Jun Wen

477 citations
14 papers · 310 · 1 hit paper · h-index 10

Impact in

Papers in

Jun Wen

13 papers receiving 308 citations

Jun Wen's Hit Papers

Peptostreptococcus anaerobius mediates anti-PD1 therapy resistance and exacerbates colorectal cancer via myeloid-derived suppressor cells in mice 2024 · 65 citations
650+1Years since publication204060

Peers

Jun Wen
Comparison fields: 5 of 44
  • Cancer Research 57
  • Pulmonary and Respiratory Medicine 71
  • Oncology 60
  • Molecular Biology 115
  • Biotechnology 14
Replace Cigdem Ussakli with:
Cigdem Ussakli United States
Chengkai Jiang China
Ye An China
Annalisa Comandatore Italy
Genhao Zhang China
Changcan Li China
Huita Wu China
Xuqing Shen China
Di He United States
Nobuhiro Torata Japan
Jun Wen relative to Cigdem Ussakli United States Cigdem Ussakli's profile →
Citations per field
00.5×10×14×
Cigdem Ussakli · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2023100
2
Peptostreptococcus anaerobius mediates anti-PD1 therapy resistance and exacerbates colorectal cancer via myeloid-derived suppressor cells in mice
Hit paper breakdown →
202465
3 202438
4 199823
5 201917
6 201816
7 202415
8 201011
9 20249
10 20189
11 20185
12 20241
13 20241
14 20250

About Jun Wen

Jun Wen is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Oncology and Physiology, having authored 14 papers that have together received 310 indexed citations. Recurring topics across this work include Gallbladder and Bile Duct Disorders (3 papers), Renal cell carcinoma treatment (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Muscle Physiology and Disorders (1 paper), Pancreatitis Pathology and Treatment (1 paper), Gut microbiota and health (1 paper), Cancer Research and Treatments (1 paper) and Vascular Tumors and Angiosarcomas (1 paper). The work is most often cited by research in Cancer Research (57 citations), Pulmonary and Respiratory Medicine (71 citations), Oncology (60 citations), Molecular Biology (115 citations) and Biotechnology (14 citations). Jun Wen has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Jun Yu, Chi Chun Wong, Alvin H.K. Cheung, Dan Huang, Yanqiang Ding, Like Bie, Biao Gong, Yunfei Zhou, Yasi Pan and Harry Cheuk-Hay Lau. Their work appears in journals such as Gut, Pancreatology, Nature Microbiology, Frontiers in Neurology and American Journal of Cancer Research.

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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