Jingjun Yan

569 citations
17 papers · 435 · h-index 12

Impact in

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

Papers in

Jingjun Yan

16 papers receiving 430 citations

Peers

Jingjun Yan
Comparison fields: 5 of 72
  • Cancer Research 141
  • Molecular Biology 217
  • Pathology and Forensic Medicine 46
  • Oncology 52
  • Hepatology 14
Replace Hun Soon Jung with:
Hun Soon Jung South Korea
Hongbing Ni China
Francesca Piaggio Italy
Yibin Wu China
Ming‐Xing Liang China
Qingwen Huang China
Duoduo Lv China
Jingwen Du China
Shahrokh Mohammadzadeh Ghobadloo Canada
Jingjun Yan relative to Hun Soon Jung South Korea Hun Soon Jung's profile →
Citations per field
00.5×1.5×
Hun Soon Jung · 1×
Citations per year

Countries citing papers authored by Jingjun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jingjun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201590
2 202064
3 201962
4 201432
5 202328
6 201728
7 201527
8 201522
9 201419
10 201618
11 201515
12 201313
13 20249
14 20255
15 20232
16 20191
17
[Experimental study on the prevention of epidural scar adhesion with polycaprolactone/polylactic acid membrane].
20040

About Jingjun Yan

Jingjun Yan is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Mechanics of Materials and Neurology, having authored 17 papers that have together received 435 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Cancer-related Molecular Pathways (3 papers), Metal and Thin Film Mechanics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA modifications and cancer (2 papers), Diamond and Carbon-based Materials Research (2 papers), Circular RNAs in diseases (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (141 citations), Molecular Biology (217 citations), Pathology and Forensic Medicine (46 citations), Oncology (52 citations) and Hepatology (14 citations). Jingjun Yan has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Xingxing He, Ying Chang, Jiazhi Liao, Yu‐Nan Zhang, Jusheng Lin, Ju‐Sheng Lin, Junwei Yan, Yuhu Song, Pei-Yuan Li and Min Wang. Their work appears in journals such as Tumor Biology, Oncotarget, Scientific Reports, Molecular Therapy — Nucleic Acids and Liver International.

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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