405 0.6× 855 1.3× 786 1.4× 18 6.5k

Countries citing papers authored by Gail Ackermann

Since Specialization
Citations

This map shows the geographic impact of Gail Ackermann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gail Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Ackermann more than expected).

Fields of papers citing papers by Gail Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Ackermann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gail Ackermann. The network helps show where Gail Ackermann may publish in the future.

Co-authorship network of co-authors of Gail Ackermann

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Ackermann. A scholar is included among the top collaborators of Gail Ackermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail Ackermann. Gail Ackermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dilmore, Amanda Hazel, Rayus Kuplicki, Mehrbod Estaki, et al.. (2025). Medication use is associated with distinct microbial features in anxiety and depression. Molecular Psychiatry. 30(6). 2545–2557. 5 indexed citations
2.
Brennan, Caitriona, Pedro Belda‐Ferre, Simone Zuffa, et al.. (2024). Clearing the plate: a strategic approach to mitigate well-to-well contamination in large-scale microbiome studies. mSystems. 9(10). e0098524–e0098524. 3 indexed citations
3.
Boktor, Joseph C., Gil Sharon, Leo Verhagen Metman, et al.. (2023). Integrated Multi‐Cohort Analysis of the Parkinson's Disease Gut Metagenome. Movement Disorders. 38(3). 399–409. 35 indexed citations
4.
Tejesvi, Mysore V., Niko Paalanne, Kjersti M. Aagaard, et al.. (2023). Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. mSystems. 8(6). e0036423–e0036423. 1 indexed citations
5.
Zouiouich, Sémi, Doratha A. Byrd, Xing Hua, et al.. (2023). Stability of the Fecal and Oral Microbiome over 2 Years at −80°C for Multiple Collection Methods. Cancer Epidemiology Biomarkers & Prevention. 32(3). 444–451. 9 indexed citations
6.
Mu, Andre, Daniel McDonald, Alan K. Jarmusch, et al.. (2021). Assessment of the microbiome during bacteriophage therapy in combination with systemic antibiotics to treat a case of staphylococcal device infection. Microbiome. 9(1). 92–92. 54 indexed citations
7.
Kościółek, Tomasz, Teresa A. Victor, Rayus Kuplicki, et al.. (2021). Individuals with substance use disorders have a distinct oral microbiome pattern. Brain Behavior & Immunity - Health. 15. 100271–100271. 10 indexed citations
8.
Ackermann, Gail, et al.. (2020). 高齢女性における尿路マイクロバイオームは宿主の遺伝的および環境的影響を示す【JST・京大機械翻訳】. Cell Host & Microbe. 28(2). 298–305. 3 indexed citations
9.
Ordiz, M. Isabel, Stefan Janssen, Greg Humphrey, et al.. (2020). The effect of legume supplementation on the gut microbiota in rural Malawian infants aged 6 to 12 months. American Journal of Clinical Nutrition. 111(4). 884–892. 17 indexed citations
10.
Adebayo, Adewale, Gail Ackermann, Ruth C. E. Bowyer, et al.. (2020). The Urinary Tract Microbiome in Older Women Exhibits Host Genetic and Environmental Influences. Cell Host & Microbe. 28(2). 298–305.e3. 37 indexed citations
11.
Bouslimani, Amina, Ricardo Silva, Tomasz Kościółek, et al.. (2019). The impact of skin care products on skin chemistry and microbiome dynamics. BMC Biology. 17(1). 121 indexed citations
12.
Richardson, Joshua B., Blair C. R. Dancy, Young S. Lee, et al.. (2018). Exposure to toxic metals triggers unique responses from the rat gut microbiota. Scientific Reports. 8(1). 6578–6578. 96 indexed citations
13.
Thompson, Luke, Jon G. Sanders, Daniel McDonald, et al.. (2017). A Communal Catalogue Reveals Earth'S Multiscale Microbial Diversity. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Potter, Caitlin, Chris Freeman, Peter N. Golyshin, et al.. (2017). Subtle shifts in microbial communities occur alongside the release of carbon induced by drought and rewetting in contrasting peatland ecosystems. Scientific Reports. 7(1). 11314–11314. 25 indexed citations
15.
Garg, Neha, Mingxun Wang, Embriette R. Hyde, et al.. (2017). Three-Dimensional Microbiome and Metabolome Cartography of a Diseased Human Lung. Cell Host & Microbe. 22(5). 705–716.e4. 86 indexed citations
16.
Rideout, Jai Ram, John Chase, Evan Bolyen, et al.. (2016). Keemei: cloud-based validation of tabular bioinformatics file formats in Google Sheets. GigaScience. 5(1). 27–27. 33 indexed citations
17.
Scanlan, Pauline D., Rob Knight, Se Jin Song, Gail Ackermann, & Paul D. Cotter. (2016). Prevalence and genetic diversity of Blastocystis in family units living in the United States. Infection Genetics and Evolution. 45. 95–97. 36 indexed citations
18.
Hacquard, Stéphane, Rubén Garrido‐Oter, Antonio González, et al.. (2015). Microbiota and Host Nutrition across Plant and Animal Kingdoms. Cell Host & Microbe. 17(5). 603–616. 509 indexed citations breakdown →
19.
Navas-Molina, José A., Juan Manuel Peralta‐Sánchez, Antonio González, et al.. (2013). Advancing Our Understanding of the Human Microbiome Using QIIME. Methods in enzymology on CD-ROM/Methods in enzymology. 531. 371–444. 441 indexed citations breakdown →
20.
Lozupone, Catherine, Jesse Stombaugh, Antonio González, et al.. (2013). Meta-analyses of studies of the human microbiota. Genome Research. 23(10). 1704–1714. 311 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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