Ke Su

1.8k citations
89 papers · 1.4k · h-index 22

Impact in

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

Papers in

Ke Su

81 papers receiving 1.4k citations

Peers

Ke Su
Comparison fields: 5 of 135
  • Cancer Research 275
  • Immunology 235
  • Nephrology 59
  • Molecular Biology 515
  • Oncology 175
Replace Jia Liu with:
Jia Liu China
Yingying Lu China
Zhidong Wang China
Biao Zhang China
Rajinder Singh United Kingdom
Ying Lu China
Junfeng Liu China
Li Jun Xu China
Yuan Qin China
Xue Yang China
Ke Su relative to Jia Liu China Jia Liu's profile →
Citations per field
00.5×1.5×
Jia Liu · 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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021135
2 202097
3 201884
4 202067
5 201154
6 201443
7 201942
8
A novel positive feedback regulation between long noncoding RNA UICC and IL-6/STAT3 signaling promotes cervical cancer progression.
201840
9 201738
10 202237
11 201635
12 201234
13 201933
14 201632
15 202431
16 201330
17 202126
18 201926
19 201724
20 201523

About Ke Su

Ke Su is a scholar working on Cancer Research, Molecular Biology, Oncology, Renewable Energy, Sustainability and the Environment and Endocrinology, Diabetes and Metabolism, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Diabetes Treatment and Management (4 papers), MicroRNA in disease regulation (4 papers), Perovskite Materials and Applications (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Advanced Photocatalysis Techniques (4 papers), Cancer Cells and Metastasis (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Cancer Research (275 citations), Immunology (235 citations), Nephrology (59 citations), Molecular Biology (515 citations) and Oncology (175 citations). Ke Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Wei, Pengchao Hu, Zhi-gang Zhang, Fang Yang, Chenghui Yang, Zhihao Zhang, Cheng Chen, Tian Xia, Fuming Qiu and Lili Li. Their work appears in journals such as Frontiers in Immunology, Acta Pharmacologica Sinica, International Journal of Molecular Medicine, Frontiers in Public Health and Biomedical Chromatography.

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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