Debashis Sarker

8.0k total citations
132 papers, 2.3k citations indexed

About

Debashis Sarker is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Debashis Sarker has authored 132 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Oncology, 38 papers in Molecular Biology and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Debashis Sarker's work include Pancreatic and Hepatic Oncology Research (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (20 papers) and PI3K/AKT/mTOR signaling in cancer (14 papers). Debashis Sarker is often cited by papers focused on Pancreatic and Hepatic Oncology Research (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (20 papers) and PI3K/AKT/mTOR signaling in cancer (14 papers). Debashis Sarker collaborates with scholars based in United Kingdom, United States and France. Debashis Sarker's co-authors include Johann S. de Bono, Timothy A. Yap, Alison Reid, Paul Workman, Paul J. Ross, D. Papadatos-Pastos, Roy Rabbie, Debra H. Josephs, Mark Bower and Udai Banerji and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Debashis Sarker

126 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debashis Sarker United Kingdom 25 1.1k 1.1k 505 448 342 132 2.3k
Zhongwu Li China 30 1.2k 1.1× 1.7k 1.6× 969 1.9× 683 1.5× 413 1.2× 177 3.4k
James Posey United States 26 723 0.7× 1.8k 1.6× 412 0.8× 321 0.7× 957 2.8× 66 2.7k
S. Gail Eckhardt United States 27 1.8k 1.7× 1.2k 1.2× 466 0.9× 620 1.4× 172 0.5× 54 2.9k
Yohei Masugi Japan 31 857 0.8× 1.1k 1.1× 677 1.3× 617 1.4× 614 1.8× 127 2.9k
Linda Janisch United States 23 1.7k 1.6× 2.1k 2.0× 738 1.5× 400 0.9× 159 0.5× 68 3.6k
Atsushi Kudo Japan 28 725 0.7× 1.0k 1.0× 414 0.8× 474 1.1× 653 1.9× 129 2.4k
David Chen United States 25 1.4k 1.3× 1.4k 1.3× 1.5k 2.9× 877 2.0× 310 0.9× 75 3.6k
Renuka Iyer United States 31 573 0.5× 1.5k 1.4× 753 1.5× 460 1.0× 501 1.5× 178 3.0k
Erika Cecchin Italy 27 1.2k 1.1× 1.5k 1.4× 406 0.8× 363 0.8× 133 0.4× 125 2.6k
Jun Gong United States 28 924 0.8× 2.1k 2.0× 843 1.7× 569 1.3× 301 0.9× 163 3.4k

Countries citing papers authored by Debashis Sarker

Since Specialization
Citations

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

Fields of papers citing papers by Debashis Sarker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashis Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Debashis Sarker. A scholar is included among the top collaborators of Debashis Sarker 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 Debashis Sarker. Debashis Sarker 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.
Sarker, Debashis, et al.. (2025). Prognosis of NETs has there been improvement over the last 30 years. Neuroendocrinology. 115(12). 1–17.
2.
Liu, Jia, Anna Minchom, Alastair Greystoke, et al.. (2025). Dendrimer-Nanoparticle (DEP) Delivery of Topoisomerase I Inhibitor, SN38 (DEP-SN38): Safety, Tolerability, and Preliminary Efficacy Study in Patients With Advanced Solid Tumors. Journal of Clinical Oncology. 43(26). 2918–2929. 1 indexed citations
5.
Liu, Jia, Anna Minchom, Alastair Greystoke, et al.. (2024). Dendrimer-enhanced (DEP) SN38 (DEP irinotecan) in patients (pts) with advanced solid tumors: A phase 1/2 trial.. Journal of Clinical Oncology. 42(16_suppl). 3014–3014. 1 indexed citations
6.
Leerdam, Monique E. van, Margot Tesselaar, Wendy Martin, et al.. (2024). The global leadership into malnutrition criteria reveals a high percentage of malnutrition which influences overall survival in patients with gastroenteropancreatic neuroendocrine tumours. Journal of Neuroendocrinology. 36(4). e13376–e13376. 7 indexed citations
7.
Munir, Alia, et al.. (2024). Neuroendocrine neoplasms: Consensus on a patient care pathway. Journal of Neuroendocrinology. 36(4). e13380–e13380.
8.
Cho, Byoung Chul, Grace K. Dy, Tae Min Kim, et al.. (2023). PP.42 Phase 1 Study of Fianlimab, a Human Lymphocyte Activation Gene-3 (LAG-3) Monoclonal Antibody, in Combination With Cemiplimab in Advanced NSCLC. Journal of Thoracic Oncology. 18(3). S25–S25. 1 indexed citations
9.
Kristeleit, Rebecca, Ruth Plummer, Robert H. Jones, et al.. (2023). A Phase 1/2 trial of SRA737 (a Chk1 inhibitor) administered orally in patients with advanced cancer. British Journal of Cancer. 129(1). 38–45. 22 indexed citations
10.
Jones, Robert H., Ruth Plummer, Víctor Moreno, et al.. (2022). A Phase I/II Trial of Oral SRA737 (a Chk1 Inhibitor) Given in Combination with Low-Dose Gemcitabine in Patients with Advanced Cancer. Clinical Cancer Research. 29(2). 331–340. 27 indexed citations
11.
Sarker, Debashis, Nancy A. Dawson, Ana M. Aparicio, et al.. (2021). A Phase I, Open-Label, Dose-Finding Study of GSK2636771, a PI3Kβ Inhibitor, Administered with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research. 27(19). 5248–5257. 22 indexed citations
12.
Burchell, Joy, et al.. (2021). Apoptosis in the Pancreatic Cancer Tumor Microenvironment—The Double-Edged Sword of Cancer-Associated Fibroblasts. Cells. 10(7). 1653–1653. 13 indexed citations
13.
14.
Hakeem, Abdul, M. Papoulas, Mark McPhail, et al.. (2021). Margin ACcentuation for resectable Pancreatic cancer using Irreversible Electroporation – Results from the MACPIE-I study. European Journal of Surgical Oncology. 47(10). 2571–2578. 4 indexed citations
16.
Sarker, Debashis, Teresa Macarulla, Thomas Yau, et al.. (2017). Phase 1 safety and clinical activity of BLU-554 in advanced hepatocellular carcinoma (HCC). Annals of Oncology. 28. v122–v122. 17 indexed citations
17.
Banerji, Udai, D. Ross Camidge, Henk M.W. Verheul, et al.. (2010). The First-in-Human Study of the Hydrogen Sulfate (Hyd-Sulfate) Capsule of the MEK1/2 Inhibitor AZD6244 (ARRY-142886): A Phase I Open-Label Multicenter Trial in Patients with Advanced Cancer. Clinical Cancer Research. 16(5). 1613–1623. 176 indexed citations
18.
Olmos, David, M. Puglisi, Leonardo Trani, et al.. (2010). An analysis of the risk of toxicity associated with participation in phase 1 oncology trials of novel molecularly targeted agents (mta) at the drug development unit, royal marsden hospital. Annals of Oncology. 21. 168–168. 5 indexed citations
19.
Sarker, Debashis, Paul A. Clarke, Florence I. Raynaud, et al.. (2008). Use of gene expression microarrays to identify novel pharmacodynamic biomarkers of phosphatidylinositide-3’-kinase (PI3K) inhibition. Cancer Research. 68. 3614–3614. 1 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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