Charitha Gowda
Impact in
- Health top 1%
- Vaccine Coverage and Hesitancy
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- Liver Disease Diagnosis and Treatment 2
- Health 8
- Vaccine Coverage and Hesitancy 7
- Co-authors
- Amanda F. Dempsey (8 shared papers)Allison E. Aiello (1 shared paper)Craig Hadley (1 shared paper)Sarah Schaffer (3 shared papers)Kevin J. Dombkowski (3 shared papers)Vincent Lo Re (8 shared papers)Dena M. Carbonari (3 shared papers)Jay R. Kostman (4 shared papers)
- Journals
- Open Forum Infectious Diseases (3 papers)Human Vaccines & Immunotherapeutics (3 papers)PEDIATRICS (3 papers)Pediatric Transplantation (2 papers)AIDS (2 papers)
- Partner nations
- United StatesSwitzerlandVietnam
In The Last Decade
Charitha Gowda
38 papers receiving 937 citations
Peers
Comparison fields: 5 of 83
- Health 359
- Hepatology 190
- Epidemiology 299
- Infectious Diseases 127
- Modeling and Simulation 32
Countries citing papers authored by Charitha Gowda
This map shows the geographic impact of Charitha Gowda'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 Charitha Gowda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charitha Gowda more than expected).
Fields of papers citing papers by Charitha Gowda
This network shows the impact of papers produced by Charitha Gowda. 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 Charitha Gowda. The network helps show where Charitha Gowda may publish in the future.
Co-authors
The 25 scholars most cited alongside Charitha Gowda, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 193 | |
| 2 | 2012 | 136 | |
| 3 | 2012 | 105 | |
| 4 | 2016 | 99 | |
| 5 | 2018 | 58 | |
| 6 | 2013 | 58 | |
| 7 | 2020 | 31 | |
| 8 | 2012 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2012 | 28 | |
| 11 | 2020 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2013 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2020 | 9 |
About Charitha Gowda
Charitha Gowda is a scholar working on Epidemiology, Health, Hepatology, Infectious Diseases and Surgery, having authored 39 papers that have together received 969 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Vaccine Coverage and Hesitancy (7 papers), Transplantation: Methods and Outcomes (3 papers), Liver Disease Diagnosis and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Mechanical Circulatory Support Devices (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health (359 citations), Hepatology (190 citations), Epidemiology (299 citations), Infectious Diseases (127 citations) and Modeling and Simulation (32 citations). Charitha Gowda has collaborated with scholars based in United States, Switzerland and Vietnam. Frequent co-authors include Amanda F. Dempsey, Allison E. Aiello, Craig Hadley, Sarah Schaffer, Kevin J. Dombkowski, Vincent Lo Re, Dena M. Carbonari, Jay R. Kostman, Jonathan R. Honegger and Deipanjan Nandi. Their work appears in journals such as Open Forum Infectious Diseases, Human Vaccines & Immunotherapeutics, PEDIATRICS, Pediatric Transplantation and AIDS.
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.