Ding Ding

2.1k citations
43 papers · 1.6k · h-index 22

Impact in

  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 35
    • Cancer Immunotherapy and Biomarkers 3
    • Neuroendocrine Tumor Research Advances 4

Ding Ding

41 papers receiving 1.6k citations

Peers

Ding Ding
Comparison fields: 5 of 59
  • Oncology 1.2k
  • Cancer Research 154
  • Immunology 92
  • Surgery 140
  • Psychiatry and Mental health 53
Replace Priya Jayachandran with:
Priya Jayachandran United States
Michael Texler Australia
Aude-Hélène Capietto United States
Miodrag Gužvić Germany
Qiuyao Wu China
Aaron M. Muscarella United States
Kristina E. Aaltonen Sweden
Suneel Deepak Kamath United States
Diyuan Qin China
Jeremy Skvarce United States
Ding Ding relative to Priya Jayachandran United States Priya Jayachandran's profile →
Citations per field
00.5×2×3×3.5×
Priya Jayachandran · 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 2019160
2 2019150
3 2018133
4 201894
5 201894
6 201982
7 201972
8 202068
9 202062
10 201856
11 202252
12 201849
13 201838
14 202036
15 202036
16 202034
17 202133
18 202128
19 201927
20 201926

About Ding Ding

Ding Ding is a scholar working on Oncology, Epidemiology, Immunology, Cancer Research and Rheumatology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (35 papers), Neuroendocrine Tumor Research Advances (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Epigenetics and DNA Methylation (1 paper), Surgical site infection prevention (1 paper), Cancer Genomics and Diagnostics (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (154 citations), Immunology (92 citations), Surgery (140 citations) and Psychiatry and Mental health (53 citations). Ding Ding has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include John L. Cameron, Jin Peng He, Christopher Lee Wolfgang, Richard Andrew Burkhart, Matthew John Weiss, Ammar A. Javed, Alex B. Blair, Vincent P. Groot, Martin A. Makary and Michael J. Wright. Their work appears in journals such as Annals of Surgery, Journal of Gastrointestinal Surgery, Annals of Surgical Oncology, HPB and Journal of Surgical Oncology.

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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