Xin He

6.0k citations
132 papers · 2.4k indexed · h-index 27

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Xin He

125 papers receiving 2.4k citations

Peers

Xin He
Comparison fields: 5 of 120
  • Cancer Research 576
  • Immunology 500
  • Molecular Biology 1.3k
  • Reproductive Medicine 142
  • Oncology 456
Replace Timothy K. Starr with:
Timothy K. Starr United States
Alejandro Villagra United States
Karl‐Henning Kalland Norway
George E. Durán United States
Jean-Philippe Stéphan France
Sophia N. Karagiannis United Kingdom
Zaheed Husain United States
Mary K. Ernst United States
Monica C. Panelli United States
Leia M. Smith United States
Xin He relative to Timothy K. Starr United States Timothy K. Starr's profile →
Citations per field
00.5×1.5×1.9×
Timothy K. Starr · 1×
Citations per year

Countries citing papers authored by Xin He

Since Specialization
Citations

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

Fields of papers citing papers by Xin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20240
5 20241
6 20247
7 20247
8 202336
9 202323
10 202224
11 202214
12 20226
13 202148
14 20217
15 202119
16 20205
17 2020155
18 201922
19 201821
20 201433

About Xin He

Xin He is a scholar working on Computational Mathematics, Immunology, Cancer Research, Molecular Biology and Virology, having authored 132 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), CAR-T cell therapy research (13 papers), Epigenetics and DNA Methylation (13 papers), Immunotherapy and Immune Responses (12 papers), Cancer-related gene regulation (11 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (10 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Cancer Research (576 citations), Immunology (500 citations), Molecular Biology (1.3k citations), Reproductive Medicine (142 citations) and Oncology (456 citations). Xin He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Charles A. Janeway, Xianxin Hua, Hui Zhang, Ting Pan, Christophe Viret, Jinlian Hua, Haihua Luo, Yuan Wu, Bryson W. Katona and Zijie Feng. Their work appears in journals such as Blood, Journal of Cellular Biochemistry, The Journal of Immunology, Advanced Science and Frontiers in Immunology.

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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