Jin Ding

2.5k citations
83 papers · 1.6k · h-index 22

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Systemic Lupus Erythematosus Research

Papers in

Jin Ding

77 papers receiving 1.6k citations

Peers

Jin Ding
Comparison fields: 5 of 123
  • Immunology 489
  • Rheumatology 281
  • Oncology 439
  • Genetics 163
  • Cancer Research 173
Replace Fanlei Hu with:
Fanlei Hu China
Stephen Wax United States
Koji Yoshida Japan
Dirk Pohlers Germany
Manjula Reddy United States
Tue Wenzel Kragstrup Denmark
A. Sloëtjes Netherlands
Birgit Niederreiter Austria
Minghua Wu United States
Daisuke Goto Japan
Jin Ding relative to Fanlei Hu China Fanlei Hu's profile →
Citations per field
00.5×1.5×2.5×
Fanlei Hu · 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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 2007117
3 2022102
4 202199
5 202191
6 200589
7 200674
8 201065
9 201463
10 200350
11 200647
12 201237
13 201232
14 202328
15 201827
16 202327
17 202125
18 202124
19 201823
20 201822

About Jin Ding

Jin Ding is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (10 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Spondyloarthritis Studies and Treatments (8 papers), Peptidase Inhibition and Analysis (7 papers), Systemic Lupus Erythematosus Research (7 papers), Bone and Joint Diseases (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Vasculitis and related conditions (5 papers). The work is most often cited by research in Immunology (489 citations), Rheumatology (281 citations), Oncology (439 citations), Genetics (163 citations) and Cancer Research (173 citations). Jin Ding has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Zhaohui Zheng, Ping Zhu, Zhenbiao Wu, Hua Zhu, Zhi Yang, Zhi‐Nan Chen, Xueyi Li, Ping Zhu, Yichuan Wang and Nan Li. Their work appears in journals such as Molecular Pharmaceutics, European Journal of Nuclear Medicine and Molecular Imaging, The Journal of Rheumatology, Frontiers in Immunology and Bioorganic & Medicinal Chemistry Letters.

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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