Bob C. Lin
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- HIV/AIDS drug development and treatment
- Viral gastroenteritis research and epidemiology
Papers in
- Virology 11
- HIV Research and Treatment 11
-
- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Mark K. Louder (12 shared papers)Nicole A. Doria‐Rose (11 shared papers)Barney S. Graham (3 shared papers)Peter D. Kwong (10 shared papers)Kaitlyn M. Morabito (2 shared papers)Baoshan Zhang (10 shared papers)John R. Mascola (8 shared papers)Krisha McKee (8 shared papers)
- Journals
- Cell Reports (4 papers)mAbs (3 papers)Nature Communications (2 papers)Clinical Infectious Diseases (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesSouth AfricaNetherlands
In The Last Decade
Bob C. Lin
15 papers receiving 237 citations
Peers
Comparison fields: 5 of 56
- Virology 88
- Infectious Diseases 74
- Radiology, Nuclear Medicine and Imaging 61
- Immunology 55
- Epidemiology 76
Countries citing papers authored by Bob C. Lin
This map shows the geographic impact of Bob C. Lin'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 Bob C. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob C. Lin more than expected).
Fields of papers citing papers by Bob C. Lin
This network shows the impact of papers produced by Bob C. Lin. 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 Bob C. Lin. The network helps show where Bob C. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bob C. Lin, 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 | 2020 | 47 | |
| 2 | 2018 | 39 | |
| 3 | 2020 | 32 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 |
About Bob C. Lin
Bob C. Lin is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Epidemiology, having authored 16 papers that have together received 239 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (7 papers), Complement system in diseases (2 papers), T-cell and B-cell Immunology (2 papers), Respiratory viral infections research (2 papers), Immune Cell Function and Interaction (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Virology (88 citations), Infectious Diseases (74 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Immunology (55 citations) and Epidemiology (76 citations). Bob C. Lin has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Mark K. Louder, Nicole A. Doria‐Rose, Barney S. Graham, Peter D. Kwong, Kaitlyn M. Morabito, Baoshan Zhang, John R. Mascola, Krisha McKee, Fadima Cheick Haidara and Myron M. Levine. Their work appears in journals such as Cell Reports, mAbs, Nature Communications, Clinical Infectious Diseases and Science Translational Medicine.
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.