Hang Chen

1.1k citations
24 papers · 664 · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 2

Hang Chen

22 papers receiving 653 citations

Peers

Hang Chen
Comparison fields: 5 of 73
  • Infectious Diseases 230
  • Immunology 216
  • Hematology 114
  • Cancer Research 110
  • Internal Medicine 25
Replace V. Salle with:
V. Salle France
Ryo Hisada Japan
Beáta Dérfalvi Canada
A. Bhandari United States
Cecile Maassen Netherlands
Takahiro Komori Japan
Ibtissem Ghédira Tunisia
Goretta Bonacorsi Italy
Claudia Baratè Italy
Tadashi Koike Japan
Hang Chen relative to V. Salle France V. Salle's profile →
Citations per field
00.5×8.5×
V. Salle · 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 2020249
2 2019154
3 202285
4 202321
5 202320
6 202219
7 202016
8 202213
9 202010
10 20229
11 20238
12 20238
13 20228
14 20257
15 20217
16 20236
17 20236
18 20255
19 20195
20 20234

About Hang Chen

Hang Chen is a scholar working on Molecular Biology, Cancer Research, Immunology, Periodontics and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 664 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Oral microbiology and periodontitis research (5 papers), MicroRNA in disease regulation (4 papers), Complement system in diseases (4 papers), Circular RNAs in diseases (4 papers), Platelet Disorders and Treatments (3 papers), RNA modifications and cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (230 citations), Immunology (216 citations), Hematology (114 citations), Cancer Research (110 citations) and Internal Medicine (25 citations). Hang Chen has collaborated with scholars based in China, Thailand and Saudi Arabia. Frequent co-authors include Robert A. Brodsky, Shruti Chaturvedi, Evan M. Braunstein, Xuan Yuan, Jia Yu, Yujuan He, Xiaonan Zhang, Zhenxiang Wang, Michael B. Streiff and Alice Alexander. 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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