Ying He

2.5k citations
86 papers · 1.9k · h-index 24

Impact in

    • Sirtuins and Resveratrol in Medicine
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 7
    • Immune cells in cancer 4

Ying He

79 papers receiving 1.9k citations

Peers

Ying He
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 140
  • Immunology 373
  • Cancer Research 219
  • Research and Theory 11
  • Neurology 102
Replace Chao Deng with:
Chao Deng China
Daniela Marzioni Italy
Lenin Mahimainathan United States
Huihui Xu China
Se‐Ran Yang South Korea
Li‐Der Hsiao Taiwan
Shenghui Zhang China
Beamon Agarwal United States
Ming Hu China
Young‐Sool Hah South Korea
Ying He relative to Chao Deng China Chao Deng's profile →
Citations per field
00.5×1.5×2.1×
Chao Deng · 1×
Citations per year

Countries citing papers authored by Ying He

Since Specialization
Citations

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

Fields of papers citing papers by Ying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011231
2 2012143
3 2012143
4 201581
5 201778
6 202070
7 201563
8 202159
9 201753
10 202049
11 201748
12 201444
13 202143
14 202140
15 201940
16 201640
17 201636
18 201935
19 202030
20 201829

About Ying He

Ying He is a scholar working on Molecular Biology, Immunology, Surgery, Cancer Research and Oncology, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (7 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), MicroRNA in disease regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immune cells in cancer (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Geriatrics and Gerontology (140 citations), Immunology (373 citations), Cancer Research (219 citations), Research and Theory (11 citations) and Neurology (102 citations). Ying He has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Xun Xu, Yi Zong, Zhi Zheng, Di Lü, Yujing Bi, Guangwei Liu, Zhou Luan, Jun Li, Tao Li and Bingqing Zheng. Their work appears in journals such as Advanced Science, International Journal of Molecular Medicine, Pediatric Surgery International, PLoS ONE and Medicine.

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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