Gemma Johnson
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Developmental Biology top 10%
Papers in
-
- Antifungal resistance and susceptibility 11
- Epidemiology 12
- Fungal Infections and Studies 10
- Co-authors
- Stephen A. Bustin (10 shared papers)Tania Nolan (3 shared papers)Samir Agrawal (7 shared papers)Jessica A. Lehoczky (4 shared papers)Christina Greenwood (3 shared papers)Christopher R. Thornton (2 shared papers)David Ruff (1 shared paper)Sara Kirvell (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Developmental Cell (1 paper)BMC Microbiology (1 paper)Cell Reports (1 paper)Mycoses (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Gemma Johnson
29 papers receiving 810 citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 329
- Developmental Biology 17
- Epidemiology 215
- Small Animals 45
- Endocrinology 30
Countries citing papers authored by Gemma Johnson
This map shows the geographic impact of Gemma Johnson'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 Gemma Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Johnson more than expected).
Fields of papers citing papers by Gemma Johnson
This network shows the impact of papers produced by Gemma Johnson. 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 Gemma Johnson. The network helps show where Gemma Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 81 | |
| 2 | 2012 | 79 | |
| 3 | 2018 | 77 | |
| 4 | 2014 | 67 | |
| 5 | 2020 | 58 | |
| 6 | 2012 | 47 | |
| 7 | 2019 | 41 | |
| 8 | 2012 | 40 | |
| 9 | 2015 | 38 | |
| 10 | 2012 | 34 | |
| 11 | 2006 | 27 | |
| 12 | 2005 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2007 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2016 | 16 | |
| 17 | 2008 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2010 | 14 |
About Gemma Johnson
Gemma Johnson is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Small Animals and Cell Biology, having authored 29 papers that have together received 828 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Fungal Infections and Studies (10 papers), Molecular Biology Techniques and Applications (4 papers), Infectious Diseases and Mycology (4 papers), Developmental Biology and Gene Regulation (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Biosensors and Analytical Detection (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Infectious Diseases (329 citations), Developmental Biology (17 citations), Epidemiology (215 citations), Small Animals (45 citations) and Endocrinology (30 citations). Gemma Johnson has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Stephen A. Bustin, Tania Nolan, Samir Agrawal, Jessica A. Lehoczky, Christina Greenwood, Christopher R. Thornton, David Ruff, Sara Kirvell, Afif M. Abdel Nour and Jim F. Huggett. Their work appears in journals such as Journal of Visualized Experiments, Developmental Cell, BMC Microbiology, Cell Reports and Mycoses.
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.