Jun Su

4.1k total citations · 1 hit paper
69 papers, 3.1k citations indexed

About

Jun Su is a scholar working on Epidemiology, Hematology and Hepatology. According to data from OpenAlex, Jun Su has authored 69 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 15 papers in Hematology and 15 papers in Hepatology. Recurrent topics in Jun Su's work include Hepatitis B Virus Studies (15 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis C virus research (13 papers). Jun Su is often cited by papers focused on Hepatitis B Virus Studies (15 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis C virus research (13 papers). Jun Su collaborates with scholars based in United States, China and Taiwan. Jun Su's 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 Rohit Loomba and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Jun Su

62 papers receiving 3.0k citations

Hit Papers

Predicting Cirrhosis Risk Based on the Level of Circulati... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Su United States 19 2.5k 2.2k 162 152 136 69 3.1k
Mauro Viganò Italy 27 2.4k 0.9× 2.2k 1.0× 160 1.0× 285 1.9× 34 0.3× 131 2.9k
Martina Gambato Italy 21 763 0.3× 872 0.4× 334 2.1× 70 0.5× 78 0.6× 94 1.2k
Rachel Westbrook United Kingdom 22 1.6k 0.7× 1.9k 0.8× 650 4.0× 85 0.6× 67 0.5× 53 2.5k
Rachel Pedersen United States 20 1.9k 0.8× 1.6k 0.7× 1.2k 7.3× 81 0.5× 257 1.9× 39 2.9k
Andrew P. Keaveny United States 28 1.2k 0.5× 1.9k 0.8× 1.3k 8.0× 85 0.6× 70 0.5× 118 2.6k
AK Burroughs United Kingdom 22 1.5k 0.6× 1.6k 0.7× 819 5.1× 101 0.7× 51 0.4× 80 2.3k
Surakit Pungpapong United States 27 1.2k 0.5× 1.0k 0.5× 978 6.0× 94 0.6× 75 0.6× 103 2.3k
Federico Villamil United States 19 1.5k 0.6× 1.9k 0.9× 923 5.7× 143 0.9× 42 0.3× 47 2.5k
Allison J. Kwong United States 19 1.0k 0.4× 1.4k 0.6× 1.1k 6.6× 30 0.2× 133 1.0× 88 2.1k
Curtis Holt United States 26 1.9k 0.8× 2.5k 1.1× 1.5k 9.2× 166 1.1× 48 0.4× 46 3.3k

Countries citing papers authored by Jun Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Su. A scholar is included among the top collaborators of Jun Su 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 Jun Su. Jun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Niu, Peiguang, Chunhua Wang, Xiumei Liu, et al.. (2025). Bleeding prediction scores in patients with venous thromboembolism using direct oral anticoagulants. Annals of Hematology. 104(6). 3477–3486.
2.
3.
Xu, Wenlin, Xiumei Liu, Yuxin Liu, et al.. (2024). Efficacy and safety of dabigatran and rivaroxaban in atrial fibrillation patients with impaired liver function: a multicenter retrospective cohort study. European Journal of Clinical Pharmacology. 80(8). 1141–1150.
4.
Chamberlain, Christina X., et al.. (2023). Content Validity and Cognitive Debriefing of a Patient-Reported Outcome Instrument Evaluating Symptoms and Disease Impact in Patients with Geographic Atrophy. Ophthalmology and Therapy. 12(2). 1181–1193. 2 indexed citations
5.
Röth, Alexander, Wilma Barcellini, Tor Henrik Anderson Tvedt, et al.. (2022). Sutimlimab improves quality of life in patients with cold agglutinin disease: results of patient-reported outcomes from the CARDINAL study. Annals of Hematology. 101(10). 2169–2177. 13 indexed citations
6.
Xu, Wenlin, Meina Lv, Tingting Wu, et al.. (2022). Off-label dose direct oral anticoagulants and clinical outcomes in Asian patients with atrial fibrillation: A new evidence of Asian dose. International Journal of Cardiology. 371. 184–190. 5 indexed citations
7.
Su, Jun, et al.. (2022). Takotsubo cardiomyopathy in post-traumatic brain injury: A systematic review of diagnosis and management. Clinical Neurology and Neurosurgery. 213. 107119–107119. 8 indexed citations
9.
Zhang, Ying, Jun Su, Jingquan Wang, et al.. (2018). Cognitive behavioral therapy for insomnia combined with eszopiclone for the treatment of sleep disorder patients transferred out of the intensive care unit. Medicine. 97(37). e12383–e12383. 6 indexed citations
10.
Su, Jun & Xuecheng Cao. (2017). Can operations achieve good outcomes in elderly patients with Sanders II–III calcaneal fractures?. Medicine. 96(29). e7553–e7553. 7 indexed citations
11.
Su, Jun & Xuecheng Cao. (2017). Risk factors of wound infection after open reduction and internal fixation of calcaneal fractures. Medicine. 96(44). e8411–e8411. 33 indexed citations
12.
Su, Jun, Christine L. Baker, & Kelly H. Zou. (2014). Long-acting bronchodilator use after hospitalization for COPD: an observational study of health insurance claims data. International Journal of COPD. 9. 431–431. 16 indexed citations
13.
Brook, Richard A., et al.. (2011). Absenteeism and productivity among employees being treated for hepatitis C.. PubMed. 17(10). 657–64. 30 indexed citations
14.
Beaumont, Jennifer L., David Victorson, Jun Su, et al.. (2011). Examining Web Equivalence and Risk Factor Sensitivity of the COPD Population Screener. Value in Health. 14(4). 506–512. 5 indexed citations
15.
Yang, Hwai‐I, Morris Sherman, Jun Su, et al.. (2010). Nomograms for Risk of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B Virus Infection. Journal of Clinical Oncology. 28(14). 2437–2444. 210 indexed citations
16.
Loomba, Rohit, Hwai‐I Yang, Jun Su, et al.. (2010). Obesity and Alcohol Synergize to Increase the Risk of Incident Hepatocellular Carcinoma in Men. Clinical Gastroenterology and Hepatology. 8(10). 891–898.e2. 72 indexed citations
17.
Su, Jun, Richard A. Brook, Nathan L. Kleinman, & Patricia K. Corey‐Lisle. (2010). The impact of hepatitis C virus infection on work absence, productivity, and healthcare benefit costs†. Hepatology. 52(2). 436–442. 97 indexed citations
18.
Lang, Kathleen, Marc Sussman, Jun Su, et al.. (2009). Incidence and Costs of Treatment-Related Complications Among Patients With Advanced Squamous Cell Carcinoma of the Head and Neck. Archives of Otolaryngology - Head and Neck Surgery. 135(6). 582–588. 37 indexed citations
19.
Iloeje, Uchenna H., Hwai‐I Yang, Chin–Lan Jen, et al.. (2007). Risk and Predictors of Mortality Associated With Chronic Hepatitis B Infection. Clinical Gastroenterology and Hepatology. 5(8). 921–931. 182 indexed citations
20.
Iloeje, Uchenna H., Hwai‐I Yang, Jun Su, et al.. (2006). Predicting Cirrhosis Risk Based on the Level of Circulating Hepatitis B Viral Load. Gastroenterology. 130(3). 678–686. 1181 indexed citations breakdown →

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.

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