Lian Jacobs
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Computational Drug Discovery Methods
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Glycosylation and Glycoproteins Research 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Yu Chen (6 shared papers)Eric M. Lewandowski (5 shared papers)Haozhou Tan (3 shared papers)Jun Wang (3 shared papers)Yanmei Hu (2 shared papers)Xiujun Zhang (3 shared papers)John S. Choy (2 shared papers)Ryan T. Morgan (2 shared papers)
- Journals
- Antibiotics (1 paper)Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)ChemBioChem (1 paper)ACS Central Science (1 paper)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Lian Jacobs
6 papers receiving 234 citations
Lian Jacobs's Hit Papers
Peers
Comparison fields: 5 of 44
- Infectious Diseases 144
- Computational Theory and Mathematics 74
- Molecular Medicine 10
- Applied Microbiology and Biotechnology 3
- Organic Chemistry 34
Countries citing papers authored by Lian Jacobs
This map shows the geographic impact of Lian Jacobs'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 Lian Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian Jacobs more than expected).
Fields of papers citing papers by Lian Jacobs
This network shows the impact of papers produced by Lian Jacobs. 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 Lian Jacobs. The network helps show where Lian Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Lian Jacobs, 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 | Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir Hit paper breakdown → | 2023 | 183 |
| 2 | 2024 | 20 | |
| 3 | 2023 | 16 | |
| 4 | 2020 | 10 | |
| 5 | 2025 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2025 | 0 |
About Lian Jacobs
Lian Jacobs is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Oncology and Organic Chemistry, having authored 7 papers that have together received 236 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Animal Virus Infections Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper), Enzyme Structure and Function (1 paper), Chemokine receptors and signaling (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Infectious Diseases (144 citations), Computational Theory and Mathematics (74 citations), Molecular Medicine (10 citations), Applied Microbiology and Biotechnology (3 citations) and Organic Chemistry (34 citations). Lian Jacobs has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Yu Chen, Eric M. Lewandowski, Haozhou Tan, Jun Wang, Yanmei Hu, Xiujun Zhang, John S. Choy, Ryan T. Morgan, Xufang Deng and Maura V. Gongora. Their work appears in journals such as Antibiotics, Nature Communications, Proceedings of the National Academy of Sciences, ChemBioChem and ACS Central 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.