Jun Yuan

1.7k citations
72 papers · 1.2k · h-index 21

Impact in

Papers in

Jun Yuan

71 papers receiving 1.2k citations

Peers

Jun Yuan
Comparison fields: 5 of 127
  • Cancer Research 245
  • Pulmonary and Respiratory Medicine 299
  • Neurology 72
  • Molecular Biology 521
  • Oncology 156
Replace Peter E. Lonergan with:
Peter E. Lonergan United States
Chia‐Yu Wang United States
Amy Jayne McKnight United Kingdom
S. Friis Denmark
Jianhua Xu China
Ning Zhu China
Robert B. MacArthur United States
Sumita Sinha United States
Rong Wang China
Miklós Garami Hungary
Jun Yuan relative to Peter E. Lonergan United States Peter E. Lonergan's profile →
Citations per field
00.5×1.5×
Peter E. Lonergan · 1×
Citations per year

Countries citing papers authored by Jun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interleukin-1 beta-converting enzyme mediates cisplatin-induced apoptosis in malignant glioma cells.
199589
2 201880
3 201878
4 201862
5 201659
6 202258
7 201851
8 201851
9 201848
10 201839
11 201838
12 201933
13 200432
14 201932
15 201623
16 201523
17 202123
18 201622
19 201721
20 201621

About Jun Yuan

Jun Yuan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Cancer Research, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Bladder and Urothelial Cancer Treatments (7 papers), Renal cell carcinoma treatment (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), RNA modifications and cancer (5 papers), Prostate Cancer Treatment and Research (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Urinary and Genital Oncology Studies (4 papers). The work is most often cited by research in Cancer Research (245 citations), Pulmonary and Respiratory Medicine (299 citations), Neurology (72 citations), Molecular Biology (521 citations) and Oncology (156 citations). Jun Yuan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhenlei Zha, Hu Zhao, Bin Wu, Lijin Zhang, Wei Qu, Lijin Zhang, Tatsuo Morimura, Aytaç Akbaşak, Seiji Kondo and Barbara P. Barna. Their work appears in journals such as Frontiers in Oncology, The International Journal of Biochemistry & Cell Biology, International Journal of Environmental Research and Public Health, Molecules and Medicine.

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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