Jun Yin

5.5k citations
205 papers · 3.5k indexed · h-index 33

Impact in

Papers in

Jun Yin

187 papers receiving 3.4k citations

Peers

Jun Yin
Comparison fields: 5 of 149
  • Sensory Systems 214
  • Cancer Research 464
  • Biochemistry 184
  • Pulmonary and Respiratory Medicine 810
  • Immunology 518
Replace Roy L. Sutliff with:
Roy L. Sutliff United States
Koichi Sato Japan
Junichi Kambayashi Japan
Kunio Dobashi Japan
Tanveer Ahmad India
Michaela Kühn Germany
Jonathan M. Gibbins United Kingdom
Evgeny Berdyshev United States
Xin Chen China
Brenda R. Kwak Switzerland
Jun Yin relative to Roy L. Sutliff United States Roy L. Sutliff's profile →
Citations per field
00.5×2.7×
Roy L. Sutliff · 1×
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
#Work
1 20250
2 20250
3 202411
4 20241
5 20248
6 202313
7 20234
8 202311
9 20224
10
The Single Nucleotide Polymorphisms of AP1S1 are Associated with Risk of Esophageal Squamous Cell Carcinoma in Chinese Population
20224
11 202214
12 20222
13 20208
14 201572
15
Newcastle disease virus promotes expression of TNF-related apoptosis-inducing ligand in human NK cells
20121
16 201228
17 2012101
18
Single-incision laparoscopic cholecystectomy using conventional instruments
20111
19 201072
20
Results of a randomised, double-blind placebo controlled phase III study of filgrastim in remission induction and early consolidation therapy for adults with de-novo acute myeloid leukemia
199512

About Jun Yin

Jun Yin is a scholar working on Cancer Research, Sensory Systems, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 205 papers that have together received 3.5k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (23 papers), RNA modifications and cancer (14 papers), Sepsis Diagnosis and Treatment (12 papers), Gastric Cancer Management and Outcomes (12 papers), Immune Response and Inflammation (9 papers), Immune Cell Function and Interaction (9 papers), Ion Channels and Receptors (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Sensory Systems (214 citations), Cancer Research (464 citations), Biochemistry (184 citations), Pulmonary and Respiratory Medicine (810 citations) and Immunology (518 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, Júlia Hoffmann and Chaoyang Tong. Their work appears in journals such as PLoS ONE, The FASEB Journal, Oncotarget, European Respiratory Journal and Annals of Surgical 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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