Steve Han

861 citations
16 papers · 625 · h-index 12

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Amyotrophic Lateral Sclerosis Research 6
    • Liver Disease and Transplantation 3
    • Hepatitis C virus research 2

Steve Han

16 papers receiving 613 citations

Peers

Steve Han
Comparison fields: 5 of 62
  • Hepatology 354
  • Transplantation 29
  • Epidemiology 192
  • Neurology 82
  • Surgery 213
Replace Naoki Shimojima with:
Naoki Shimojima Japan
Hajime Imamura Japan
Wen-Je Ko Taiwan
R. Jalan United Kingdom
Justin Sang Ko South Korea
Masaaki Nemoto Japan
Stephanie Rutledge United States
Amr Hassan Egypt
Ruokun Li China
M. Gundlach Germany
Steve Han relative to Naoki Shimojima Japan Naoki Shimojima's profile →
Citations per field
00.5×3.6×
Naoki Shimojima · 1×
Citations per year

Countries citing papers authored by Steve Han

Since Specialization
Citations

This map shows the geographic impact of Steve Han'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 Steve Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Han more than expected).

Fields of papers citing papers by Steve Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Han. 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 Steve Han. The network helps show where Steve Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve Han Line = papers co-authored together Steve Han links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2001192
2 2002136
3 200472
4 200845
5 201140
6 202224
7 202323
8 202122
9 200114
10 202111
11 202311
12 202111
13 202310
14 20237
15 20234
16 20233

About Steve Han

Steve Han is a scholar working on Neurology, Hepatology, Molecular Biology, Genetics and Surgery, having authored 16 papers that have together received 625 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Liver Disease and Transplantation (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Hepatitis C virus research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Organ Transplantation Techniques and Outcomes (1 paper), Epilepsy research and treatment (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hepatology (354 citations), Transplantation (29 citations), Epidemiology (192 citations), Neurology (82 citations) and Surgery (213 citations). Steve Han has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Sammy Saab, Ronald W. Busuttil, Rafik M. Ghobrial, Douglas G. Farmer, Leonard I. Goldstein, Pauline Chen, Curtis Holt, Hasan Yersiz, Dean M. Anselmo and Eric A. Collisson. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Annals of Surgery, Neurology, British Journal of Clinical Pharmacology and Skeletal Muscle.

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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