Kun He

1.9k citations
44 papers · 1.3k · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Single-cell and spatial transcriptomics 3
    • RNA modifications and cancer 3
    • Immune cells in cancer 4
    • Immunotherapy and Immune Responses 4

Kun He

43 papers receiving 1.2k citations

Peers

Kun He
Comparison fields: 5 of 114
  • Cancer Research 181
  • Oncology 278
  • Immunology 225
  • Dermatology 60
  • Molecular Biology 493
Replace Yabo Zhou with:
Yabo Zhou China
Hongbo Chen China
Tetyana Yevsa Germany
Robert Mandić Germany
Yoshihiko Tashiro Japan
Safa Tahmasebi Iran
Kun He relative to Yabo Zhou China Yabo Zhou's profile →
Citations per field
00.5×
Yabo Zhou · 1×
Citations per year

Countries citing papers authored by Kun He

Since Specialization
Citations

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

Fields of papers citing papers by Kun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2014113
3 2010100
4 201799
5 201655
6 201655
7 201754
8 201753
9
Liposomal doxorubicin in combination with bortezomib for relapsed or refractory multiple myeloma.
200748
10 201943
11 201942
12
Tumor associated macrophages deliver iron to tumor cells via Lcn2.
201839
13 201935
14 202033
15 201530
16 201629
17 201629
18 201827
19 202025
20 201922

About Kun He

Kun He is a scholar working on Molecular Biology, Immunology, Hematology, Cancer Research and Oncology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Immune cells in cancer (4 papers), Immunotherapy and Immune Responses (4 papers), Single-cell and spatial transcriptomics (3 papers), Optimal Power Flow Distribution (3 papers), Microgrid Control and Optimization (3 papers), RNA modifications and cancer (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Cancer Research (181 citations), Oncology (278 citations), Immunology (225 citations), Dermatology (60 citations) and Molecular Biology (493 citations). Kun He has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Lisa X. Xu, Ping Liu, Richard Pazdur, Patricia Keegan, Robert Justice, Xiaoping Jiang, Hong Zhao, Sarah Pope Miksinski, Xiaoyuan Xu and Zheng Yan. Their work appears in journals such as International Journal of Hyperthermia, Clinical Cancer Research, Biochemical and Biophysical Research Communications, Cell Death and Disease 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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