Peng Song

668 citations
34 papers · 473 indexed · h-index 13

Peng Song

33 papers receiving 460 citations

Peers

Peng Song
Comparison fields: 5 of 63
  • Hepatology 227
  • Internal Medicine 23
  • Surgery 205
  • Genetics 43
  • Pathology and Forensic Medicine 59
Replace Tatsuro Kamakura with:
Tatsuro Kamakura Japan
Zhaojun Lu China
Daisyu Toya Japan
K. W. Jauch Germany
N J Carty United Kingdom
Hongyuan Fu China
Peter Salaj Czechia
Stacy Nerenstone United States
Eiki Ojima Japan
Zhangheng Huang China
Peng Song relative to Tatsuro Kamakura Japan Tatsuro Kamakura's profile →
Citations per field
00.5×5.2×
Tatsuro Kamakura · 1×
Citations per year

Countries citing papers authored by Peng Song

Since Specialization
Citations

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

Fields of papers citing papers by Peng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20245
4 20242
5 202311
6 202110
7 202114
8 20171
9
Sentinel bleeding after a pancreaticoduodenectomy: whether to perform a prophylactic embolization
20172
10
[Value of (18)F-FDG PET in preoperative TACE of hepatocellular carcinoma].
20141
11 201326
12 201321
13
[Management of acute massive pulmonary thrombosis embolism with interventional techniques].
20123
14 201221
15 201111
16 201045
17 200921
18 200959
19
[Clinical observation of the treatment with combination of transcatheter arterial chemoembolization and sorafenib for hepatocellular carcinoma with lung metastasis].
20094
20 200748

About Peng Song

Peng Song is a scholar working on Hepatology, Gastroenterology and Pathology and Forensic Medicine, having authored 34 papers that have together received 473 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease and Transplantation (7 papers), Cancer Mechanisms and Therapy (5 papers), Renal cell carcinoma treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Abdominal Trauma and Injuries (3 papers). The work is most often cited by research in Hepatology (227 citations), Internal Medicine (23 citations) and Surgery (205 citations). Peng Song has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Maoqiang Wang, Feng Duan, Fengyong Liu, Zhijun Wang, Jing Yang, Gang Zhou, Zhijun Wang, Jieyu Yan, Shihua Zhao and Xiaoling Zhang. Their work appears in journals such as Fuel, Journal of Thoracic and Cardiovascular Surgery and World Journal of Gastroenterology.

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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