Junfeng Li

4.4k citations
216 papers · 3.1k · h-index 29

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Receptor Mechanisms and Signaling 8
    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Advanced biosensing and bioanalysis techniques 6
    • interferon and immune responses 6

Junfeng Li

209 papers receiving 3.1k citations

Peers

Junfeng Li
Comparison fields: 5 of 163
  • Cancer Research 311
  • Infectious Diseases 355
  • Molecular Biology 1.2k
  • Immunology 313
  • Hepatology 89
Replace Xinran Li with:
Xinran Li China
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Li Zhang China
Chun‐Lin Chen Taiwan
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Citations per field
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Xinran Li · 1×
Citations per year

Countries citing papers authored by Junfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 216 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018160
2 202083
3 202070
4 201568
5 201564
6 202064
7 201963
8 201462
9 202061
10 202054
11 201750
12 201648
13 200446
14 200945
15 200144
16 201642
17 201741
18 201841
19 201839
20 201739

About Junfeng Li

Junfeng Li is a scholar working on Molecular Biology, Immunology, Surgery, Plant Science and Hepatology, having authored 216 papers that have together received 3.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Pancreatic function and diabetes (7 papers), RNA modifications and cancer (7 papers), interferon and immune responses (6 papers), RNA Research and Splicing (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Liver physiology and pathology (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Cancer Research (311 citations), Infectious Diseases (355 citations), Molecular Biology (1.2k citations), Immunology (313 citations) and Hepatology (89 citations). Junfeng Li has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Yusen Zhou, Xue Chen, Yan Guo, Shihui Sun, Guangyu Zhao, Lanying Du, Pan Xue, Shibo Jiang, Yuting Jiang and Yuehong Chen. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, International Journal of Molecular Sciences, Medicine and Cardiovascular Diabetology.

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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