Jin Ding

7.7k citations
97 papers · 4.8k indexed · h-index 40

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 1%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer-related molecular mechanisms research 15
    • MicroRNA in disease regulation 13
    • NF-κB Signaling Pathways 8
    • Cancer, Lipids, and Metabolism 7
    • Liver physiology and pathology 14
    • Hepatocellular Carcinoma Treatment and Prognosis 7

Jin Ding

92 papers receiving 4.8k citations

Peers

Jin Ding
Comparison fields: 5 of 118
  • Cancer Research 2.0k
  • Hepatology 821
  • Molecular Biology 3.0k
  • Oncology 1.0k
  • Immunology 645
Replace Patricia Sancho with:
Patricia Sancho Spain
Wei‐Fen Xie China
Junji Matsui Japan
George G. Chen Hong Kong
Elizabeth A. Conner United States
Stephanie Ma Hong Kong
Goshi Shiota Japan
Sara Ladu Italy
Hayato Hikita Japan
Valentina M. Factor United States
Jin Ding relative to Patricia Sancho Spain Patricia Sancho's profile →
Citations per field
00.5×1.5×2.3×
Patricia Sancho · 1×
Citations per year

Countries citing papers authored by Jin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011276
2 2016255
3 2008198
4 2010194
5 2016185
6 2017181
7 2016179
8 2012170
9 2017139
10 2019135
11 2016127
12 2015124
13 2017104
14 2020100
15 201899
16 201997
17 201892
18 201291
19 201988
20 201487

About Jin Ding

Jin Ding is a scholar working on Cancer Research, Hepatology, Molecular Biology, Cell Biology and Oncology, having authored 97 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (15 papers), Cancer-related molecular mechanisms research (15 papers), Liver physiology and pathology (14 papers), MicroRNA in disease regulation (13 papers), NF-κB Signaling Pathways (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cancer, Lipids, and Metabolism (7 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Cancer Research (2.0k citations), Hepatology (821 citations), Molecular Biology (3.0k citations), Oncology (1.0k citations) and Immunology (645 citations). Jin Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongyang Wang, Beifang Ning, Wei‐Fen Xie, Wen Sun, Daimin Xiang, Zhuo Cheng, Tao Han, Cheng Chen, Gen‐Sheng Feng and Kun Wu. Their work appears in journals such as Hepatology, Journal of Hepatology, Cancer Letters, Cancer Research and Journal of Biological Chemistry.

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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