Gena Burch
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Tuberculosis Research and Epidemiology 2
- HIV/AIDS drug development and treatment 2
- Antimicrobial Resistance in Staphylococcus 1
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- Bacterial biofilms and quorum sensing 3
- Co-authors
- Yasmeen Abouelhassan (4 shared papers)Robert W. Huigens (4 shared papers)Aaron T. Garrison (3 shared papers)Verrill M. Norwood (2 shared papers)Hongfen Yang (2 shared papers)Charles A. Peloquin (4 shared papers)Shouguang Jin (2 shared papers)Hendrik Luesch (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)Scientific Reports (1 paper)Expert Opinion on Drug Metabolism & Toxicology (1 paper)Clinical Therapeutics (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Gena Burch
8 papers receiving 316 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 63
- Microbiology 68
- Infectious Diseases 91
- Toxicology 15
- Pharmacology 54
Countries citing papers authored by Gena Burch
This map shows the geographic impact of Gena Burch'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 Gena Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gena Burch more than expected).
Fields of papers citing papers by Gena Burch
This network shows the impact of papers produced by Gena Burch. 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 Gena Burch. The network helps show where Gena Burch may publish in the future.
Co-authors
The 25 scholars most cited alongside Gena Burch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2019 | 68 | |
| 3 | 2014 | 63 | |
| 4 | 2017 | 46 | |
| 5 | 2020 | 43 | |
| 6 | 2019 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 3 |
About Gena Burch
Gena Burch is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Pharmacology and Molecular Medicine, having authored 8 papers that have together received 319 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (3 papers), Antimicrobial Peptides and Activities (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Tuberculosis Research and Epidemiology (2 papers), HIV/AIDS drug development and treatment (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Molecular Medicine (63 citations), Microbiology (68 citations), Infectious Diseases (91 citations), Toxicology (15 citations) and Pharmacology (54 citations). Gena Burch has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Yasmeen Abouelhassan, Robert W. Huigens, Aaron T. Garrison, Verrill M. Norwood, Hongfen Yang, Charles A. Peloquin, Shouguang Jin, Hendrik Luesch, Dimitris Kallifidas and Anne‐Grete Märtson. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Scientific Reports, Expert Opinion on Drug Metabolism & Toxicology and Clinical Therapeutics.
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.