Sumin Han

51 papers receiving 1.6k citations

Peers

Sumin Han
Comparison fields: 5 of 135
  • Cancer Research 385
  • General Dentistry 25
  • Pulmonary and Respiratory Medicine 463
  • Cell Biology 190
  • Molecular Biology 784
Replace Jason M. Sheltzer with:
Jason M. Sheltzer United States
Philip W. Iversen United States
Subha Madhavan United States
Deborah Toppmeyer United States
Yongzhi Wang China
Luigi Moretti United States
Brian Higgins United States
Ian R. Watson Canada
Dina Rosen United States
Travis Zack United States
Sumin Han relative to Jason M. Sheltzer United States Jason M. Sheltzer's profile →
Citations per field
00.5×6.3×
Jason M. Sheltzer · 1×
Citations per year

Countries citing papers authored by Sumin Han

Since Specialization
Citations

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

Fields of papers citing papers by Sumin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sumin 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 Sumin Han Line = papers co-authored together Sumin Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013272
2 2010236
3 2012210
4 2014202
5 2014113
6 202166
7 200763
8 200249
9 202043
10 201340
11 201235
12 202032
13 202023
14 201619
15 202018
16 201916
17 202014
18 201814
19 202014
20 202113

About Sumin Han

Sumin Han is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Sociology and Political Science, Oncology and Information Systems and Management, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (7 papers), Infection Control and Ventilation (6 papers), PARP inhibition in cancer therapy (5 papers), Prostate Cancer Treatment and Research (4 papers), Customer Service Quality and Loyalty (4 papers), Cancer-related molecular mechanisms research (3 papers) and Dental Research and COVID-19 (3 papers). The work is most often cited by research in Cancer Research (385 citations), General Dentistry (25 citations), Pulmonary and Respiratory Medicine (463 citations), Cell Biology (190 citations) and Molecular Biology (784 citations). Sumin Han has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Amy Chang, Felix Y. Feng, Roger Schneiter, Museer A. Lone, Karen E. Knudsen, Arul M. Chinnaiyan, John R. Prensner, Teng Ma, Jeffry L. Dean and Meilan Liu. Their work appears in journals such as Neoplasia, Cancer Research, Molecular Cancer Research, Scientific Reports and Journal of Business 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.

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