Kelong Han

1.5k citations
41 papers · 955 · h-index 18

Impact in

Papers in

    • HIV/AIDS drug development and treatment 9
    • Antifungal resistance and susceptibility 3
    • HIV/AIDS Research and Interventions 3
    • Hepatitis B Virus Studies 7
    • Influenza Virus Research Studies 3

Kelong Han

41 papers receiving 933 citations

Peers

Kelong Han
Comparison fields: 5 of 83
  • Infectious Diseases 220
  • Transplantation 30
  • Virology 45
  • Genetics 84
  • Hepatology 60
Replace Charles E. Hill with:
Charles E. Hill United States
Keith Nieforth United States
Heather Vezina United States
Heung‐Bum Oh South Korea
Neal J. Meropol United States
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Sophie Limou France
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Kelong Han relative to Charles E. Hill United States Charles E. Hill's profile →
Citations per field
00.5×7.5×
Charles E. Hill · 1×
Citations per year

Countries citing papers authored by Kelong Han

Since Specialization
Citations

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

Fields of papers citing papers by Kelong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 2013104
3 201081
4 201657
5 201152
6 201145
7 200940
8 201440
9 201139
10 202235
11 201934
12 201331
13 201530
14 202125
15 202025
16 201525
17 201524
18 201317
19 201917
20 202117

About Kelong Han

Kelong Han is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Oncology and Virology, having authored 41 papers that have together received 955 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (9 papers), Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (7 papers), HIV Research and Treatment (6 papers), Antifungal resistance and susceptibility (3 papers), HIV/AIDS Research and Interventions (3 papers), Influenza Virus Research Studies (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Infectious Diseases (220 citations), Transplantation (30 citations), Virology (45 citations), Genetics (84 citations) and Hepatology (60 citations). Kelong Han has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Raman Venkataramanan, René Bruno, Blair Capitano, Laurent Claret, Amita Joshi, Robert R. Bies, David E. Allison, Min Ren, James Jin and Nenad Sarapa. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, British Journal of Clinical Pharmacology, The AAPS Journal, Journal of Clinical Oncology and Cancer Chemotherapy and Pharmacology.

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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