Ke Jin

10.9k citations
154 papers · 8.1k · 2 hit papers · h-index 41

Impact in

Papers in

Ke Jin

144 papers receiving 8.0k citations

Ke Jin's Hit Papers

18% Efficiency organic solar cells 2020 · 2.7k citations
2.7k0+2+5Years since publication50010001.5k2.0k2.5k

Peers

Ke Jin
Comparison fields: 5 of 154
  • Polymers and Plastics 3.0k
  • Electrical and Electronic Engineering 3.6k
  • Cancer Research 745
  • Biological Psychiatry 100
  • Molecular Biology 2.7k
Replace Jingying Zhang with:
Jingying Zhang China
Jian Chen China
Zhenzhen Li China
Shasha He China
Yuxia Zhang China
Jiali Liu China
Yun Xiang China
Tae‐Hyung Kim South Korea
Ke Zhang China
Flavio Rizzolio Italy
Ke Jin relative to Jingying Zhang China Jingying Zhang's profile →
Citations per field
00.5×5.4×
Jingying Zhang · 1×
Citations per year

Countries citing papers authored by Ke Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ke Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1
18% Efficiency organic solar cells
Hit paper breakdown →
20202712
2
Function of the c-Met receptor tyrosine kinase in carcinogenesis and associated therapeutic opportunities
Hit paper breakdown →
2018446
3 2018178
4 2018172
5 2019172
6 2018165
7 2021156
8 2018149
9 2021116
10 2020115
11 2022112
12 2016108
13 2019108
14 2017104
15 201895
16 201093
17 201891
18 202086
19 202283
20 201583

About Ke Jin

Ke Jin is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering and Cancer Research, having authored 154 papers that have together received 8.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (19 papers), Conducting polymers and applications (17 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Cancer-related molecular mechanisms research (11 papers), Perovskite Materials and Applications (10 papers), Microfluidic and Bio-sensing Technologies (7 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Polymers and Plastics (3.0k citations), Electrical and Electronic Engineering (3.6k citations), Cancer Research (745 citations), Biological Psychiatry (100 citations) and Molecular Biology (2.7k citations). Ke Jin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Liming Ding, Zuo Xiao, Qishi Liu, Shangfeng Yang, Wenting Li, Xiaotao Zhang, Yufan Jiang, Jianqiang Qin, Kuan Sun and Jinfeng Liu. Their work appears in journals such as Materials Chemistry Frontiers, Nature Communications, Journal of Semiconductors, Nucleic Acids Research and PLoS ONE.

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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