Bing Peng

1.4k total citations
66 papers, 805 citations indexed

About

Bing Peng is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Bing Peng has authored 66 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 42 papers in Pulmonary and Respiratory Medicine and 41 papers in Surgery. Recurrent topics in Bing Peng's work include Pancreatic and Hepatic Oncology Research (51 papers), Gastric Cancer Management and Outcomes (19 papers) and Gallbladder and Bile Duct Disorders (18 papers). Bing Peng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (51 papers), Gastric Cancer Management and Outcomes (19 papers) and Gallbladder and Bile Duct Disorders (18 papers). Bing Peng collaborates with scholars based in China, South Korea and United Kingdom. Bing Peng's co-authors include Yunqiang Cai, Yongbin Li, Lingwei Meng, Pan Gao, Mingjun Wang, Zhong Wu, Zhaoda Zhang, Xin Wang, He Cai and Hua Zhang and has published in prestigious journals such as Scientific Reports, British journal of surgery and Medicine.

In The Last Decade

Bing Peng

60 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bing Peng China 16 586 530 414 99 65 66 805
Kazunari Nakahara Japan 15 267 0.5× 498 0.9× 397 1.0× 116 1.2× 43 0.7× 105 818
Chang-Sup Lim South Korea 13 435 0.7× 465 0.9× 270 0.7× 118 1.2× 34 0.5× 52 632
Kyoung Hoon Lim South Korea 13 767 1.3× 726 1.4× 294 0.7× 27 0.3× 25 0.4× 47 1.1k
Jérôme Guiramand France 17 638 1.1× 517 1.0× 424 1.0× 145 1.5× 95 1.5× 49 948
Erwin J. M. van Geenen Netherlands 13 323 0.6× 572 1.1× 244 0.6× 216 2.2× 93 1.4× 44 784
Shunsuke Omoto Japan 18 692 1.2× 839 1.6× 701 1.7× 155 1.6× 65 1.0× 80 1.1k
Yara Backes Netherlands 14 376 0.6× 212 0.4× 368 0.9× 126 1.3× 86 1.3× 16 708
Davide Prezzi United Kingdom 16 200 0.3× 366 0.7× 162 0.4× 127 1.3× 22 0.3× 36 803
Amr I. Al Abbas United States 17 645 1.1× 587 1.1× 384 0.9× 74 0.7× 63 1.0× 46 888
Bülent Arslan United States 18 166 0.3× 646 1.2× 569 1.4× 70 0.7× 25 0.4× 67 999

Countries citing papers authored by Bing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Bing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Peng. A scholar is included among the top collaborators of Bing Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Peng. Bing Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jing, He Cai, Man Zhang, Yunqiang Cai, & Bing Peng. (2025). Perioperative risk factors for overall survival of patients with pancreatic ductal adenocarcinoma underwent laparoscopic pancreaticoduodenectomy. Updates in Surgery. 77(3). 717–724.
2.
3.
Meng, Lingwei, Jun Li, Yongbin Li, et al.. (2024). Delayed gastric emptying after laparoscopic pancreaticoduodenectomy: a single-center experience of 827 cases. BMC Surgery. 24(1). 145–145. 1 indexed citations
4.
Cai, He, Fei Lü, Pan Gao, et al.. (2024). Risk factors of textbook outcome in laparoscopic pancreatoduodenectomy: results from a prospective high-volume center study. BMC Surgery. 24(1). 233–233. 2 indexed citations
5.
Cheng, Ke, Zixin Chen, Yu Cai, et al.. (2024). PLEK2 promotes migration and invasion in pancreatic ductal adenocarcinoma by MMP1 through IL-17 pathway. Molecular and Cellular Biochemistry. 480(4). 2401–2412. 1 indexed citations
6.
Zhang, Jing, He Cai, Man Zhang, et al.. (2024). Textbook oncologic outcomes are associated with increased overall survival in patients with pancreatic head cancer after undergoing laparoscopic pancreaticoduodenectomy. World Journal of Surgical Oncology. 22(1). 43–43. 2 indexed citations
7.
Cai, He, Ke Cheng, Lingwei Meng, et al.. (2024). Artificial intelligence automated surgical phases recognition in intraoperative videos of laparoscopic pancreatoduodenectomy. Surgical Endoscopy. 38(9). 4894–4905. 3 indexed citations
8.
Li, Yongbin, He Cai, Xin Wang, et al.. (2024). Interim analysis of short-term outcomes after laparoscopic spleen-preserving distal pancreatectomy with or without preservation of splenic vessels: a randomised controlled trial. International Journal of Surgery. 111(1). 617–627. 4 indexed citations
9.
10.
Chen, Zixin, Ang Li, Yu Cao, et al.. (2023). SurgSmart: an artificial intelligent system for quality control in laparoscopic cholecystectomy: an observational study. International Journal of Surgery. 109(5). 1105–1114. 13 indexed citations
11.
Cai, He, et al.. (2022). “Plane first” approach for laparoscopic radical antegrade modular pancreatosplenectomy. Surgical Endoscopy. 36(10). 7471–7476. 2 indexed citations
12.
13.
Cheng, Ke, et al.. (2021). Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis. Surgical Endoscopy. 36(5). 3160–3168. 52 indexed citations
14.
Cai, Yunqiang, He Cai, Yajia Lan, et al.. (2021). Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy. BMC Surgery. 21(1). 7–7. 9 indexed citations
15.
Li, Yongbin, et al.. (2020). Laparoscopic Central Splenectomy for Littoral Cell Angioma. Journal of Gastrointestinal Surgery. 25(2). 576–577. 3 indexed citations
16.
Cai, Yunqiang, Hua Luo, Yongbin Li, Pan Gao, & Bing Peng. (2018). A novel technique of pancreaticojejunostomy for laparoscopic pancreaticoduodenectomy. Surgical Endoscopy. 33(5). 1572–1577. 49 indexed citations
17.
Cai, Yunqiang, Pan Gao, Yongbin Li, Xin Wang, & Bing Peng. (2018). Laparoscopic pancreaticoduodenectomy with major venous resection and reconstruction: anterior superior mesenteric artery first approach. Surgical Endoscopy. 32(10). 4209–4215. 42 indexed citations
18.
Cai, Yunqiang, Yongbin Li, Pan Gao, Xin Wang, & Bing Peng. (2018). Laparoscopic pancreaticoduodenectomy with major venous resection and reconstruction with repassed round ligament: a case report. Annals of Translational Medicine. 6(11). 213–213. 4 indexed citations
19.
Wang, Mingjun, He Cai, Lingwei Meng, et al.. (2016). Minimally invasive pancreaticoduodenectomy: A comprehensive review. International Journal of Surgery. 35. 139–146. 38 indexed citations
20.
Wu, Zhong, et al.. (2013). The learning curve for laparoscopic splenectomy for massive splenomegaly: a single surgeon’s experience. Chinese Medical Journal. 126(11). 2103–2108. 10 indexed citations

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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