Kan He

2.4k citations
102 papers · 1.8k · h-index 26

Impact in

Papers in

    • RNA modifications and cancer 7
    • CRISPR and Genetic Engineering 6
    • Peroxisome Proliferator-Activated Receptors 6
    • Cancer-related molecular mechanisms research 6

Kan He

97 papers receiving 1.8k citations

Peers

Kan He
Comparison fields: 5 of 131
  • Aging 62
  • Immunology and Allergy 124
  • Cancer Research 227
  • Molecular Biology 852
  • Insect Science 136
Replace Cheung‐Seog Park with:
Cheung‐Seog Park South Korea
Gustavo A. Chiabrando Argentina
Antonio Facchiano Italy
Yong Kee Kim South Korea
Matthew R. Alexander United States
Chinmoy Sankar Dey India
Tomokazu Ohishi Japan
Łukasz Huminiecki Poland
Junseong Park South Korea
Young‐Seuk Bae South Korea
Kan He relative to Cheung‐Seog Park South Korea Cheung‐Seog Park's profile →
Citations per field
00.5×
Cheung‐Seog Park · 1×
Citations per year

Countries citing papers authored by Kan He

Since Specialization
Citations

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

Fields of papers citing papers by Kan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201787
3 201579
4 202077
5 202177
6 202053
7 202150
8 202050
9 201348
10 201547
11 201644
12 201143
13 201243
14 201540
15 202140
16 201939
17 202039
18 202335
19 199835
20 201433

About Kan He

Kan He is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Physiology and Genetics, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Food Allergy and Anaphylaxis Research (8 papers), RNA modifications and cancer (7 papers), CRISPR and Genetic Engineering (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Cancer-related molecular mechanisms research (6 papers), Adipose Tissue and Metabolism (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Aging (62 citations), Immunology and Allergy (124 citations), Cancer Research (227 citations), Molecular Biology (852 citations) and Insect Science (136 citations). Kan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian Yu, Lin Zhang, Xuli Wu, Huimao Zhang, Tanja Ćirković Veličković, Yuchun Pan, Zhigang Liu, Dahai Liu, Fan Sun and Yawei Zhao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Oncotarget, Aging, Food Chemistry and Frontiers in Oncology.

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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