James Lara
Impact in
- Hepatology top 2%
- Hepatitis Viruses Studies and Epidemiology
- Hepatitis C virus research
- Liver Disease and Transplantation
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Hepatology 16
- Hepatitis C virus research 15
- Hepatitis Viruses Studies and Epidemiology 4
- Epidemiology 11
- Hepatitis B Virus Studies 9
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Yury Khudyakov (17 shared papers)Michael A. Purdy (3 shared papers)Guoliang Xia (5 shared papers)Joseph Che‐Yen Wang (1 shared paper)Naokazu Takeda (1 shared paper)Tatsuo Miyamura (1 shared paper)Robert H. Purcell (1 shared paper)Xing Li (1 shared paper)
- Journals
- Journal of Virology (3 papers)Infection Genetics and Evolution (2 papers)BMC Bioinformatics (2 papers)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSpainUganda
In The Last Decade
James Lara
17 papers receiving 372 citations
Peers
Comparison fields: 5 of 47
- Hepatology 287
- Infectious Diseases 132
- Virology 28
- Epidemiology 151
- Animal Science and Zoology 26
Countries citing papers authored by James Lara
This map shows the geographic impact of James Lara'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 James Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lara more than expected).
Fields of papers citing papers by James Lara
This network shows the impact of papers produced by James Lara. 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 James Lara. The network helps show where James Lara may publish in the future.
Co-authors
The 25 scholars most cited alongside James Lara, 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 | 2010 | 79 | |
| 2 | 2013 | 76 | |
| 3 | 2012 | 72 | |
| 4 | 2012 | 39 | |
| 5 | 2014 | 22 | |
| 6 | 2011 | 20 | |
| 7 | 2014 | 11 | |
| 8 | 2012 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2008 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2013 | 1 | |
| 18 | Integrative viral molecular epidemiology: hepatitis C virus modeling | 2008 | 0 |
About James Lara
James Lara is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Molecular Biology and Virology, having authored 18 papers that have together received 379 indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Hepatitis B Virus Studies (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Viral gastroenteritis research and epidemiology (2 papers), HIV Research and Treatment (2 papers), vaccines and immunoinformatics approaches (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Hepatology (287 citations), Infectious Diseases (132 citations), Virology (28 citations), Epidemiology (151 citations) and Animal Science and Zoology (26 citations). James Lara has collaborated with scholars based in United States, Spain and Uganda. Frequent co-authors include Yury Khudyakov, Michael A. Purdy, Guoliang Xia, Joseph Che‐Yen Wang, Naokazu Takeda, Tatsuo Miyamura, Robert H. Purcell, Xing Li, R. Holland Cheng and Yasuhiro Yasutomi. Their work appears in journals such as Journal of Virology, Infection Genetics and Evolution, BMC Bioinformatics, Nature Communications and Bioinformatics.
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.