Sanjay Bhagani
- Epidemiology top 1%
- Infectious Diseases top 1%
- Hepatology top 0.5%
- Emergency Medicine top 1%
- Virology top 2%
- Co-authors
- Caroline SabinMark NelsonMargaret JohnsonGeoffrey DusheikoMark DantaOliver G. PybusMartin FisherDavid J. Brown
- Topics
- Hepatitis C virus research (58 papers)HIV/AIDS drug development and treatment (36 papers)Liver Disease Diagnosis and Treatment (29 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Sanjay Bhagani
115 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 109
- Epidemiology 1.7k
- Infectious Diseases 1.5k
- Hepatology 1.5k
- Emergency Medicine 394
- Virology 381
Countries citing papers authored by Sanjay Bhagani
This map shows the geographic impact of Sanjay Bhagani'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 Sanjay Bhagani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Bhagani more than expected).
Fields of papers citing papers by Sanjay Bhagani
This network shows the impact of papers produced by Sanjay Bhagani. 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 Sanjay Bhagani. The network helps show where Sanjay Bhagani may publish in the future.
Co-authorship network of co-authors of Sanjay Bhagani
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Bhagani. A scholar is included among the top collaborators of Sanjay Bhagani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanjay Bhagani. Sanjay Bhagani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | Testing for TB in a contemporary UK HIV clinic - is it really worth it? | 3 |
| 11 | 11 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 46 | |
| 15 | Is testing for latent tuberculosis infection in an UK HIV clinic cost effective? | 1 |
| 16 | 1 | |
| 17 | 35 | |
| 18 | 21 | |
| 19 | Use of pegylated interferon-alpha (peg-IFN) with or without ribavirin in the treatment of acute HCV in HIV-positive individuals. | 3 |
| 20 | Evidence for sexual transmission of HCV in recent epidemic in HIV-infected men in Southeast England. | 2 |
About Sanjay Bhagani
Sanjay Bhagani is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 119 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (58 papers), HIV/AIDS drug development and treatment (36 papers) and Liver Disease Diagnosis and Treatment (29 papers). The work is most often cited by research in Hepatology (1.5k citations), Infectious Diseases (1.5k citations) and Virology (381 citations). Sanjay Bhagani has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Caroline Sabin, Mark Nelson, Margaret Johnson, Geoffrey Dusheiko, Mark Danta, Oliver G. Pybus, Martin Fisher, David J. Brown, Jürgen K. Rockstroh and Stefan Mauss. Their work appears in journals such as The Lancet, Annals of Internal Medicine and PLoS ONE.
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.