Dan Su

4.7k citations
139 papers · 2.7k indexed · h-index 32

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 15
    • Cancer Immunotherapy and Biomarkers 12
    • Cancer Cells and Metastasis 11
    • Lung Cancer Research Studies 9

Dan Su

129 papers receiving 2.7k citations

Peers

Dan Su
Comparison fields: 5 of 129
  • Cancer Research 795
  • Oncology 993
  • Molecular Biology 1.4k
  • Pulmonary and Respiratory Medicine 571
  • Internal Medicine 63
Replace Faruk Taş with:
Faruk Taş Türkiye
Kohei Murata Japan
Yang Lü United States
Takeshi Nishikawa Japan
Eiji Sunami Japan
Yan Cheng China
Milena Gasco Italy
Peter Ellinghaus Germany
Cody J. Peer United States
Dan Su relative to Faruk Taş Türkiye Faruk Taş's profile →
Citations per field
00.5×
Faruk Taş · 1×
Citations per year

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 202099
3 200796
4 201394
5 201692
6 201492
7 201486
8 200784
9 201769
10 201766
11 200963
12 201360
13 202058
14 201358
15 201656
16 202155
17 202248
18 201444
19 201843
20 201443

About Dan Su

Dan Su is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 139 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Pancreatic and Hepatic Oncology Research (15 papers), Lung Cancer Treatments and Mutations (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Esophageal Cancer Research and Treatment (11 papers), Cancer Cells and Metastasis (11 papers), Lung Cancer Research Studies (9 papers) and Venous Thromboembolism Diagnosis and Management (7 papers). The work is most often cited by research in Cancer Research (795 citations), Oncology (993 citations), Molecular Biology (1.4k citations), Pulmonary and Respiratory Medicine (571 citations) and Internal Medicine (63 citations). Dan Su has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Lisha Ying, Weimin Mao, Liming Sheng, Jianguo Feng, Herbert Yu, Fanrong Zhang, Junzhou Wu, Hao Jiang, Pengjun Zhao and Kaiyan Chen. Their work appears in journals such as Oncotarget, Cancer Letters, Journal of Clinical Oncology, Heliyon and International Journal 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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