Gokce Askan

1.7k total citations
25 papers, 717 citations indexed

About

Gokce Askan is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gokce Askan has authored 25 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 11 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gokce Askan's work include Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Gokce Askan is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Gokce Askan collaborates with scholars based in United States, Türkiye and Canada. Gokce Askan's co-authors include Olca Baştürk, David S. Klimstra, Jinru Shia, Eileen M. O’Reilly, İbrahim Halil Şahin, Maeve A. Lowery, Vitor Werneck Krauss Silva, Ghassan K. Abou‐Alfa, Volkan Adsay and Peter J. Allen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Gokce Askan

25 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gokce Askan United States 13 469 365 149 140 128 25 717
Rufu Chen China 10 250 0.5× 105 0.3× 199 1.3× 153 1.1× 88 0.7× 20 480
Robin Wachowiak Germany 15 292 0.6× 166 0.5× 231 1.6× 77 0.6× 135 1.1× 41 731
Nicole C. Harris Australia 11 426 0.9× 136 0.4× 369 2.5× 69 0.5× 54 0.4× 16 677
Nickole Russo United States 14 171 0.4× 65 0.2× 323 2.2× 108 0.8× 88 0.7× 16 574
Kiyoshi Shingū Japan 14 193 0.4× 141 0.4× 190 1.3× 99 0.7× 48 0.4× 34 572
Kishichiro Watanabe Japan 14 191 0.4× 388 1.1× 123 0.8× 34 0.2× 94 0.7× 35 844
Elvira La Mantia Italy 13 131 0.3× 57 0.2× 211 1.4× 133 0.9× 172 1.3× 29 527
Mareina Kudo Japan 10 135 0.3× 104 0.3× 94 0.6× 60 0.4× 37 0.3× 12 488
Liangrui Zhou China 16 208 0.4× 106 0.3× 132 0.9× 100 0.7× 96 0.8× 30 546
Daiki Mochizuki Japan 16 183 0.4× 78 0.2× 400 2.7× 147 1.1× 79 0.6× 42 629

Countries citing papers authored by Gokce Askan

Since Specialization
Citations

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

Fields of papers citing papers by Gokce Askan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gokce Askan

This figure shows the co-authorship network connecting the top 25 collaborators of Gokce Askan. A scholar is included among the top collaborators of Gokce Askan 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 Gokce Askan. Gokce Askan 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.
Tan, Lei, Xiaohua Duan, Ting Zhou, et al.. (2023). A targetable pathway to eliminate TRA-1-60+/TRA-1-81+ chemoresistant cancer cells. Journal of Molecular Cell Biology. 15(6). 2 indexed citations
2.
Askan, Gokce, et al.. (2023). Does Apoptotic Index Predict the Response to Neoadjuvant Chemotherapy in Patients with Breast Carcinoma?. SHILAP Revista de lepidopterología. 38(1). 1–7. 1 indexed citations
3.
Wang, Tao, Gokce Askan, Satshil Rana, et al.. (2023). Tumoral Intraductal Neoplasms of the Bile Ducts Comprise Morphologically and Genetically Distinct Entities. Archives of Pathology & Laboratory Medicine. 147(12). 1390–1401. 9 indexed citations
4.
5.
Monette, Sébastien, Adam O. Michel, Achiude Bendet, et al.. (2021). Transarterial Embolization of Liver Cancer in a Transgenic Pig Model. Journal of Vascular and Interventional Radiology. 32(4). 510–517.e3. 25 indexed citations
6.
Askan, Gokce & Olca Baştürk. (2021). Mesenchymal tumors involving the pancreas: a clinicopathologic analysis and review of the literature. Turkish Journal of Pathology. 38(1). 46–53. 6 indexed citations
7.
Polaski, Jacob T., Dylan B. Udy, Luisa F. Escobar‐Hoyos, et al.. (2021). The origins and consequences of UPF1 variants in pancreatic adenosquamous carcinoma. eLife. 10. 12 indexed citations
8.
Askan, Gokce, İbrahim Halil Şahin, Joanne F. Chou, et al.. (2021). Pancreatic cancer stem cells may define tumor stroma characteristics and recurrence patterns in pancreatic ductal adenocarcinoma. BMC Cancer. 21(1). 385–385. 20 indexed citations
9.
Askan, Gokce & Olca Baştürk. (2020). Expression of calretinin, marker of mesothelial differentiation, in pancreatic ductal adenocarcinoma: a potential diagnostic pitfall. Turkish Journal of Pathology. 37(2). 115–120. 3 indexed citations
10.
Zheng, Jian, Jonathan M. Hernandez, Alexandre Doussot, et al.. (2018). Extracellular matrix proteins and carcinoembryonic antigen-related cell adhesion molecules characterize pancreatic duct fluid exosomes in patients with pancreatic cancer. HPB. 20(7). 597–604. 54 indexed citations
11.
Fu, Ya–Yuan, Adrien Grimont, Kelly J. Lafaro, et al.. (2017). PanIN Neuroendocrine Cells Promote Tumorigenesis via Neuronal Cross-talk. Cancer Research. 77(8). 1868–1879. 72 indexed citations
12.
Wang, Lu, Olca Baştürk, Jiajing Wang, et al.. (2017). A FISH assay efficiently screens for BRAF gene rearrangements in pancreatic acinar-type neoplasms. Modern Pathology. 31(1). 132–140. 14 indexed citations
13.
Şahin, İbrahim Halil, et al.. (2017). Immunotherapy in pancreatic ductal adenocarcinoma: an emerging entity?. Annals of Oncology. 28(12). 2950–2961. 66 indexed citations
14.
Fu, Ya–Yuan, Adrien Grimont, Kelly J. Lafaro, et al.. (2017). PanIN Neuroendocrine Cells Promote Tumorigenesis via Neuronal Cross-talk. Cancer Research. 77(8). 1868–1879. 66 indexed citations
15.
Creasy, John M., Debra A. Goldman, Mithat Gönen, et al.. (2017). Predicting Residual Disease in Incidental Gallbladder Cancer: Risk Stratification for Modified Treatment Strategies. Journal of Gastrointestinal Surgery. 21(8). 1254–1261. 23 indexed citations
16.
Jordan, Emmet, Olca Baştürk, Steven D. Leach, et al.. (2016). Clinical and Molecular Analysis of Adenosquamous Carcinoma of the Pancreas. JOP, journal of the pancreas. 17(6). 1 indexed citations
17.
Askan, Gokce, Vikram Deshpande, David S. Klimstra, et al.. (2016). Expression of Markers of Hepatocellular Differentiation in Pancreatic Acinar Cell Neoplasms. American Journal of Clinical Pathology. 146(2). 163–169. 22 indexed citations
18.
Baştürk, Olca, Marcus Tan, Umesh Bhanot, et al.. (2016). The oncocytic subtype is genetically distinct from other pancreatic intraductal papillary mucinous neoplasm subtypes. Modern Pathology. 29(9). 1058–1069. 68 indexed citations
19.
Baştürk, Olca, Sun Chung, Ralph H. Hruban, et al.. (2016). Distinct pathways of pathogenesis of intraductal oncocytic papillary neoplasms and intraductal papillary mucinous neoplasms of the pancreas. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(5). 523–532. 56 indexed citations
20.
Silva, Vitor Werneck Krauss, Gokce Askan, Maeve A. Lowery, et al.. (2016). Biliary carcinomas: pathology and the role of DNA mismatch repair deficiency. Chinese Clinical Oncology. 5(5). 62–62. 125 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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