Chengcheng Jin

8.6k citations
38 papers · 6.8k indexed · 3 hit papers · h-index 20

Impact in

Papers in

Chengcheng Jin

36 papers receiving 6.7k citations

Hit Papers

Commensal Microbiota Promote Lung Cancer Development via γδ T Cells 2019 · 711 citations
711201220262016202150010001.5k

Peers

Chengcheng Jin
Comparison fields: 5 of 132
  • Immunology 1.8k
  • Biological Psychiatry 145
  • Molecular Biology 3.7k
  • Oncology 1.5k
  • Cancer Research 706
Replace Mónica Gumá with:
Mónica Gumá United States
Hein W. Verspaget Netherlands
Hiroshi Nakase Japan
Gerhard J. Zlabinger Austria
Tetsuji Naka Japan
Juan Zhang China
Max Schnurr Germany
Patricia Loughran United States
Aida Habtezion United States
Raja Atreya Germany
Chengcheng Jin relative to Mónica Gumá United States Mónica Gumá's profile →
Citations per field
00.5×2.9×
Mónica Gumá · 1×
Citations per year

Countries citing papers authored by Chengcheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20237
5 202212
6 20222
7 20212
8 20210
9 202113
10 20219
11 202022
12 202027
13 2020137
14
Commensal Microbiota Promote Lung Cancer Development via γδ T Cells
Hit paper breakdown →
2019711
15 2013261
16 2013154
17 2013140
18
Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms
Hit paper breakdown →
20131570
19 2010383
20 2010366

About Chengcheng Jin

Chengcheng Jin is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Immunology, Epidemiology and Biotechnology, having authored 38 papers that have together received 6.8k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (9 papers), Corneal surgery and disorders (7 papers), Glaucoma and retinal disorders (6 papers), Ophthalmology and Visual Impairment Studies (6 papers), Gut microbiota and health (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Immunology (1.8k citations), Biological Psychiatry (145 citations), Molecular Biology (3.7k citations), Oncology (1.5k citations) and Cancer Research (706 citations). Chengcheng Jin has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Richard A. Flavell, Eran Elinav, Christoph A. Thaiss, Bo Hu, Roni Nowarski, Stephanie C. Eisenbarth, Till Strowig, Jorge Henao‐Mejia, Liming Hao and Chen Zhao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Journal of Refractive Surgery, Cell Metabolism and Nature reviews. Cancer.

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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