Cosimo Commisso

4.4k total citations · 2 hit papers
31 papers, 3.0k citations indexed

About

Cosimo Commisso is a scholar working on Cell Biology, Molecular Biology and Cancer Research. According to data from OpenAlex, Cosimo Commisso has authored 31 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cell Biology, 16 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Cosimo Commisso's work include Cancer, Hypoxia, and Metabolism (11 papers), Caveolin-1 and cellular processes (9 papers) and Cellular transport and secretion (7 papers). Cosimo Commisso is often cited by papers focused on Cancer, Hypoxia, and Metabolism (11 papers), Caveolin-1 and cellular processes (9 papers) and Cellular transport and secretion (7 papers). Cosimo Commisso collaborates with scholars based in United States, Canada and Switzerland. Cosimo Commisso's co-authors include Dafna Bar‐Sagi, Elda Grabocka, Sean R. Hackett, Michel Nofal, Jeffrey A. Drebin, Matthew G. Vander Heiden, Jurre J. Kamphorst, Joshua D. Rabinowitz, Craig B. Thompson and M. Victoria Recouvreux and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Cosimo Commisso

27 papers receiving 3.0k citations

Hit Papers

Macropinocytosis of protein is an amino acid supply route... 2013 2026 2017 2021 2013 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cosimo Commisso United States 16 1.9k 1.1k 765 680 288 31 3.0k
Elda Grabocka United States 13 2.6k 1.4× 1.2k 1.0× 1.1k 1.4× 621 0.9× 303 1.1× 20 3.8k
Sean R. Hackett United States 10 1.6k 0.8× 849 0.8× 537 0.7× 381 0.6× 213 0.7× 13 2.4k
Darren N. Saunders Australia 32 2.1k 1.1× 825 0.7× 715 0.9× 350 0.5× 236 0.8× 69 3.3k
Michel Nofal United States 6 1.3k 0.7× 877 0.8× 549 0.7× 369 0.5× 186 0.6× 7 2.1k
Sara Zanivan United Kingdom 27 2.7k 1.4× 678 0.6× 703 0.9× 940 1.4× 385 1.3× 83 4.1k
Volker Ehemann Germany 33 2.3k 1.2× 798 0.7× 889 1.2× 452 0.7× 483 1.7× 96 3.5k
Letizia Lanzetti Italy 26 2.2k 1.1× 443 0.4× 658 0.9× 1.4k 2.1× 362 1.3× 39 3.6k
Alexander H. Stegh United States 29 3.3k 1.7× 1.4k 1.2× 957 1.3× 427 0.6× 496 1.7× 42 5.0k
Ilya G. Serebriiskii United States 33 2.5k 1.3× 488 0.4× 1.0k 1.3× 730 1.1× 191 0.7× 97 3.8k
Kristiina Iljin Finland 30 2.1k 1.1× 763 0.7× 767 1.0× 341 0.5× 197 0.7× 56 3.1k

Countries citing papers authored by Cosimo Commisso

Since Specialization
Citations

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

Fields of papers citing papers by Cosimo Commisso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cosimo Commisso

