Chen Jin

65 papers receiving 1.2k citations

Hit Papers

Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing 2021 · 433 citations
4332021202620222024100200300400

Peers

Chen Jin
Comparison fields: 5 of 130
  • Aging 36
  • Business and International Management 25
  • Biological Psychiatry 25
  • Molecular Biology 641
  • Neurology 63
Replace Zhenhua Li with:
Zhenhua Li China
Simon N. Dankel Norway
Ling Long China
Yun Zhu China
Giuseppe Perruolo Italy
Afshan N. Malik United Kingdom
Chenying Fu China
Bohan Wang China
Alexander Navarrete Santos Germany
Jie Dong China
Chen Jin relative to Zhenhua Li China Zhenhua Li's profile →
Citations per field
00.5×4.2×
Zhenhua Li · 1×
Citations per year

Countries citing papers authored by Chen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing
Hit paper breakdown →
2021433
2 202053
3 201952
4 201751
5 201745
6 201640
7 201539
8 202038
9 201534
10 202432
11 201830
12 201927
13 202127
14 201625
15 202424
16 202121
17 202120
18 201720
19 202217
20 201814

About Chen Jin

Chen Jin is a scholar working on Urology, Rehabilitation, Developmental Neuroscience, Equine and Insect Science, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (9 papers), Bee Products Chemical Analysis (6 papers), Stroke Rehabilitation and Recovery (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Acupuncture Treatment Research Studies (3 papers), Healthcare and Venom Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and melanin and skin pigmentation (3 papers). The work is most often cited by research in Aging (36 citations), Business and International Management (25 citations), Biological Psychiatry (25 citations), Molecular Biology (641 citations) and Neurology (63 citations). Chen Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Volker Hovestadt, Joseph M. Replogle, Martin Kampmann, James K. Nuñez, James Y.S. Kim, Quanming Shi, Carmen Adriaens, B Bernstein, Manuel D. Leonetti and Angela N. Pogson. Their work appears in journals such as Frontiers in Immunology, Journal of Neuroinflammation, Andrologia, The Prostate and Aging.

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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