Jun Su
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Epidemiology top 1%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 25
- Hepatitis B Virus Studies 15
- Liver Disease Diagnosis and Treatment 15
- Hematology 15
- Blood groups and transfusion 12
- Co-authors
- Uchenna H. Iloeje (15 shared papers)Hwai‐I Yang (13 shared papers)San‐Lin You (9 shared papers)Chin–Lan Jen (8 shared papers)Chien‐Jen Chen (6 shared papers)Sheng‐Nan Lu (6 shared papers)Chien‐Jen Chen (3 shared papers)Yun‐Fan Liaw (3 shared papers)
- Journals
- Blood (8 papers)Gastroenterology (7 papers)Medicine (4 papers)Clinical Gastroenterology and Hepatology (3 papers)Current Medical Research and Opinion (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jun Su
62 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Hepatology 2.2k
- Epidemiology 2.5k
- Hematology 104
- Infectious Diseases 152
- Pathology and Forensic Medicine 136
Countries citing papers authored by Jun Su
This map shows the geographic impact of Jun Su'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 Jun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Su more than expected).
Fields of papers citing papers by Jun Su
This network shows the impact of papers produced by Jun Su. 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 Jun Su. The network helps show where Jun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Su, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Cirrhosis Risk Based on the Level of Circulating Hepatitis B Viral Load Hit paper breakdown → | 2006 | 1181 |
| 2 | 2010 | 235 | |
| 3 | 2010 | 210 | |
| 4 | 2011 | 191 | |
| 5 | 2007 | 182 | |
| 6 | 2013 | 160 | |
| 7 | 2011 | 156 | |
| 8 | 2010 | 97 | |
| 9 | 2010 | 72 | |
| 10 | 2009 | 67 | |
| 11 | 2009 | 37 | |
| 12 | 2012 | 37 | |
| 13 | 2017 | 33 | |
| 14 | Absenteeism and productivity among employees being treated for hepatitis C. | 2011 | 30 |
| 15 | 2011 | 26 | |
| 16 | 2022 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2014 | 20 | |
| 19 | 2017 | 20 | |
| 20 | 2010 | 17 |
About Jun Su
Jun Su is a scholar working on Epidemiology, Hematology, Hepatology, Physiology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (15 papers), Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (13 papers), Blood groups and transfusion (12 papers), Erythrocyte Function and Pathophysiology (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Asthma and respiratory diseases (4 papers) and Atrial Fibrillation Management and Outcomes (4 papers). The work is most often cited by research in Hepatology (2.2k citations), Epidemiology (2.5k citations), Hematology (104 citations), Infectious Diseases (152 citations) and Pathology and Forensic Medicine (136 citations). Jun Su has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Uchenna H. Iloeje, Hwai‐I Yang, San‐Lin You, Chin–Lan Jen, Chien‐Jen Chen, Sheng‐Nan Lu, Chien‐Jen Chen, Yun‐Fan Liaw, Li–Yu Wang and David A. Brenner. Their work appears in journals such as Blood, Gastroenterology, Medicine, Clinical Gastroenterology and Hepatology and Current Medical Research and Opinion.
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.