Narayan Dharel
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 10
- Hepatitis C virus research 9
- Liver Disease and Transplantation 2
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- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Masao Omata (12 shared papers)Naoya Kato (10 shared papers)Takao Kawabe (9 shared papers)Motoyuki Otsuka (8 shared papers)Jasmohan S. Bajaj (3 shared papers)Hiroyoshi Taniguchi (6 shared papers)Masaru Moriyama (7 shared papers)Run–Xuan Shao (8 shared papers)
- Journals
- Hepatology (4 papers)Liver International (3 papers)Gastroenterology (2 papers)Journal of Hepatology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Narayan Dharel
17 papers receiving 657 citations
Peers
Comparison fields: 5 of 60
- Hepatology 283
- Epidemiology 242
- Immunology 134
- Cancer Research 75
- Oncology 106
Countries citing papers authored by Narayan Dharel
This map shows the geographic impact of Narayan Dharel'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 Narayan Dharel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narayan Dharel more than expected).
Fields of papers citing papers by Narayan Dharel
This network shows the impact of papers produced by Narayan Dharel. 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 Narayan Dharel. The network helps show where Narayan Dharel may publish in the future.
Co-authors
The 25 scholars most cited alongside Narayan Dharel, 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 | 2005 | 108 | |
| 2 | 2006 | 93 | |
| 3 | 2006 | 80 | |
| 4 | 2014 | 72 | |
| 5 | 2008 | 60 | |
| 6 | 2006 | 58 | |
| 7 | 2005 | 53 | |
| 8 | 2015 | 31 | |
| 9 | 2005 | 24 | |
| 10 | 2009 | 23 | |
| 11 | 2014 | 18 | |
| 12 | 2006 | 13 | |
| 13 | 2020 | 12 | |
| 14 | Hepatitis B Virus-HIV Coinfection: Forgotten but Not Gone. | 2014 | 10 |
| 15 | 2008 | 8 | |
| 16 | 2009 | 6 | |
| 17 | Fusion mRNA from HBV integrants is associated with hepatocarcinogenesis in human hepatoma cell line | 2006 | 1 |
| 18 | 2017 | 0 | |
| 19 | 2017 | 0 |
About Narayan Dharel
Narayan Dharel is a scholar working on Hepatology, Epidemiology, Oncology, General Health Professions and Surgery, having authored 19 papers that have together received 670 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Liver Disease and Transplantation (2 papers), Vitamin C and Antioxidants Research (1 paper), Vitamin K Research Studies (1 paper), Artificial Intelligence in Healthcare (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Hepatology (283 citations), Epidemiology (242 citations), Immunology (134 citations), Cancer Research (75 citations) and Oncology (106 citations). Narayan Dharel has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masao Omata, Naoya Kato, Takao Kawabe, Motoyuki Otsuka, Jasmohan S. Bajaj, Hiroyoshi Taniguchi, Masaru Moriyama, Run–Xuan Shao, Ryosuke Muroyama and Yue Wang. Their work appears in journals such as Hepatology, Liver International, Gastroenterology, Journal of Hepatology and Clinical Cancer Research.
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.