Ke Su

1.7k citations
84 papers · 1.3k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Immunology top 10%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Cancer, Hypoxia, and Metabolism 5
    • MicroRNA in disease regulation 5
    • Cancer, Lipids, and Metabolism 3
    • Metabolism, Diabetes, and Cancer 5

Ke Su

76 papers receiving 1.2k citations

Peers

Ke Su
Comparison fields: 5 of 134
  • Cancer Research 309
  • Immunology 243
  • Nephrology 68
  • Molecular Biology 579
  • Pharmacology 66
Replace Shidong Wang with:
Shidong Wang China
Ying Lu China
Jia Liu China
Wijtske Annema Netherlands
Zhidong Wang China
Xiaoju Li China
Soheila Rahgozar Iran
Yao Zhang China
Xue Yang China
Ke Su relative to Shidong Wang China Shidong Wang's profile →
Citations per field
00.5×4.5×
Shidong Wang · 1×
Citations per year

Countries citing papers authored by Ke Su

Since Specialization
Citations

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

Fields of papers citing papers by Ke Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021118
2 202087
3 201880
4 202058
5 201152
6 201442
7 201938
8
A novel positive feedback regulation between long noncoding RNA UICC and IL-6/STAT3 signaling promotes cervical cancer progression.
201838
9 201737
10 202234
11 201933
12 201632
13 201231
14 201328
15 201627
16 201925
17 202125
18 202424
19 201723
20 202223

About Ke Su

Ke Su is a scholar working on Cancer Research, Molecular Biology, Oncology, Applied Microbiology and Biotechnology and Immunology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), MicroRNA in disease regulation (5 papers), Advanced Photocatalysis Techniques (4 papers), Diabetes Treatment and Management (4 papers), Perovskite Materials and Applications (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (309 citations), Immunology (243 citations), Nephrology (68 citations), Molecular Biology (579 citations) and Pharmacology (66 citations). Ke Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Wei, Pengchao Hu, Fang Yang, Chenghui Yang, Zhigang Zhang, Cheng Chen, Zhihao Zhang, Zhen Wang, Fuming Qiu and Lili Li. Their work appears in journals such as Frontiers in Immunology, Acta Pharmacologica Sinica, Frontiers in Public Health, Advanced Functional Materials and International Journal of Molecular Medicine.

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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