Dansong Wang

2.0k citations
71 papers · 1.5k · h-index 21

Impact in

  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Pancreatic and Hepatic Oncology Research 30
    • Inflammatory Biomarkers in Disease Prognosis 6
    • Pancreatitis Pathology and Treatment 10

Dansong Wang

68 papers receiving 1.5k citations

Peers

Dansong Wang
Comparison fields: 5 of 101
  • Oncology 730
  • Cancer Research 375
  • Immunology 248
  • Molecular Biology 488
  • Epidemiology 194
Replace Tiantao Kuang with:
Tiantao Kuang China
Wenchuan Wu China
Sharad Ghamande United States
Valentina Gambardella Spain
Kristen K. Ciombor United States
Akihiko Osaki Japan
Jeff C. Liu Canada
Jeremy Kortmansky United States
Xavier Sanjuán Spain
Alberto Fusi Germany
Dansong Wang relative to Tiantao Kuang China Tiantao Kuang's profile →
Citations per field
00.5×1.5×1.8×
Tiantao Kuang · 1×
Citations per year

Countries citing papers authored by Dansong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dansong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019190
2 2013148
3 201179
4 201976
5 202168
6 201557
7 201051
8 202248
9 201844
10 201443
11 201739
12 201938
13 201435
14 201731
15 201728
16 201628
17 201926
18 202025
19 200225
20 200621

About Dansong Wang

Dansong Wang is a scholar working on Oncology, Surgery, Cancer Research, Epidemiology and Molecular Biology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (30 papers), Neuroendocrine Tumor Research Advances (10 papers), Pancreatitis Pathology and Treatment (10 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Renal cell carcinoma treatment (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Oncology (730 citations), Cancer Research (375 citations), Immunology (248 citations), Molecular Biology (488 citations) and Epidemiology (194 citations). Dansong Wang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Wenchuan Wu, Tiantao Kuang, Dayong Jin, Yefei Rong, Xuefeng Xu, Wenhui Lou, Wenhui Lou, Wentao Zhou, Ning Pu and Yuan Fang. Their work appears in journals such as Journal of Cancer, Endocrine Connections, Frontiers in Oncology, Cancer Control 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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