Gen Li

6.1k citations
98 papers · 2.2k · 2 hit papers · h-index 22

Impact in

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 5
    • Epigenetics and DNA Methylation 5
    • Mitochondrial Function and Pathology 5
    • Ubiquitin and proteasome pathways 4
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 5
    • Cancer, Hypoxia, and Metabolism 5

Gen Li

88 papers receiving 2.2k citations

Gen Li's Hit Papers

Artificial intelligence in drug development 2025 · 163 citations
1630+10+21Years since publication200400600

Peers

Gen Li
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 384
  • Cancer Research 219
  • Molecular Biology 1.1k
  • Biological Psychiatry 36
  • Biochemistry 108
Replace Jiejun Wu with:
Jiejun Wu United States
Hwajin Kim South Korea
Vinay Choubey Estonia
Kentaro Maemura Japan
Young‐Ho Lee South Korea
Daniel Hornburg Germany
Tian‐Quan Cai United States
Xin Jiang China
Gen Li relative to Jiejun Wu United States Jiejun Wu's profile →
Citations per field
00.5×5.9×
Jiejun Wu · 1×
Citations per year

Countries citing papers authored by Gen Li

Since Specialization
Citations

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

Fields of papers citing papers by Gen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Agmatine: an Endogenous Clonidine-Displacing Substance in the Brain
Hit paper breakdown →
1994665
2
Artificial intelligence in drug development
Hit paper breakdown →
2025163
3 2019130
4 201990
5 202164
6 202160
7 202158
8 201757
9 201850
10 202047
11 201847
12 201743
13 201337
14 201837
15 201833
16 202229
17 201927
18 202126
19 201926
20 201825

About Gen Li

Gen Li is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), MicroRNA in disease regulation (6 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Mitochondrial Function and Pathology (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (384 citations), Cancer Research (219 citations), Molecular Biology (1.1k citations), Biological Psychiatry (36 citations) and Biochemistry (108 citations). Gen Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Colin J. Barrow, Raymond Cooper, Jamshid Eshraghi, S. Regunathan, Donald J. Reis, Kang Zhang, Xin Yang, Joseph C. Wu, Niu Huang and Shengyong Yang. Their work appears in journals such as Frontiers in Immunology, Proceedings of the National Academy of Sciences, International Immunopharmacology, Carcinogenesis and Frontiers in Cellular and Infection Microbiology.

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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