Anirban Maitra

106.2k total citations · 22 hit papers
564 papers, 51.1k citations indexed

About

Anirban Maitra is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Anirban Maitra has authored 564 papers receiving a total of 51.1k indexed citations (citations by other indexed papers that have themselves been cited), including 366 papers in Oncology, 252 papers in Molecular Biology and 167 papers in Cancer Research. Recurrent topics in Anirban Maitra's work include Pancreatic and Hepatic Oncology Research (306 papers), Cancer Genomics and Diagnostics (117 papers) and Epigenetics and DNA Methylation (69 papers). Anirban Maitra is often cited by papers focused on Pancreatic and Hepatic Oncology Research (306 papers), Cancer Genomics and Diagnostics (117 papers) and Epigenetics and DNA Methylation (69 papers). Anirban Maitra collaborates with scholars based in United States, Netherlands and Germany. Anirban Maitra's co-authors include Ralph H. Hruban, Michael Goggins, Georg Feldmann, Christine A. Iacobuzio–Donahue, Steven D. Leach, Duojia Pan, Charles J. Yeo, Robert A. Anders, Richard D. Schulick and Raheela Ashfaq and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Anirban Maitra

551 papers receiving 50.4k citations

Hit Papers

Elucidation of a Universa... 2003 2026 2010 2018 2007 2003 2007 2012 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anirban Maitra United States 115 26.6k 25.8k 14.4k 8.6k 5.5k 564 51.1k
Carlos Cordon‐Cardo United States 129 41.4k 1.6× 22.8k 0.9× 12.8k 0.9× 7.7k 0.9× 2.8k 0.5× 564 68.1k
James L. Abbruzzese United States 112 16.1k 0.6× 25.9k 1.0× 10.5k 0.7× 7.9k 0.9× 6.5k 1.2× 513 43.3k
Daniel D. Von Hoff United States 91 19.7k 0.7× 23.6k 0.9× 8.3k 0.6× 4.1k 0.5× 4.1k 0.7× 821 44.9k
David P. Lane United Kingdom 124 37.4k 1.4× 32.2k 1.3× 8.7k 0.6× 3.5k 0.4× 3.5k 0.6× 620 57.7k
David A. Tuveson United States 83 19.6k 0.7× 21.2k 0.8× 9.4k 0.7× 4.9k 0.6× 2.3k 0.4× 200 41.1k
Masaki Mori Japan 93 21.3k 0.8× 12.0k 0.5× 12.4k 0.9× 9.8k 1.1× 2.7k 0.5× 1.3k 43.4k
Victor E. Velculescu United States 83 34.5k 1.3× 20.4k 0.8× 17.0k 1.2× 2.8k 0.3× 2.8k 0.5× 184 54.3k
Mien‐Chie Hung United States 138 43.4k 1.6× 28.0k 1.1× 13.8k 1.0× 2.7k 0.3× 2.8k 0.5× 745 67.2k
Lisa M. Coussens United States 81 23.6k 0.9× 27.4k 1.1× 12.5k 0.9× 4.6k 0.5× 2.9k 0.5× 198 61.3k
Nabeel Bardeesy United States 84 19.1k 0.7× 12.0k 0.5× 7.4k 0.5× 5.1k 0.6× 3.6k 0.7× 182 30.8k

Countries citing papers authored by Anirban Maitra

Since Specialization
Citations

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

Fields of papers citing papers by Anirban Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirban Maitra

