Peiguo Ding

1.0k citations
17 papers · 819 · h-index 12

Impact in

  • Oncology top 10%
    • Chemokine receptors and signaling
    • Cytokine Signaling Pathways and Interactions
    • Immunotherapy and Immune Responses

Papers in

    • Chemokine receptors and signaling 7
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2

Peiguo Ding

17 papers receiving 811 citations

Peers

Peiguo Ding
Comparison fields: 5 of 89
  • Oncology 248
  • Immunology 156
  • Cardiology and Cardiovascular Medicine 167
  • Molecular Biology 443
  • Cancer Research 95
Replace Jingchun Yang with:
Jingchun Yang United States
Kyoichi Akiyama Japan
Adam Pickard United Kingdom
Eliška Krejčí Czechia
R Wisdom United States
Nathalie F. Worth Australia
Tanja A.E. van Achterberg Netherlands
Kyoko Yamashiro Japan
Lorena Pérez Chile
Johanna P. Laakkonen Finland
Peiguo Ding relative to Jingchun Yang United States Jingchun Yang's profile →
Citations per field
00.5×1.5×2.3×
Jingchun Yang · 1×
Citations per year

Countries citing papers authored by Peiguo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Peiguo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005168
2 2004167
3 2003164
4 201097
5 200548
6 200540
7 200433
8 200221
9 201221
10 200518
11 200312
12 200311
13 20038
14 20016
15 20192
16 20152
17 20111

About Peiguo Ding

Peiguo Ding is a scholar working on Oncology, Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 17 papers that have together received 819 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), interferon and immune responses (4 papers), Immunotherapy and Immune Responses (4 papers), Muscle Physiology and Disorders (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cell Adhesion Molecules Research (2 papers), RNA Research and Splicing (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (248 citations), Immunology (156 citations), Cardiology and Cardiovascular Medicine (167 citations), Molecular Biology (443 citations) and Cancer Research (95 citations). Peiguo Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dalong Ma, Wenling Han, Kristine E. Kamm, Jian Huang, James T. Stull, Ying Wang, Yingmei Zhang, Lu Wang, Xianting Li and Rui Min. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Biophysical Journal, Gene, Molecular Biology Reports and Cell Biology International.

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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