Li Yan

9.3k citations
194 papers · 6.2k · h-index 45

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
  • Oncology top 1%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 45
    • Cancer Cells and Metastasis 16
    • Epigenetics and DNA Methylation 26

Li Yan

189 papers receiving 6.2k citations

Peers

Li Yan
Comparison fields: 5 of 142
  • Cancer Research 2.2k
  • Oncology 2.4k
  • Immunology 1.3k
  • Molecular Biology 3.3k
  • Pulmonary and Respiratory Medicine 1.4k
Replace Lixia Diao with:
Lixia Diao United States
Ding Ma China
David Horst Germany
Noriomi Matsumura Japan
Lalita A. Shevde United States
Rugang Zhang United States
Carmen Behrens United States
Lisa G. Horvath Australia
Xishan Hao China
Li Yan relative to Lixia Diao United States Lixia Diao's profile →
Citations per field
00.5×1.5×
Lixia Diao · 1×
Citations per year

Countries citing papers authored by Li Yan

Since Specialization
Citations

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

Fields of papers citing papers by Li Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016278
2 2006251
3 2019223
4 2012222
5 2020163
6 2020139
7 2019129
8 2018117
9 2020110
10 2013107
11 2004104
12 201997
13 202092
14 201988
15
KRAS signaling enriched triple negative breast cancer is associated with favorable tumor immune microenvironment and better survival.
202088
16 201987
17 202085
18 201978
19 202078
20 201877

About Li Yan

Li Yan is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 194 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (45 papers), Ferroptosis and cancer prognosis (34 papers), Cancer Genomics and Diagnostics (29 papers), Epigenetics and DNA Methylation (26 papers), Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (20 papers), Immune cells in cancer (18 papers) and Cancer Cells and Metastasis (16 papers). The work is most often cited by research in Cancer Research (2.2k citations), Oncology (2.4k citations), Immunology (1.3k citations), Molecular Biology (3.3k citations) and Pulmonary and Respiratory Medicine (1.4k citations). Li Yan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Kazuaki Takabe, Masanori Oshi, Yoshihisa Tokumaru, Itaru Endo, Ryusei Matsuyama, Qianya Qi, Eriko Katsuta, Xuan Peng, Mariko Asaoka and Song Liu. Their work appears in journals such as Cancers, Oncotarget, Scientific Reports, International Journal of Molecular Sciences and Breast Cancer Research and Treatment.

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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