Jianmin Ding

648 citations
36 papers · 464 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 27
    • Liver Disease and Transplantation 7
    • Liver Disease Diagnosis and Treatment 18
    • Hepatitis B Virus Studies 3

Jianmin Ding

33 papers receiving 457 citations

Peers

Jianmin Ding
Comparison fields: 5 of 56
  • Hepatology 298
  • Epidemiology 199
  • Radiology, Nuclear Medicine and Imaging 69
  • Cancer Research 42
  • Immunology 55
Replace Zhongyang Shen with:
Zhongyang Shen China
Maarten C. Jansen Netherlands
Qungang Shan China
Svetlana Gourevitch Israel
Mylène Dorvillius France
Jacopo Lera Italy
Zebin Chen China
Alessandra R. Garcia United States
Laura Venerandi Italy
Jianmin Ding relative to Zhongyang Shen China Zhongyang Shen's profile →
Citations per field
00.5×2.7×
Zhongyang Shen · 1×
Citations per year

Countries citing papers authored by Jianmin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jianmin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201462
3 201839
4 202037
5 202130
6 202028
7 201322
8 201716
9 202115
10 201512
11 202112
12 202210
13 202210
14 20187
15 20227
16 20207
17 20207
18 20215
19 20225
20 20224

About Jianmin Ding

Jianmin Ding is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 36 papers that have together received 464 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (27 papers), Liver Disease Diagnosis and Treatment (18 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), MRI in cancer diagnosis (8 papers), Liver Disease and Transplantation (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatitis B Virus Studies (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Hepatology (298 citations), Epidemiology (199 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Cancer Research (42 citations) and Immunology (55 citations). Jianmin Ding has collaborated with scholars based in China and United States. Frequent co-authors include Xiang Jing, Yandong Wang, Yan Zhou, Fengmei Wang, Yijun Wang, Du Zhi, Ji‐Bin Liu, Hongyu Zhou, Xinyu Zhong and Yuting Cao. Their work appears in journals such as Ultrasound in Medicine & Biology, Frontiers in Oncology, European Journal of Radiology, Abdominal Radiology and Annals of Translational Medicine.

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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