Pan Song

908 citations
49 papers · 498 · 1 hit paper · h-index 14

Impact in

  • Urology top 10%
    • Urinary Bladder and Prostate Research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Pan Song

49 papers receiving 494 citations

Hit Papers

Roles of reactive oxygen species in inflammation and cancer 2024 · 62 citations
620+1Years since publication204060

Peers

Pan Song
Comparison fields: 5 of 92
  • Urology 56
  • Cancer Research 94
  • Endocrine and Autonomic Systems 31
  • Biochemistry 21
  • Rheumatology 52
Replace Kehua Jiang with:
Kehua Jiang China
Maciej Jóźwik Poland
S Sukumar United States
Chao Song China
Wenhui Zhang China
James McDaid United Kingdom
Hung‐Jen Shih Taiwan
Giorgio Carlo Ginesu Italy
Necip Pirinçci Türkiye
Sixing Yang China
Pan Song relative to Kehua Jiang China Kehua Jiang's profile →
Citations per field
00.5×3.5×
Kehua Jiang · 1×
Citations per year

Countries citing papers authored by Pan Song

Since Specialization
Citations

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

Fields of papers citing papers by Pan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Roles of reactive oxygen species in inflammation and cancer
Hit paper breakdown →
202462
2 201435
3 201731
4 201327
5 201926
6 202223
7 202418
8 201617
9 201817
10 201816
11 202316
12 202215
13 202114
14 201914
15 202111
16 201710
17 20249
18 20189
19 20209
20 20148

About Pan Song

Pan Song is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Urology, Molecular Biology and Cancer Research, having authored 49 papers that have together received 498 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers), Bladder and Urothelial Cancer Treatments (8 papers), Urological Disorders and Treatments (7 papers), Urinary Bladder and Prostate Research (5 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Cancer-related molecular mechanisms research (4 papers) and Urologic and reproductive health conditions (4 papers). The work is most often cited by research in Urology (56 citations), Cancer Research (94 citations), Endocrine and Autonomic Systems (31 citations), Biochemistry (21 citations) and Rheumatology (52 citations). Pan Song has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Qiang Dong, Luchen Yang, Zhenghuan Liu, Chuiguo Huang, Zhufeng Peng, Naijun Yuan, Jing Zhou, Shengzhuo Liu, Changbao Xu and Xinghua Zhao. Their work appears in journals such as International Journal of Surgery, Journal of Cancer, Frontiers in Oncology, Frontiers in Endocrinology and Scientific Reports.

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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