Daisuke Ban

3.9k total citations · 1 hit paper
125 papers, 2.3k citations indexed

About

Daisuke Ban is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Daisuke Ban has authored 125 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Oncology, 56 papers in Surgery and 43 papers in Epidemiology. Recurrent topics in Daisuke Ban's work include Pancreatic and Hepatic Oncology Research (58 papers), Hepatocellular Carcinoma Treatment and Prognosis (27 papers) and Neuroendocrine Tumor Research Advances (24 papers). Daisuke Ban is often cited by papers focused on Pancreatic and Hepatic Oncology Research (58 papers), Hepatocellular Carcinoma Treatment and Prognosis (27 papers) and Neuroendocrine Tumor Research Advances (24 papers). Daisuke Ban collaborates with scholars based in Japan, United States and Italy. Daisuke Ban's co-authors include Minoru Tanabe, Atsushi Kudo, Shinji Tanaka, Shigeki Arii, Yusuke Mitsunori, Takanori Ochiai, Satoshi Matsumura, Takumi Irie, Noriaki Nakamura and Kazuaki Shimada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Daisuke Ban

109 papers receiving 2.3k citations

Hit Papers

A novel difficulty scoring system for laparoscopic liver ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Ban Japan 27 1.2k 843 782 623 563 125 2.3k
Skye C. Mayo United States 24 1.5k 1.2× 959 1.1× 808 1.0× 620 1.0× 293 0.5× 93 2.3k
Austin G. Duffy United States 27 1.5k 1.3× 723 0.9× 716 0.9× 749 1.2× 512 0.9× 87 2.8k
David Cosgrove United States 31 1.1k 0.9× 788 0.9× 963 1.2× 633 1.0× 713 1.3× 80 2.8k
Masaji Hashimoto Japan 26 953 0.8× 1.1k 1.4× 1.3k 1.7× 890 1.4× 556 1.0× 208 3.1k
Shinichi Ohkawa Japan 24 1.2k 1.0× 631 0.7× 756 1.0× 648 1.0× 339 0.6× 96 2.3k
Atsuyuki Maeda Japan 26 974 0.8× 1.1k 1.3× 787 1.0× 621 1.0× 284 0.5× 164 2.3k
Yukiyasu Okamura Japan 28 2.3k 1.9× 1.7k 2.0× 633 0.8× 1.2k 1.9× 623 1.1× 213 3.6k
Angela Dalia Ricci Italy 31 1.7k 1.4× 1.1k 1.4× 463 0.6× 1.1k 1.7× 679 1.2× 97 3.0k
Yuji Kaneoka Japan 29 1.6k 1.3× 1.5k 1.7× 1.1k 1.4× 934 1.5× 482 0.9× 167 3.3k
Xiaoping Chen China 29 564 0.5× 741 0.9× 1.2k 1.5× 327 0.5× 512 0.9× 111 2.2k

Countries citing papers authored by Daisuke Ban

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ban

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Ban. A scholar is included among the top collaborators of Daisuke Ban 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 Daisuke Ban. Daisuke Ban 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.
Taniai, Tomohiko, Shu Shimada, Koichiro Haruki, et al.. (2025). Integrative transcriptome profiling elucidates molecular and immunovascular characteristics of macrotrabecular HCC. Hepatology. 83(2). 231–248. 2 indexed citations
2.
Takamoto, Takeshi, Satoshi Nara, Daisuke Ban, et al.. (2025). Impact of primary tumor clinicopathological factors on prognosis after hepatic resection for rectal liver metastases. Annals of Gastroenterological Surgery. 9(4). 814–821.
3.
4.
Takamoto, Takeshi, et al.. (2024). Chronological evolution in liver resection for hepatocellular carcinoma: Prognostic trends across three decades in early to advanced stages. European Journal of Surgical Oncology. 51(2). 109461–109461. 2 indexed citations
7.
Esaki, Minoru, Shunsuke Sugawara, Nobuyoshi Hiraoka, et al.. (2022). ASO Visual Abstract: Prognostic Impact of Radiological Splenic Artery Involvement in Pancreatic Ductal Adenocarcinoma of the Body and Tail. Annals of Surgical Oncology. 29(11). 7061–7062. 1 indexed citations
8.
Nakata, Kohei, Ryota Higuchi, Naoki Ikenaga, et al.. (2021). Precision anatomy for safe approach to pancreatoduodenectomy for both open and minimally invasive procedure: A systematic review. Journal of Hepato-Biliary-Pancreatic Sciences. 29(1). 99–113. 18 indexed citations
9.
Matsui, Satoshi�, Toshiro Ogura, Daisuke Ban, et al.. (2019). Position of the Pancreas Division Line and Postoperative Outcomes After Distal Pancreatectomy. World Journal of Surgery. 44(4). 1244–1251. 3 indexed citations
10.
Mizuno, Yuki, Shu Shimada, Yoshimitsu Akiyama, et al.. (2018). DEPDC5 deficiency contributes to resistance to leucine starvation via p62 accumulation in hepatocellular carcinoma. Scientific Reports. 8(1). 106–106. 18 indexed citations
11.
Akahoshi, Keiichi, Hiroaki Ono, Daisuke Ban, et al.. (2018). Rapid growth speed of cysts can predict malignant intraductal mucinous papillary neoplasms. Journal of Surgical Research. 231. 195–200. 19 indexed citations
12.
Watanabe, Shuichi, Shu Shimada, Yoshimitsu Akiyama, et al.. (2018). Loss of KDM6A characterizes a poor prognostic subtype of human pancreatic cancer and potentiates HDAC inhibitor lethality. International Journal of Cancer. 145(1). 192–205. 48 indexed citations
13.
Shimada, Shu, Yoshimitsu Akiyama, Kaoru Mogushi, et al.. (2017). Acquired Resistance with Epigenetic Alterations Under Long-Term Antiangiogenic Therapy for Hepatocellular Carcinoma. Molecular Cancer Therapeutics. 16(6). 1155–1165. 34 indexed citations
15.
Tanaka, Shinji, Shu Shimada, Yoshimitsu Akiyama, et al.. (2016). Proteasome activity is required for the initiation of precancerous pancreatic lesions. Scientific Reports. 6(1). 27044–27044. 6 indexed citations
16.
Katsuta, Eriko, Shinji Tanaka, Kaoru Mogushi, et al.. (2014). Age-related clinicopathologic and molecular features of patients receiving curative hepatectomy for hepatocellular carcinoma. The American Journal of Surgery. 208(3). 450–456. 20 indexed citations
17.
Miura, Tomoya, Daisuke Ban, Takatoshi Koyama, et al.. (2013). Severe postoperative hemorrhage caused by antibody-mediated coagulation factor deficiencies: report of two cases. Surgery Today. 44(5). 976–981. 6 indexed citations
18.
Kudo, Atsushi, Kaoru Mogushi, Tadatoshi Takayama, et al.. (2013). Mitochondrial metabolism in the noncancerous liver determine the occurrence of hepatocellular carcinoma: a prospective study. Journal of Gastroenterology. 49(3). 502–510. 18 indexed citations
19.
Ban, Daisuke, et al.. (2012). Treatment using covered metallic stents for hemorrhage after pancreaticoduodenectomy with arterial reconstruction^|^mdash;report of a case^|^mdash;. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 73(9). 2357–2362. 1 indexed citations
20.
Tanaka, Shinji, Arihiro Aihara, Daisuke Ban, et al.. (2012). Identification of Pancreatic Cancer Stem Cells and Selective Toxicity of Chemotherapeutic Agents. Gastroenterology. 143(1). 234–245.e7. 102 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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