Caitlin Shepard
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
- Virology 12
- HIV Research and Treatment 12
-
- RNA Research and Splicing 3
- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Baek Kim (20 shared papers)Li Wu (4 shared papers)Felipe Diaz‐Griffero (6 shared papers)Corine St. Gelais (3 shared papers)Gina M. Lenzi (2 shared papers)Raymond F. Schinazi (4 shared papers)Sun‐Hee Kim (2 shared papers)Akash Bhattacharya (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Virology (3 papers)Scientific Reports (2 papers)Cell Death and Disease (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Caitlin Shepard
21 papers receiving 513 citations
Peers
Comparison fields: 5 of 68
- Virology 196
- Immunology 215
- Epidemiology 182
- Infectious Diseases 92
- Molecular Biology 253
Countries citing papers authored by Caitlin Shepard
This map shows the geographic impact of Caitlin Shepard'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 Caitlin Shepard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Shepard more than expected).
Fields of papers citing papers by Caitlin Shepard
This network shows the impact of papers produced by Caitlin Shepard. 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 Caitlin Shepard. The network helps show where Caitlin Shepard may publish in the future.
Co-authors
The 25 scholars most cited alongside Caitlin Shepard, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2016 | 53 | |
| 3 | 2018 | 49 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 46 | |
| 6 | 2018 | 40 | |
| 7 | 2014 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2015 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 5 | |
| 20 | 2021 | 3 |
About Caitlin Shepard
Caitlin Shepard is a scholar working on Virology, Molecular Biology, Infectious Diseases, Epidemiology and Immunology, having authored 21 papers that have together received 514 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), HIV/AIDS drug development and treatment (7 papers), Cytomegalovirus and herpesvirus research (6 papers), RNA Research and Splicing (3 papers), interferon and immune responses (3 papers), DNA Repair Mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (196 citations), Immunology (215 citations), Epidemiology (182 citations), Infectious Diseases (92 citations) and Molecular Biology (253 citations). Caitlin Shepard has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Baek Kim, Li Wu, Felipe Diaz‐Griffero, Corine St. Gelais, Gina M. Lenzi, Raymond F. Schinazi, Sun‐Hee Kim, Akash Bhattacharya, Dmitri N. Ivanov and Bryan A. Johnson. Their work appears in journals such as Journal of Biological Chemistry, Virology, Scientific Reports, Cell Death and Disease and Nature Communications.
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.