Hang Chen

1.1k citations
24 papers · 694 · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Immunology top 10%
    • Complement system in diseases

Papers in

Hang Chen

23 papers receiving 684 citations

Peers

Hang Chen
Comparison fields: 5 of 72
  • Infectious Diseases 194
  • Immunology 195
  • Hematology 98
  • Internal Medicine 23
  • Rheumatology 88
Replace Vincent Poindron with:
Vincent Poindron France
Tadashi Koike Japan
Ryo Hisada Japan
Goretta Bonacorsi Italy
A. Bhandari United States
V. Salle France
Takahiro Komori Japan
Ayad Hamdan United States
Debendra Pattanaik United States
Ibtissem Ghédira Tunisia
Hang Chen relative to Vincent Poindron France Vincent Poindron's profile →
Citations per field
00.5×3.8×
Vincent Poindron · 1×
Citations per year

Countries citing papers authored by Hang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020253
2 2019158
3 202289
4 202324
5 202221
6 202320
7 202016
8 202213
9 202311
10 202011
11 202310
12 20239
13 20229
14 20228
15 20218
16 20237
17 20257
18 20256
19 20195
20 20234

About Hang Chen

Hang Chen is a scholar working on Molecular Biology, Immunology, Cancer Research, Hematology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 694 indexed citations. Recurring topics across this work include Complement system in diseases (4 papers), Circular RNAs in diseases (4 papers), Platelet Disorders and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), MicroRNA in disease regulation (2 papers), Oral microbiology and periodontitis research (2 papers), RNA modifications and cancer (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Infectious Diseases (194 citations), Immunology (195 citations), Hematology (98 citations), Internal Medicine (23 citations) and Rheumatology (88 citations). Hang Chen has collaborated with scholars based in China, Thailand and Saudi Arabia. Frequent co-authors include Robert A. Brodsky, Evan M. Braunstein, Shruti Chaturvedi, Xuan Yuan, Jia Yu, Yujuan He, Xiaonan Zhang, Zhenxiang Wang, Keith R. McCrae and Ravi Kumar Alluri. Their work appears in journals such as Journal of Periodontal Research, Blood, Aging, Frontiers in Immunology and Molecular Cancer.

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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