Nahid Attar
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatitis Viruses Studies and Epidemiology
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- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Sepsis Diagnosis and Treatment
Papers in
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- Hepatitis C virus research 7
- Liver Disease and Transplantation 3
- Hepatitis Viruses Studies and Epidemiology 2
- Liver Diseases and Immunity 1
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- Hepatitis B Virus Studies 5
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- William M. Lee (8 shared papers)Mamta K. Jain (6 shared papers)Corron Sanders (3 shared papers)Linda S. Hynan (2 shared papers)Emmanuel Seremba (3 shared papers)Doan Y Dao (3 shared papers)William J. Korzun (1 shared paper)Jody A. Rule (1 shared paper)
- Journals
- Journal of Medical Virology (4 papers)Hepatology (2 papers)Gastroenterology (1 paper)PLoS ONE (1 paper)Journal of Viral Hepatitis (1 paper)
- Partner nations
- United StatesUgandaIsrael
In The Last Decade
Nahid Attar
10 papers receiving 268 citations
Peers
Comparison fields: 5 of 38
- Hepatology 158
- Epidemiology 182
- Pharmacology 31
- Infectious Diseases 33
- Virology 7
Countries citing papers authored by Nahid Attar
This map shows the geographic impact of Nahid Attar'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 Nahid Attar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahid Attar more than expected).
Fields of papers citing papers by Nahid Attar
This network shows the impact of papers produced by Nahid Attar. 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 Nahid Attar. The network helps show where Nahid Attar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nahid Attar, 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 | 2006 | 53 | |
| 2 | 2015 | 52 | |
| 3 | 2016 | 44 | |
| 4 | 2011 | 28 | |
| 5 | 2010 | 25 | |
| 6 | 2010 | 24 | |
| 7 | 2012 | 21 | |
| 8 | 2011 | 19 | |
| 9 | 2009 | 6 | |
| 10 | 2012 | 4 | |
| 11 | 2011 | 3 |
About Nahid Attar
Nahid Attar is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Genetics and Rheumatology, having authored 11 papers that have together received 279 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), HIV/AIDS drug development and treatment (1 paper), Liver Diseases and Immunity (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hepatology (158 citations), Epidemiology (182 citations), Pharmacology (31 citations), Infectious Diseases (33 citations) and Virology (7 citations). Nahid Attar has collaborated with scholars based in United States, Uganda and Israel. Frequent co-authors include William M. Lee, Mamta K. Jain, Corron Sanders, Linda S. Hynan, Emmanuel Seremba, Doan Y Dao, William J. Korzun, Jody A. Rule, Ponsiano Ocama and Jody Balko. Their work appears in journals such as Journal of Medical Virology, Hepatology, Gastroenterology, PLoS ONE and Journal of Viral Hepatitis.
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.