Volkan Adsay

42.6k total citations · 8 hit papers
339 papers, 24.9k citations indexed

About

Volkan Adsay is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Volkan Adsay has authored 339 papers receiving a total of 24.9k indexed citations (citations by other indexed papers that have themselves been cited), including 251 papers in Oncology, 199 papers in Surgery and 78 papers in Epidemiology. Recurrent topics in Volkan Adsay's work include Pancreatic and Hepatic Oncology Research (206 papers), Pancreatitis Pathology and Treatment (84 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (75 papers). Volkan Adsay is often cited by papers focused on Pancreatic and Hepatic Oncology Research (206 papers), Pancreatitis Pathology and Treatment (84 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (75 papers). Volkan Adsay collaborates with scholars based in United States, Türkiye and Japan. Volkan Adsay's co-authors include David S. Klimstra, Olca Baştürk, Ralph H. Hruban, Diane M. Simeone, David G. Heidt, Max S. Wicha, Chenwei Li, Michael F. Clarke, Lanjing Zhang and Charles Burant and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Volkan Adsay

325 papers receiving 24.4k citations

Hit Papers

Identification of Pancreatic Cancer Stem Cells 2001 2026 2009 2017 2007 2012 2005 2001 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volkan Adsay United States 74 19.3k 12.3k 5.7k 5.2k 4.4k 339 24.9k
Juan W. Valle United Kingdom 59 14.0k 0.7× 9.8k 0.8× 3.0k 0.5× 4.8k 0.9× 6.3k 1.4× 443 20.3k
Jinru Shia United States 77 12.6k 0.7× 6.8k 0.5× 2.4k 0.4× 2.5k 0.5× 3.9k 0.9× 371 19.0k
Carlos Fernández‐del Castillo United States 64 15.5k 0.8× 11.0k 0.9× 2.6k 0.5× 4.5k 0.9× 4.4k 1.0× 325 18.4k
Marc Ychou France 59 16.1k 0.8× 4.8k 0.4× 4.2k 0.7× 2.3k 0.4× 7.7k 1.7× 322 22.1k
Günter Klöppel Germany 92 19.7k 1.0× 13.1k 1.1× 5.9k 1.0× 13.1k 2.5× 2.8k 0.6× 457 30.6k
Yoshinao Oda Japan 64 8.7k 0.4× 4.4k 0.4× 6.3k 1.1× 1.9k 0.4× 7.7k 1.7× 948 20.4k
Michiie Sakamoto Japan 79 5.5k 0.3× 4.5k 0.4× 6.5k 1.1× 5.6k 1.1× 2.8k 0.6× 406 20.4k
Yoon‐Koo Kang South Korea 69 12.3k 0.6× 6.9k 0.6× 5.2k 0.9× 2.0k 0.4× 13.6k 3.1× 550 26.2k
Karen R. Cleary United States 61 9.4k 0.5× 4.8k 0.4× 4.9k 0.9× 2.0k 0.4× 3.3k 0.7× 149 15.8k
Pascal Hammel France 65 12.1k 0.6× 5.7k 0.5× 1.8k 0.3× 5.8k 1.1× 3.6k 0.8× 367 15.8k

Countries citing papers authored by Volkan Adsay

Since Specialization
Citations

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

Fields of papers citing papers by Volkan Adsay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volkan Adsay

