Han He

1.4k citations
27 papers · 929 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Ubiquitin and proteasome pathways 2
    • Single-cell and spatial transcriptomics 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Han He

26 papers receiving 915 citations

Peers

Han He
Comparison fields: 5 of 81
  • Cancer Research 244
  • Obstetrics and Gynecology 83
  • Molecular Biology 538
  • Physiology 147
  • Biochemistry 42
Replace Virginia Novaro with:
Virginia Novaro Argentina
Indrika Ratnayaka United Kingdom
Ramaswamy Ramchandran United States
Mauricio P. Pinto Chile
Ulrike Harjes United States
Xiangchen Gu China
Tadaaki Taniguchi Japan
Gengze Wu China
Chelsea Wong United States
Rebecca A. Houliston United Kingdom
Han He relative to Virginia Novaro Argentina Virginia Novaro's profile →
Citations per field
00.5×1.5×2.1×
Virginia Novaro · 1×
Citations per year

Countries citing papers authored by Han He

Since Specialization
Citations

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

Fields of papers citing papers by Han He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999398
2 2020154
3 199988
4 201859
5 199841
6 201834
7 202228
8 199922
9 202022
10 202321
11 202011
12 201911
13 20186
14 20256
15 20215
16 20255
17 20204
18 20133
19 20242
20 20252

About Han He

Han He is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 27 papers that have together received 929 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Single-cell and spatial transcriptomics (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cancer Research (244 citations), Obstetrics and Gynecology (83 citations), Molecular Biology (538 citations), Physiology (147 citations) and Biochemistry (42 citations). Han He has collaborated with scholars based in China, United States and Bahrain. Frequent co-authors include Virginia J. Venema, Ruth B. Caldwell, Richard C. Venema, Mario B. Marrero, Xiaolin Gu, Haiying Liang, Hong Ju, Zhongxin Zheng, Qi Zhang and Yanqing Ding. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Immunopharmacology, Biochemical Journal, Annals of Medicine and Hepatogastroenterology.

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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