Yonghan He

4.3k citations
93 papers · 2.5k · h-index 31

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 2%
    • Telomeres, Telomerase, and Senescence
    • Adipose Tissue and Metabolism

Papers in

    • Protein Degradation and Inhibitors 13
    • Epigenetics and DNA Methylation 9
    • Ubiquitin and proteasome pathways 7
    • Telomeres, Telomerase, and Senescence 16
    • Adipose Tissue and Metabolism 7

Yonghan He

90 papers receiving 2.5k citations

Peers

Yonghan He
Comparison fields: 5 of 118
  • Aging 171
  • Physiology 664
  • Geriatrics and Gerontology 71
  • Molecular Biology 1.3k
  • Hematology 155
Replace Grażyna Mosieniak with:
Grażyna Mosieniak Poland
Sung Hee Um South Korea
Hengyi Xiao China
Haiyan Xu United States
Qingwei Chu United States
Alessandra K. Cardozo Belgium
Soo Han Bae South Korea
Cristina Contursi Italy
Shoaib Ahmad Malik Pakistan
Paul R. Langlais United States
Yonghan He relative to Grażyna Mosieniak Poland Grażyna Mosieniak's profile →
Citations per field
00.5×3.8×
Grażyna Mosieniak · 1×
Citations per year

Countries citing papers authored by Yonghan He

Since Specialization
Citations

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

Fields of papers citing papers by Yonghan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020188
2 2019129
3 2013128
4 2022106
5 2018102
6 202097
7 202091
8 202090
9 202080
10 201979
11 201978
12 201974
13 201873
14 201467
15 202054
16 201145
17 201844
18 202144
19 201144
20 202244

About Yonghan He

Yonghan He is a scholar working on Molecular Biology, Physiology, Aging, Oncology and Hematology, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (16 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers), Protein Degradation and Inhibitors (13 papers), Epigenetics and DNA Methylation (9 papers), Multiple Myeloma Research and Treatments (8 papers), Ubiquitin and proteasome pathways (7 papers), Adipose Tissue and Metabolism (7 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Aging (171 citations), Physiology (664 citations), Geriatrics and Gerontology (71 citations), Molecular Biology (1.3k citations) and Hematology (155 citations). Yonghan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daohong Zhou, Qing‐Peng Kong, Guangrong Zheng, Xuan Zhang, Changhao Sun, Wen Li, Sajid Khan, Yaxia Yuan, Ying Li and Dongwen Lv. Their work appears in journals such as PLoS ONE, Aging and Disease, Aging, Aging Cell and Blood.

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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