Kang Chen

7.1k citations
135 papers · 4.6k indexed · 2 hit papers · h-index 35

Kang Chen

123 papers receiving 4.5k citations

Hit Papers

Cartilage tissue engineer...1392013202620172021100200300400

Peers

Kang Chen
Comparison fields: 5 of 141
  • Immunology 1.6k
  • Cancer Research 451
  • Molecular Biology 1.9k
  • Immunology and Allergy 153
  • Obstetrics and Gynecology 195
Replace Anna Katharina Simon with:
Anna Katharina Simon United Kingdom
Jason B. Weinberg United States
Bassel E. Sawaya United States
Michael Walter Germany
Jorge Lloberas Spain
J. Brice Weinberg United States
Sheila Francis United Kingdom
Jorge Geffner Argentina
Andreas Meinhardt Germany
Shuang Yu China
Kang Chen relative to Anna Katharina Simon United Kingdom Anna Katharina Simon's profile →
Citations per field
00.5×1.5×2.1×
Anna Katharina Simon · 1×
Citations per year

Countries citing papers authored by Kang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20240
5 202415
6 20240
7 20240
8 20241
9 20233
10 20234
11 20222
12 202110
13 201951
14 201918
15
Research progress of fish bone calcium utilization and related processing technologies.
20191
16 2018188
17
Mucus Enhances Gut Homeostasis and Oral Tolerance by Delivering Immunoregulatory Signalsbreakdown →
2013473
18 201181
19
C{micro}->C{delta} Class Switch Recombination and IgD Production Contribute to Mucosal Immunity
20081
20 200890

About Kang Chen

Kang Chen is a scholar working on Cancer Research, Immunology and Biological Psychiatry, having authored 135 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers), MicroRNA in disease regulation (10 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (8 papers), Ferroptosis and cancer prognosis (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Immunology (1.6k citations), Cancer Research (451 citations) and Molecular Biology (1.9k citations). Kang Chen has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Andrea Cerutti, Iván Soltész, Alejo Chorny, Tallie Z. Baram, Bing He, Nihar R. Nayak, Neha Nayak, Emilie K. Grasset, Giuliana Magri and Bihui Huang.

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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