L. Garner
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 detection and testing 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Yingzhu Li (4 shared papers)Cynthia Liu (4 shared papers)Qiongqiong Angela Zhou (4 shared papers)Janet M. Sasso (1 shared paper)Yi Deng (2 shared papers)Julian Ivanov (1 shared paper)
- Journals
- ACS Central Science (2 papers)ACS Omega (1 paper)ACS Pharmacology & Translational Science (1 paper)
- Partner nations
- United States
In The Last Decade
L. Garner
4 papers receiving 1.8k citations
L. Garner's Hit Papers
Peers
Comparison fields: 5 of 134
- Infectious Diseases 1.2k
- Computational Theory and Mathematics 284
- Modeling and Simulation 74
- Biomedical Engineering 431
- Molecular Biology 535
Countries citing papers authored by L. Garner
This map shows the geographic impact of L. Garner'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 L. Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Garner more than expected).
Fields of papers citing papers by L. Garner
This network shows the impact of papers produced by L. Garner. 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 L. Garner. The network helps show where L. Garner may publish in the future.
Co-authors
The 6 scholars most cited alongside L. Garner, 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 | Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases Hit paper breakdown → | 2020 | 1022 |
| 2 | Assay Techniques and Test Development for COVID-19 Diagnosis Hit paper breakdown → | 2020 | 741 |
| 3 | 2020 | 40 | |
| 4 | 2020 | 22 |
About L. Garner
L. Garner is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Molecular Biology, Neurology and Biomedical Engineering, having authored 4 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Computational Drug Discovery Methods (2 papers), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 detection and testing (1 paper), Biosensors and Analytical Detection (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Computational Theory and Mathematics (284 citations), Modeling and Simulation (74 citations), Biomedical Engineering (431 citations) and Molecular Biology (535 citations). L. Garner has collaborated with scholars based in United States. Frequent co-authors include Yingzhu Li, Cynthia Liu, Qiongqiong Angela Zhou, Janet M. Sasso, Yi Deng and Julian Ivanov. Their work appears in journals such as ACS Central Science, ACS Omega and ACS Pharmacology & Translational Science.
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.