Jun Ding

1.4k citations
30 papers · 1.1k · h-index 17

Impact in

  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis
    • Dermatology and Skin Diseases

Papers in

    • Psoriasis: Treatment and Pathogenesis 3
    • interferon and immune responses 2

Jun Ding

27 papers receiving 1.1k citations

Peers

Jun Ding
Comparison fields: 5 of 96
  • Immunology 312
  • Dermatology 125
  • Endocrinology, Diabetes and Metabolism 211
  • Cancer Research 146
  • Physiology 42
Replace L. Lepescheux with:
L. Lepescheux France
Ella Kaganovsky Israel
Leslie F. Jackson United States
Wenjuan Li China
Véronique Machelon France
Undraga Schagdarsurengin Germany
Marguerite Mangin United States
Russell Marians United States
Rosalind Hannen United Kingdom
Haruhiko Miyayama Japan
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Citations per field
00.5×2.7×
L. Lepescheux · 1×
Citations per year

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
2 2002147
3 2009145
4 1999121
5 201980
6 201353
7 201050
8 201843
9 201335
10 200734
11 202133
12 201331
13 200827
14 201324
15 202219
16 202317
17 201617
18 202013
19 202410
20 202310

About Jun Ding

Jun Ding is a scholar working on Oncology, Immunology, Cancer Research, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Dermatology and Skin Diseases (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Ultrasound and Hyperthermia Applications (3 papers), interferon and immune responses (2 papers), Ultrasound and Cavitation Phenomena (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Immunology (312 citations), Dermatology (125 citations), Endocrinology, Diabetes and Metabolism (211 citations), Cancer Research (146 citations) and Physiology (42 citations). Jun Ding has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Cunming Duan, John J. Voorhees, Rajan P. Nair, Jóhann E. Guðjónsson, Gonçalo R. Abecasis, Trilokraj Tejasvi, Hanshi Sun, Travis J. Maures, Shu Jin Chan and Bin Xu. Their work appears in journals such as Endocrinology, Journal of Investigative Dermatology, Drug Delivery, Human Molecular Genetics and Oncotarget.

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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