This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Maitra. A scholar is included among the top collaborators of Anirban Maitra 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 Anirban Maitra. Anirban Maitra 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.
Fahrmann, Johannes F., Michele Yip-Schneider, Jennifer B. Dennison, et al.. (2025). Lead time trajectory of blood-based protein biomarkers for detection of pancreatic cancer based on repeat testing. Cancer Letters. 612. 217450–217450. 4 indexed citations
3.
Aguirre, Andrew J., Ben Z. Stanger, & Anirban Maitra. (2024). Hope on the Horizon: A Revolution in KRAS Inhibition Is Creating a New Treatment Paradigm for Patients with Pancreatic Cancer. Cancer Research. 84(18). 2950–2953. 2 indexed citations
5.
Dittmar, Rachel L., Suyu Liu, Mei-Chee Tai, et al.. (2021). Plasma miRNA Biomarkers in Limited Volume Samples for Detection of Early-stage Pancreatic Cancer. Cancer Prevention Research. 14(7). 729–740. 27 indexed citations
6.
Song, Xianzhou, Ji‐Hyun Shin, Fenglin Zang, et al.. (2020). Hematopoietic progenitor kinase 1 down-regulates the oncogenic receptor tyrosine kinase AXL in pancreatic cancer. Journal of Biological Chemistry. 295(8). 2348–2358. 15 indexed citations
7.
Vence, Luis M., Samantha Bucktrout, Irina Fernandez Curbelo, et al.. (2019). Characterization and Comparison of GITR Expression in Solid Tumors. Clinical Cancer Research. 25(21). 6501–6510. 38 indexed citations
8.
Staal, Ben, Ying Liu, Zonglin He, et al.. (2019). The sTRA Plasma Biomarker: Blinded Validation of Improved Accuracy Over CA19-9 in Pancreatic Cancer Diagnosis. Clinical Cancer Research. 25(9). 2745–2754. 34 indexed citations
9.
Liu, Qingqing, John Stewart, Hua Wang, et al.. (2017). Reduced expression of argininosuccinate synthetase 1 has a negative prognostic impact in patients with pancreatic ductal adenocarcinoma. PLoS ONE. 12(2). e0171985–e0171985. 22 indexed citations
10.
Ludwig, Kathleen, Wenting Du, Noah Sorrelle, et al.. (2017). Small-Molecule Inhibition of Axl Targets Tumor Immune Suppression and Enhances Chemotherapy in Pancreatic Cancer. Cancer Research. 78(1). 246–255. 119 indexed citations
11.
Winnard, Paul T., Santosh Kumar Bharti, Marie‐France Penet, et al.. (2016). Detection of Pancreatic Cancer–Induced Cachexia Using a Fluorescent Myoblast Reporter System and Analysis of Metabolite Abundance. Cancer Research. 76(6). 1441–1450. 10 indexed citations
12.
Hendley, Audrey M., Yue J. Wang, Kishore Polireddy, et al.. (2016). p120 Catenin Suppresses Basal Epithelial Cell Extrusion in Invasive Pancreatic Neoplasia. Cancer Research. 76(11). 3351–3363. 29 indexed citations
13.
Rajeshkumar, N.V., Prasanta Dutta, Shinichi Yabuuchi, et al.. (2015). Therapeutic Targeting of the Warburg Effect in Pancreatic Cancer Relies on an Absence of p53 Function. Cancer Research. 75(16). 3355–3364. 119 indexed citations
14.
Gupta, Sonal, Dipankar Pramanik, Nathaniel R. Campbell, et al.. (2011). Molecular Determinants of Retinoic Acid Sensitivity in Pancreatic Cancer. Clinical Cancer Research. 18(1). 280–289. 52 indexed citations
15.
Wu, Jian, Hanno Matthaei, Anirban Maitra, et al.. (2011). Recurrent GNAS Mutations Define an Unexpected Pathway for Pancreatic Cyst Development. Science Translational Medicine. 3(92). 92ra66–92ra66. 562 indexed citations breakdown →
16.
Liby, Karen T., Darlene B. Royce, Renee Risingsong, et al.. (2010). Synthetic Triterpenoids Prolong Survival in a Transgenic Mouse Model of Pancreatic Cancer. Cancer Prevention Research. 3(11). 1427–1434. 78 indexed citations
17.
Mullendore, Michael E., Yue‐Ming Li, G. J. A. Offerhaus, et al.. (2009). Ligand-dependent Notch Signaling Is Involved in Tumor Initiation and Tumor Maintenance in Pancreatic Cancer. Clinical Cancer Research. 15(7). 2291–2301. 150 indexed citations
18.
Feldmann, Georg, Surajit Dhara, Volker Fendrich, et al.. (2007). Blockade of Hedgehog Signaling Inhibits Pancreatic Cancer Invasion and Metastases: A New Paradigm for Combination Therapy in Solid Cancers. Cancer Research. 67(5). 2187–2196. 537 indexed citations breakdown →
19.
Calhoun, Eric S., Tomáš Hucl, Eike Gallmeier, et al.. (2006). Identifying Allelic Loss and Homozygous Deletions in Pancreatic Cancer without Matched Normals Using High-Density Single-Nucleotide Polymorphism Arrays. Cancer Research. 66(16). 7920–7928. 66 indexed citations
20.
Zhang, Hui, Olca Baştürk, Marini Othman, et al.. (2005). Neuropathology. Modern Pathology. 18. 291–296.

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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