Junjun Li

2.4k citations
70 papers · 1.6k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA Research and Splicing

Papers in

    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 11
    • Cancer, Hypoxia, and Metabolism 5
    • Enzyme Production and Characterization 7

Junjun Li

67 papers receiving 1.6k citations

Peers

Junjun Li
Comparison fields: 5 of 117
  • Cancer Research 717
  • Molecular Biology 1.1k
  • Biotechnology 132
  • Oncology 221
  • Immunology 158
Replace Vivi Kasim with:
Vivi Kasim China
Feifei Li China
Alan Yueh‐Luen Lee Taiwan
Chunxiao Zhou United States
Huarong Huang China
Fen Yang China
J. E. Kravchenko Russia
Paola Maycotte Mexico
Susana Romero‐Garcia Mexico
Ana Janic Australia
Junjun Li relative to Vivi Kasim China Vivi Kasim's profile →
Citations per field
00.5×1.5×2.0×
Vivi Kasim · 1×
Citations per year

Countries citing papers authored by Junjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 2020134
3 2020108
4 202094
5 202355
6 201555
7 201753
8 201443
9 201743
10 201942
11 201942
12 201639
13 201638
14 201936
15 201230
16 202030
17 201530
18 201630
19 201529
20 202027

About Junjun Li

Junjun Li is a scholar working on Cancer Research, Biotechnology, Molecular Biology, Immunology and Otorhinolaryngology, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers), MicroRNA in disease regulation (11 papers), RNA Research and Splicing (8 papers), Enzyme Production and Characterization (7 papers), Circular RNAs in diseases (6 papers), Cancer-related gene regulation (6 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Cancer Research (717 citations), Molecular Biology (1.1k citations), Biotechnology (132 citations), Oncology (221 citations) and Immunology (158 citations). Junjun Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Nanxiang Xiong, Guiyuan Li, Xiaoling Li, Mei Yi, Bo Xiang, Hongliang Yuan, Yuanyuan Ban, Hongyang Zhao, Jing Cai and Wei Xiong. Their work appears in journals such as Frontiers in Oncology, Journal of Cellular Physiology, Journal of Ovarian Research, Acta Neurochirurgica and Medical Oncology.

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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