Jian‐Ming Li

3.7k citations
22 papers · 738 · h-index 12

Impact in

Papers in

    • Cancer-related gene regulation 2
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2
    • Peptidase Inhibition and Analysis 2

Jian‐Ming Li

20 papers receiving 730 citations

Peers

Jian‐Ming Li
Comparison fields: 5 of 87
  • Biological Psychiatry 24
  • Cancer Research 144
  • Oncology 170
  • Immunology 134
  • Endocrine and Autonomic Systems 31
Replace Weibo Niu with:
Weibo Niu China
Benjamin J. Reed United States
Xiangyang Xiong China
Hidenori Bando Japan
Changyu Sun China
Marisa R. Buchakjian United States
Alexandria Hoffman United States
Magali Fasseu France
Sarah C. Starossom United States
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Jian‐Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Ming Li. 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 Jian‐Ming Li. The network helps show where Jian‐Ming Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021131
2 2009119
3 2020107
4 202180
5 201973
6 202141
7 201529
8 201729
9 202028
10 202426
11 202123
12 202016
13 20259
14 20178
15 20158
16 20245
17 20212
18 20252
19 20241
20 20241

About Jian‐Ming Li

Jian‐Ming Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 738 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers), Nuclear Receptors and Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Cancer Research (144 citations), Oncology (170 citations), Immunology (134 citations) and Endocrine and Autonomic Systems (31 citations). Jian‐Ming Li has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Aijun Zhou, Jian-Ping Huo, Liheng Che, Yuanyuan Zhao, Yunxia Zhou, Wen Ni, Rong Zhou, Xiu‐Ming Li, Tianming Gao and Jinsong Liu. Their work appears in journals such as Cancer Biotherapy and Radiopharmaceuticals, Oncotarget, Signal Transduction and Targeted Therapy, Microbiome and Hepatology.

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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