Ling Jin

2.7k citations
91 papers · 2.1k · h-index 24

Impact in

Papers in

    • Circular RNAs in diseases 8
    • Metabolism, Diabetes, and Cancer 3
    • Gut microbiota and health 3
    • RNA Research and Splicing 3
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 6

Ling Jin

89 papers receiving 2.1k citations

Peers

Ling Jin
Comparison fields: 5 of 129
  • Aging 38
  • Psychiatry and Mental health 209
  • Cancer Research 201
  • Molecular Biology 881
  • Immunology 243
Replace Zbigniew Kmieć with:
Zbigniew Kmieć Poland
Yueming Tang China
Hiroyuki Kimura Japan
Myung Hee Chung South Korea
Li Kang China
Victoria McGilligan United Kingdom
Christopher A. Jolly United States
Wenbo Zhang United States
Bernard Lardeux France
Ling Jin relative to Zbigniew Kmieć Poland Zbigniew Kmieć's profile →
Citations per field
00.5×2.7×
Zbigniew Kmieć · 1×
Citations per year

Countries citing papers authored by Ling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018282
2 2014175
3 2020108
4 201784
5 201371
6 201670
7 200769
8 201769
9 200765
10 201961
11 200653
12 200948
13 200848
14 201839
15 201237
16 200636
17 202130
18 201929
19 201229
20 202229

About Ling Jin

Ling Jin is a scholar working on Molecular Biology, Cancer Research, Surgery, Physiology and Immunology, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (8 papers), Attention Deficit Hyperactivity Disorder (7 papers), MicroRNA in disease regulation (6 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Gut microbiota and health (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (38 citations), Psychiatry and Mental health (209 citations), Cancer Research (201 citations), Molecular Biology (881 citations) and Immunology (243 citations). Ling Jin has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jun Cai, Bin Geng, Shuangyue Li, Xiaobing Cui, Jing Li, Minghui Bao, Na Wu, Wenjie Wang, Lifeng Li and Lei Ye. Their work appears in journals such as PLoS ONE, Journal of Child and Adolescent Psychopharmacology, Scientific Reports, International Journal of Molecular Sciences and Molecular and Cellular Endocrinology.

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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