Steven-Huy Han

15 total papers · 1.3k total citations
12 papers, 972 citations indexed

About

Steven-Huy Han is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Steven-Huy Han has authored 12 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Hepatology and 3 papers in Surgery. Recurrent topics in Steven-Huy Han's work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Steven-Huy Han is often cited by papers focused on Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (8 papers) and Liver Disease Diagnosis and Treatment (7 papers). Steven-Huy Han collaborates with scholars based in United States, China and Taiwan. Steven-Huy Han's co-authors include Paul Martin, Eugene R. Schiff, Emmet B. Keeffe, Douglas T. Dieterich, Hillel Tobias, Ira M. Jacobson, Calvin Q. Pan, Jeffrey Gornbein, Dennis M. Jensen and Rome Jutabha and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Hepatology.

In The Last Decade

Steven-Huy Han

12 papers receiving 950 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steven-Huy Han 839 837 146 90 52 12 972
Alexandra E. Read 618 0.7× 569 0.7× 308 2.1× 70 0.8× 29 0.6× 13 857
H Rifflet 968 1.2× 902 1.1× 176 1.2× 92 1.0× 41 0.8× 31 1.2k
A.L.W.F. Eddleston 612 0.7× 681 0.8× 96 0.7× 83 0.9× 76 1.5× 23 946
Marc Poliquin 842 1.0× 658 0.8× 257 1.8× 37 0.4× 18 0.3× 12 1.0k
David Bernstein 888 1.1× 772 0.9× 80 0.5× 136 1.5× 36 0.7× 19 1000
Michael DeMicco 547 0.7× 635 0.8× 216 1.5× 150 1.7× 96 1.8× 20 1.1k
Henry Lik-Yuen Chan 770 0.9× 1.1k 1.3× 173 1.2× 69 0.8× 30 0.6× 21 1.2k
William M. Lee 810 1.0× 658 0.8× 153 1.0× 70 0.8× 58 1.1× 17 1.1k
Magdy Elkashab 685 0.8× 941 1.1× 109 0.7× 55 0.6× 20 0.4× 18 1.0k
Preston P. Purdum 792 0.9× 704 0.8× 527 3.6× 26 0.3× 61 1.2× 18 1.1k

Countries citing papers authored by Steven-Huy Han

Since Specialization
Citations

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

Fields of papers citing papers by Steven-Huy Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven-Huy Han

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

All Works

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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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