Junan Li

2.9k citations
103 papers · 2.2k · h-index 23

Impact in

Papers in

    • RNA modifications and cancer 9
    • Epigenetics and DNA Methylation 8
    • Ubiquitin and proteasome pathways 7
    • Cancer-related Molecular Pathways 27

Junan Li

96 papers receiving 2.2k citations

Peers

Junan Li
Comparison fields: 5 of 139
  • Oncology 660
  • Cancer Research 318
  • Molecular Biology 1.2k
  • Otorhinolaryngology 59
  • Cell Biology 209
Replace Mataleena Parikka with:
Mataleena Parikka Finland
Motoaki Yasuda Japan
Toshiyuki Sasagawa Japan
Kevin Gaston United Kingdom
Kong‐Bung Choo Taiwan
Susanna Chiocca Italy
Anders Elm Pedersen Denmark
Frank Rösl Germany
Choon Kiat Ong Singapore
Souei Sekiya Japan
Junan Li relative to Mataleena Parikka Finland Mataleena Parikka's profile →
Citations per field
00.5×3.1×
Mataleena Parikka · 1×
Citations per year

Countries citing papers authored by Junan Li

Since Specialization
Citations

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

Fields of papers citing papers by Junan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006471
2 2011247
3 1998135
4 202188
5 200281
6 201560
7 201950
8 200850
9 200142
10 200441
11 199941
12 201935
13 202034
14 199934
15 201728
16 200328
17
Gankyrin, a biomarker for epithelial carcinogenesis, is overexpressed in human oral cancer.
201128
18 201927
19 200327
20 200425

About Junan Li

Junan Li is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Epidemiology and Hematology, having authored 103 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (27 papers), RNA modifications and cancer (9 papers), Microtubule and mitosis dynamics (8 papers), Multiple Myeloma Research and Treatments (8 papers), Epigenetics and DNA Methylation (8 papers), Innovations in Medical Education (7 papers), Ubiquitin and proteasome pathways (7 papers) and Research on Leishmaniasis Studies (6 papers). The work is most often cited by research in Oncology (660 citations), Cancer Research (318 citations), Molecular Biology (1.2k citations), Otorhinolaryngology (59 citations) and Cell Biology (209 citations). Junan Li has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ming‐Daw Tsai, Anjali Mahajan, Ming Poi, In‐Ja L. Byeon, Christopher M. Weghorst, Thomas L. Selby, Thomas J. Knobloch, Karen L. Ericson, Paul E. O’Maille and Chunhua Yuan. Their work appears in journals such as Biochemistry, Molecular Carcinogenesis, Anticancer Research, American Journal of Pharmaceutical Education and Journal of the American Pharmacists Association.

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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