Kaimi Li

677 citations
15 papers · 397 indexed · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Cells and Metastasis 3
    • Cancer-related Molecular Pathways 3
    • Cancer, Hypoxia, and Metabolism 3
    • Cancer Genomics and Diagnostics 2

Kaimi Li

15 papers receiving 393 citations

Peers

Kaimi Li
Comparison fields: 5 of 57
  • Cancer Research 132
  • Oncology 138
  • Immunology 79
  • Pulmonary and Respiratory Medicine 102
  • Molecular Biology 211
Replace Zejun Fang with:
Zejun Fang China
Gaël S. Roth France
Can Lu China
Junyi Hou China
Linlin Lou China
Funmilayo O. Adeshakin China
Ha‐Reum Lee South Korea
Janét Pittsenbarger United States
Nobuyasu Hayashi Japan
Tania Valencia United States
Kaimi Li relative to Zejun Fang China Zejun Fang's profile →
Citations per field
00.5×1.5×
Zejun Fang · 1×
Citations per year

Countries citing papers authored by Kaimi Li

Since Specialization
Citations

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

Fields of papers citing papers by Kaimi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20242
2 20233
3 202312
4 202111
5 20219
6 202056
7 202013
8 201977
9 201946
10 201955
11 201912
12 201920
13
Dysregulated ENPP1 increases the malignancy of human lung cancer by inducing epithelial-mesenchymal transition phenotypes and stem cell features.
201932
14
Stabilization of PTGES by deubiquitinase USP9X promotes metastatic features of lung cancer via PGE2 signaling.
201928
15 201821

About Kaimi Li

Kaimi Li is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 15 papers that have together received 397 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (3 papers), RNA modifications and cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers), Genetic factors in colorectal cancer (2 papers), Immune cells in cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (132 citations), Oncology (138 citations), Immunology (79 citations), Pulmonary and Respiratory Medicine (102 citations) and Molecular Biology (211 citations). Kaimi Li has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Wenzheng Guo, Hongyong Song, Bo Jing, Yueling Liao, Tong Wang, Yanbin Kuang, Ling Jing, Jiong Deng, Beibei Sun and Feng Yao. Their work appears in journals such as Frontiers in Oncology, Neoplasia, Modern Pathology, Cell Death and Disease and Biomedicine & Pharmacotherapy.

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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