This figure shows the co-authorship network connecting the top 25 collaborators of Volkan Adsay. A scholar is included among the top collaborators of Volkan Adsay 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 Volkan Adsay. Volkan Adsay 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.
Adsay, Volkan, Daniela Allende, Sarah M. Jenkins, et al.. (2025). Mucinous cystic neoplasm in men: a comparative study. Histopathology. 87(4). 548–556.
2.
Comandatore, Annalisa, Gregorio Di Franco, Ingrid Garajová, et al.. (2025). Long-term recurrence of PDAC after resection for IPMN: A narrative review of the literature on clinical and biologic predictors. Seminars in Cancer Biology. 114. 1–14.
3.
Taşkın, Orhun Çığ, Burcu Saka, Ahmet Rencüzoğulları, et al.. (2024). Performance of CT in the locoregional staging of colon cancer: detailed radiology-pathology correlation with special emphasis on tumor deposits, extramural venous invasion and T staging. Abdominal Radiology. 49(6). 1792–1804. 6 indexed citations
4.
Baştürk, Olca & Volkan Adsay. (2023). Early Cancerous Lesions of the Pancreas and Ampulla. Gastroenterology Clinics of North America. 53(1). 57–84. 1 indexed citations
5.
Mattiolo, Paola, Huamin Wang, Olca Baştürk, et al.. (2023). Comprehensive characterisation of acinar cystic transformation of the pancreas: a systematic review. Journal of Clinical Pathology. 76(11). 740–746. 4 indexed citations
6.
Wood, Laura D., Volkan Adsay, Olca Baştürk, et al.. (2023). Systematic review of challenging issues in pathology of intraductal papillary mucinous neoplasms. Pancreatology. 23(7). 878–891. 24 indexed citations
7.
Paolino, Gaetano, Iréne Esposito, Seung‐Mo Hong, et al.. (2022). Intraductal tubulopapillary neoplasm (ITPN) of the pancreas: a distinct entity among pancreatic tumors. Histopathology. 81(3). 297–309. 9 indexed citations
8.
Luchini, Claudio, Lodewijk A.A. Brosens, Laura D. Wood, et al.. (2020). Comprehensive characterisation of pancreatic ductal adenocarcinoma with microsatellite instability: histology, molecular pathology and clinical implications. Gut. 70(1). 148–156. 160 indexed citations
10.
Balcı, Serdar, et al.. (2019). Histologic Types of Ampullary Carcinoma: Frequency and Clinicopathologic Associations in 367 Cases. Laboratory Investigation. 99.
11.
Noë, Michaël, Antonio Pea, Claudio Luchini, et al.. (2018). Whole-exome sequencing of duodenal neuroendocrine tumors in patients with neurofibromatosis type 1. Modern Pathology. 31(10). 1532–1538. 15 indexed citations
12.
Kim, Haeryoung, Burcu Saka, Spencer Knight, et al.. (2014). Having Pancreatic Cancer with Tumoral Loss of ATM and Normal TP53 Protein Expression Is Associated with a Poorer Prognosis. Clinical Cancer Research. 20(7). 1865–1872. 70 indexed citations
13.
Hawk, Natalyn, Sungjin Kim, Zhengjia Chen, et al.. (2014). Clinicopathologic Features and Outcome of Young Adults With Stage IV Colorectal Cancer. American Journal of Clinical Oncology. 38(6). 543–549. 21 indexed citations
14.
Hanlon, Linda, Jacqueline L. Avila, Renée M. Demarest, et al.. (2010). Notch1 Functions as a Tumor Suppressor in a Model of K-ras–Induced Pancreatic Ductal Adenocarcinoma. Cancer Research. 70(11). 4280–4286. 127 indexed citations
15.
Kojima, Kyoko, Selwyn M. Vickers, Volkan Adsay, et al.. (2007). Inactivation of Smad4 Accelerates KrasG12D-Mediated Pancreatic Neoplasia. Cancer Research. 67(17). 8121–8130. 136 indexed citations
16.
Zhang, Pengfei, Joseph Bonventre, Susan C. Abraham, et al.. (2006). Liver & Pancreas. Laboratory Investigation. 86. 266–284. 1 indexed citations
17.
Niraj, Ashutosh, et al.. (2006). Localized gastric amyloidosis. 30(7). 73–79. 1 indexed citations
18.
Zhang, Hui, Olca Baştürk, Marini Othman, et al.. (2005). Neuropathology. Modern Pathology. 18. 291–296.
19.
Hruban, Ralph H., Kyoichi Takaori, David S. Klimstra, et al.. (2004). An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms. The American Journal of Surgical Pathology. 28(8). 977–987. 761 indexed citations breakdown →
20.
Hruban, Ralph H., Volkan Adsay, Jorge Albores‐Saavedra, et al.. (2001). Pancreatic Intraepithelial Neoplasia. The American Journal of Surgical Pathology. 25(5). 579–586. 842 indexed citations breakdown →

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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