Jun Yin

5.6k citations
201 papers · 3.5k · h-index 33

Impact in

Papers in

    • RNA modifications and cancer 11
    • Epigenetics and DNA Methylation 8
    • Esophageal Cancer Research and Treatment 21

Jun Yin

185 papers receiving 3.5k citations

Peers

Jun Yin
Comparison fields: 5 of 146
  • Sensory Systems 209
  • Cancer Research 397
  • Biochemistry 172
  • Immunology 445
  • Pulmonary and Respiratory Medicine 633
Replace Roy L. Sutliff with:
Roy L. Sutliff United States
Koichi Sato Japan
Junichi Kambayashi Japan
László Homolya Hungary
Kunio Dobashi Japan
Tanveer Ahmad India
Ryohei Katoh Japan
Jonathan M. Gibbins United Kingdom
Takeshi Kubota Japan
Evgeny Berdyshev United States
Jun Yin relative to Roy L. Sutliff United States Roy L. Sutliff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 2009131
3 2008112
4 2012103
5 201192
6 201383
7 201682
8 201575
9 201072
10 201170
11 201366
12 201765
13 202063
14 201359
15 201555
16 201153
17 201152
18 201047
19 201347
20 201947

About Jun Yin

Jun Yin is a scholar working on Molecular Biology, Surgery, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 201 papers that have together received 3.5k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (21 papers), RNA modifications and cancer (11 papers), Epigenetics and DNA Methylation (8 papers), Immune Response and Inflammation (8 papers), Ion Channels and Receptors (8 papers), Immune Cell Function and Interaction (8 papers), Neuroscience of respiration and sleep (5 papers) and Pulmonary Hypertension Research and Treatments (5 papers). The work is most often cited by research in Sensory Systems (209 citations), Cancer Research (397 citations), Biochemistry (172 citations), Immunology (445 citations) and Pulmonary and Respiratory Medicine (633 citations). Jun Yin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wolfgang M. Kuebler, Haiyong Gu, Weifeng Tang, Hermann Kuppe, Suocheng Chen, Yijun Shi, Guowen Ding, Aizhong Shao, Chaoyang Tong and Júlia Hoffmann. Their work appears in journals such as PLoS ONE, Oncotarget, The FASEB Journal, Annals of Surgical Oncology and European Respiratory Journal.

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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