Ding Ding

2.1k citations
43 papers · 1.2k · h-index 20

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 24
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 3
    • Epigenetics and DNA Methylation 2

Ding Ding

41 papers receiving 1.2k citations

Peers

Ding Ding
Comparison fields: 5 of 66
  • Oncology 808
  • Cancer Research 154
  • Pulmonary and Respiratory Medicine 148
  • Immunology 99
  • Surgery 182
Replace Kim C. Honselmann with:
Kim C. Honselmann Germany
Markus W. B chler Germany
Gokce Askan United States
Francesca Simionato Italy
Yusuke Mizuuchi Japan
Carolin Reiser Germany
Moubin Lin China
Mark Stoopler United States
Ruochen Li China
Aviad Hoffman Israel
Ding Ding relative to Kim C. Honselmann Germany Kim C. Honselmann's profile →
Citations per field
00.5×3.1×
Kim C. Honselmann · 1×
Citations per year

Countries citing papers authored by Ding Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ding Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 2018121
3 201885
4 201884
5 201972
6 201959
7 202052
8 201850
9 201847
10 202031
11 201831
12 202029
13 202128
14 202027
15 201927
16 202025
17 202125
18 201925
19 201920
20 202319

About Ding Ding

Ding Ding is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Allergy and Surgery, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (24 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cell Adhesion Molecules Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (808 citations), Cancer Research (154 citations), Pulmonary and Respiratory Medicine (148 citations), Immunology (99 citations) and Surgery (182 citations). Ding Ding has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jin He, John L. Cameron, Richard A. Burkhart, Christopher L. Wolfgang, Matthew J. Weiss, Ammar A. Javed, Vincent P. Groot, Alex B. Blair, Michael Wright and Jun Yu. Their work appears in journals such as Annals of Surgery, Journal of Gastrointestinal Surgery, Annals of Surgical Oncology, Journal of Surgical Oncology and Journal for ImmunoTherapy of Cancer.

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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