Gail Ackermann

14.9k citations
45 papers · 5.5k · 3 hit papers · h-index 30

Impact in

Papers in

    • Gut microbiota and health 28
    • Genomics and Phylogenetic Studies 5
    • Bacterial biofilms and quorum sensing 2
    • Microbial Community Ecology and Physiology 7

Gail Ackermann

45 papers receiving 5.5k citations

Gail Ackermann's Hit Papers

Microbiota and Host Nutrition across Plant and Animal Kingdoms 2015 · 509 citations
5090+4+8Years since publication50010001.5k

Peers

Gail Ackermann
Comparison fields: 5 of 166
  • Biological Psychiatry 121
  • Ecology 1.1k
  • Molecular Biology 2.8k
  • Insect Science 425
  • Dermatology 274
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Citations per year

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-authors

The 25 scholars most cited alongside Gail Ackermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gail Ackermann Line = papers co-authored together Gail Ackermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal Internal Transcribed Spacer Marker Gene Primers for Microbial Community Surveys
Hit paper breakdown →
20151561
2
Microbiota and Host Nutrition across Plant and Animal Kingdoms
Hit paper breakdown →
2015509
3
Advancing Our Understanding of the Human Microbiome Using QIIME
Hit paper breakdown →
2013441
4 2013311
5 2016276
6 2013270
7 2015260
8 2017224
9 2014196
10 2019137
11 2019121
12 2020108
13 2018103
14 201896
15 201786
16 201673
17 201470
18 201668
19 202154
20 202048

About Gail Ackermann

Gail Ackermann is a scholar working on Molecular Biology, Ecology, Physiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 5.5k indexed citations. Recurring topics across this work include Gut microbiota and health (28 papers), Microbial Community Ecology and Physiology (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Genomics and Phylogenetic Studies (5 papers), Dermatology and Skin Diseases (4 papers), Diet and metabolism studies (4 papers), Cystic Fibrosis Research Advances (4 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Biological Psychiatry (121 citations), Ecology (1.1k citations), Molecular Biology (2.8k citations), Insect Science (425 citations) and Dermatology (274 citations). Gail Ackermann has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Rob Knight, Janet Jansson, Donna Berg-Lyons, J. Gregory Caporaso, Greg Humphrey, Embriette R. Hyde, Jack A. Gilbert, Jed A. Fuhrman, Alma E. Parada and Amy Apprill. Their work appears in journals such as mSystems, Cell Host & Microbe, Scientific Reports, eLife and Microbiome.

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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