Jun Lin

6.5k citations
109 papers · 2.7k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • Mitochondrial Function and Pathology
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 5
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 9

Jun Lin

104 papers receiving 2.6k citations

Peers

Jun Lin
Comparison fields: 5 of 132
  • Cancer Research 710
  • Molecular Biology 1.1k
  • Infectious Diseases 267
  • Oncology 249
  • Cardiology and Cardiovascular Medicine 201
Replace Xiang‐An Li with:
Xiang‐An Li United States
Hong Ren China
Rosário Dominguez Crespo Hirata Brazil
Haixia Cao China
Amy P. Patterson United States
Huan Liu China
Nigora Mukhamedova Australia
Jinsheng Yu United States
Isabelle Colle Belgium
Ole Thorlacius‐Ussing Denmark
Jun Lin relative to Xiang‐An Li United States Xiang‐An Li's profile →
Citations per field
00.5×2×2.7×
Xiang‐An Li · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008234
2 2010186
3 2020158
4 2014140
5 2013127
6 2010123
7 2011104
8 201199
9 200984
10 201078
11 200776
12 201874
13 202071
14 202068
15 202146
16 202242
17 200840
18 201136
19 201133
20 201633

About Jun Lin

Jun Lin is a scholar working on Molecular Biology, Cancer Research, Immunology, Infectious Diseases and Surgery, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (9 papers), COVID-19 Clinical Research Studies (8 papers), T-cell and B-cell Immunology (6 papers), RNA modifications and cancer (6 papers), Immune Cell Function and Interaction (6 papers), Epigenetics and DNA Methylation (5 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Cancer Research (710 citations), Molecular Biology (1.1k citations), Infectious Diseases (267 citations), Oncology (249 citations) and Cardiology and Cardiovascular Medicine (201 citations). Jun Lin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Longyun Peng, Xiuren Gao, Jian Gu, Xifeng Wu, Zhiyi Zuo, Youqin Yan, Xuyu He, Yadong Gao, C. G. Wood and Theresa May Chin Tan. Their work appears in journals such as Carcinogenesis, Scandinavian Journal of Gastroenterology, Oncology Reports, Signal Transduction and Targeted Therapy and Frontiers in 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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