This figure shows the co-authorship network connecting the top 25 collaborators of Cosimo Commisso. A scholar is included among the top collaborators of Cosimo Commisso 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 Cosimo Commisso. Cosimo Commisso 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.
Gupta, Priyanka, Rabi Murad, Yijuan Zhang, et al.. (2025). The Aging Microenvironment Is a Determinant of Immune Exclusion and Metastatic Fate in Pancreatic Cancer. Cancer Research. 86(4). 909–924.
2.
Zhang, Yijuan, Ling Li, Rabi Murad, et al.. (2025). Macropinocytosis maintains CAF subtype identity under metabolic stress in pancreatic cancer. Cancer Cell. 43(9). 1677–1696.e15. 1 indexed citations
3.
Duong‐Polk, Karen, Pedro Aza‐Blanc, Anagha Deshpande, et al.. (2024). Cell polarity proteins promote macropinocytosis in response to metabolic stress. Nature Communications. 15(1). 10541–10541. 4 indexed citations
4.
Commisso, Cosimo, et al.. (2024). A hormetic response model for glutamine stress in cancer. Trends in cancer. 11(3). 196–203.
5.
Recouvreux, M. Victoria, Yijuan Zhang, Karen Duong‐Polk, et al.. (2023). Glutamine mimicry suppresses tumor progression through asparagine metabolism in pancreatic ductal adenocarcinoma. Nature Cancer. 5(1). 100–113. 38 indexed citations
6.
Commisso, Cosimo, et al.. (2022). Macropinocytosis and Cancer: From Tumor Stress to Signaling Pathways. Sub-cellular biochemistry. 98. 15–40. 25 indexed citations
7.
Zhang, Yijuan, M. Victoria Recouvreux, Michael Jung, et al.. (2021). Macropinocytosis in Cancer-Associated Fibroblasts Is Dependent on CaMKK2/ARHGEF2 Signaling and Functions to Support Tumor and Stromal Cell Fitness. Cancer Discovery. 11(7). 1808–1825. 76 indexed citations
8.
Galenkamp, Koen M.O., Paulina Sosicka, Michael Jung, et al.. (2020). Golgi Acidification by NHE7 Regulates Cytosolic pH Homeostasis in Pancreatic Cancer Cells. Cancer Discovery. 10(6). 822–835. 39 indexed citations
9.
Commisso, Cosimo, et al.. (2020). Metabolic regulation of EGFR effector and feedback signaling in pancreatic cancer cells requires K-Ras. Biochemical and Biophysical Research Communications. 533(3). 424–428. 4 indexed citations
10.
Commisso, Cosimo, et al.. (2020). Rac1 and EGFR cooperate to activate Pak in response to nutrient stress. Biochemical and Biophysical Research Communications. 533(3). 437–441. 4 indexed citations
11.
Zhang, Yijuan, et al.. (2019). EGFR-Pak Signaling Selectively Regulates Glutamine Deprivation-Induced Macropinocytosis. Developmental Cell. 50(3). 381–392.e5. 121 indexed citations
12.
Recouvreux, M. Victoria & Cosimo Commisso. (2017). Macropinocytosis: A Metabolic Adaptation to Nutrient Stress in Cancer. Frontiers in Endocrinology. 8. 261–261. 154 indexed citations
13.
Kamphorst, Jurre J., Michel Nofal, Cosimo Commisso, et al.. (2015). Human Pancreatic Cancer Tumors Are Nutrient Poor and Tumor Cells Actively Scavenge Extracellular Protein. Cancer Research. 75(3). 544–553. 644 indexed citations breakdown →
14.
Fennell, Myles, et al.. (2015). High-Content, Full Genome siRNA Screen for Regulators of Oncogenic HRAS -Driven Macropinocytosis. Assay and Drug Development Technologies. 13(7). 347–355. 11 indexed citations
15.
Commisso, Cosimo, Shawn M. Davidson, Seth J. Parker, et al.. (2013). Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature. 497(7451). 633–637. 1250 indexed citations breakdown →
16.
Commisso, Cosimo & Gabrielle L. Boulianne. (2007). The Neuralized Homology Repeat 1 Domain of Drosophila Neuralized Mediates Nuclear Envelope Association and Delta-dependent Inhibition of Nuclear Import. Journal of Molecular Biology. 375(4). 1125–1140. 6 indexed citations
17.
Commisso, Cosimo, et al.. (2007). Neuralized Contains a Phosphoinositide-Binding Motif Required Downstream of Ubiquitination for Delta Endocytosis and Notch Signaling. Developmental Cell. 13(6). 783–795. 27 indexed citations
18.
Commisso, Cosimo & Gabrielle L. Boulianne. (2006). The NHR1 Domain of Neuralized Binds Delta and Mediates Delta Trafficking and Notch Signaling. Molecular Biology of the Cell. 18(1). 1–13. 35 indexed citations
20.
Yeh, Edward T.H., et al.. (2001). Neuralized functions as an E3 ubiquitin ligase during Drosophila development. Current Biology. 11(21). 1675–1679. 126 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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