Zvi Granot

7.7k total citations · 4 hit papers
58 papers, 5.5k citations indexed

About

Zvi Granot is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Zvi Granot has authored 58 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 28 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Zvi Granot's work include Immune cells in cancer (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers) and Immune Response and Inflammation (10 papers). Zvi Granot is often cited by papers focused on Immune cells in cancer (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (19 papers) and Immune Response and Inflammation (10 papers). Zvi Granot collaborates with scholars based in Israel, United States and Germany. Zvi Granot's co-authors include Ronit Vogt Sionov, Zvi G. Fridlender, Erik Henke, Inbal Mishalian, Robert Benezra, Jadwiga Jabłońska, Elizabeth Comen, Larry Norton, Tari A. King and Janna Michaeli and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zvi Granot

58 papers receiving 5.4k citations

Hit Papers

Phenotypic Diversity and ... 2011 2026 2016 2021 2015 2011 2020 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zvi Granot Israel 33 2.8k 1.9k 1.9k 654 533 58 5.5k
Dimitrios Mougiakakos Germany 41 3.0k 1.1× 2.6k 1.4× 2.6k 1.4× 532 0.8× 920 1.7× 144 7.0k
Marc Schmitz Germany 46 3.2k 1.2× 2.8k 1.5× 2.0k 1.1× 431 0.7× 440 0.8× 173 6.4k
Jennifer D. Wu United States 38 3.8k 1.3× 2.6k 1.4× 1.5k 0.8× 216 0.3× 596 1.1× 77 6.2k
Robert Sackstein United States 48 2.7k 1.0× 1.8k 0.9× 2.4k 1.3× 1.2k 1.9× 552 1.0× 150 7.5k
Louis M. Pelus United States 47 2.3k 0.8× 1.8k 1.0× 2.5k 1.3× 305 0.5× 523 1.0× 159 6.3k
Thomas Wirth Germany 44 2.1k 0.8× 1.6k 0.9× 2.5k 1.4× 841 1.3× 741 1.4× 178 6.3k
Yaron Carmi Israel 26 2.5k 0.9× 1.8k 0.9× 1.8k 1.0× 345 0.5× 510 1.0× 39 4.8k
Victor L. Thijssen Netherlands 40 2.4k 0.8× 1.2k 0.6× 2.7k 1.4× 312 0.5× 660 1.2× 95 5.0k
Rakesh K. Singh United States 39 2.0k 0.7× 2.8k 1.5× 2.2k 1.2× 381 0.6× 1.1k 2.1× 93 5.6k
Mikael C. I. Karlsson Sweden 39 3.4k 1.2× 1.1k 0.6× 1.9k 1.0× 207 0.3× 593 1.1× 104 5.4k

Countries citing papers authored by Zvi Granot

Since Specialization
Citations

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

Fields of papers citing papers by Zvi Granot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zvi Granot

This figure shows the co-authorship network connecting the top 25 collaborators of Zvi Granot. A scholar is included among the top collaborators of Zvi Granot 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 Zvi Granot. Zvi Granot 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.
Pylaeva, Ekaterina, Anthony Squire, Matthias Gunzer, et al.. (2025). Neutrophil-specific targeting of STAT3 impairs tumor progression via the expansion of cytotoxic CD8+ T cells. Signal Transduction and Targeted Therapy. 10(1). 279–279. 1 indexed citations
2.
Wang, Shengli, Mingyue Zhang, Tao Li, et al.. (2024). A comprehensively prognostic and immunological analysis of PARP11 in pan-cancer. Journal of Leukocyte Biology. 117(1). 2 indexed citations
3.
Roncato, Francesco, Maya Dadiani, Massimo Saini, et al.. (2022). ICAM-1 on Breast Cancer Cells Suppresses Lung Metastasis but Is Dispensable for Tumor Growth and Killing by Cytotoxic T Cells. Frontiers in Immunology. 13. 849701–849701. 15 indexed citations
4.
Sol, Asaf, Deborah Nejman, Amjad Shhadeh, et al.. (2020). Breast cancer colonization by Fusobacterium nucleatum accelerates tumor growth and metastatic progression. Nature Communications. 11(1). 3259–3259. 471 indexed citations breakdown →
5.
Granot, Zvi. (2019). Neutrophils as a Therapeutic Target in Cancer. Frontiers in Immunology. 10. 1710–1710. 85 indexed citations
6.
Hsu, Brian E., Sébastien Tabariès, Radia Marie Johnson, et al.. (2019). Immature Low-Density Neutrophils Exhibit Metabolic Flexibility that Facilitates Breast Cancer Liver Metastasis. Cell Reports. 27(13). 3902–3915.e6. 161 indexed citations
7.
Gershkovitz, Maya, Tanya Fainsod-Levi, Saleh Khawaled, et al.. (2018). Microenvironmental Cues Determine Tumor Cell Susceptibility to Neutrophil Cytotoxicity. Cancer Research. 78(17). 5050–5059. 30 indexed citations
8.
Gershkovitz, Maya, Yaki Caspi, Tanya Fainsod-Levi, et al.. (2018). TRPM2 Mediates Neutrophil Killing of Disseminated Tumor Cells. Cancer Research. 78(10). 2680–2690. 165 indexed citations
9.
Gershkovitz, Maya, et al.. (2018). TRPM2 modulates neutrophil attraction to murine tumor cells by regulating CXCL2 expression. Cancer Immunology Immunotherapy. 68(1). 33–43. 39 indexed citations
11.
Isaacson, Batya, Ariella Glasner, Chamutal Gur, et al.. (2017). Stromal Cell-Derived Factor 1 Mediates Immune Cell Attraction upon Urinary Tract Infection. Cell Reports. 20(1). 40–47. 28 indexed citations
12.
Granot, Zvi & Zvi G. Fridlender. (2015). Plasticity beyond Cancer Cells and the “Immunosuppressive Switch”. Cancer Research. 75(21). 4441–4445. 74 indexed citations
13.
Sionov, Ronit Vogt, Simaan Assi, Maya Gershkovitz, et al.. (2015). Isolation and Characterization of Neutrophils with Anti-Tumor Properties. Journal of Visualized Experiments. 11 indexed citations
14.
Granot, Zvi & Jadwiga Jabłońska. (2015). Distinct Functions of Neutrophil in Cancer and Its Regulation. Mediators of Inflammation. 2015(1). 701067–701067. 141 indexed citations
15.
Sionov, Ronit Vogt, Spiros Vlahopoulos, & Zvi Granot. (2015). Regulation of Bim in Health and Disease. Oncotarget. 6(27). 23058–23134. 157 indexed citations
16.
Henke, Erik, Freddy E. Escorcia, Martin Wartenberg, et al.. (2014). 266 Auxiliar treatment by targeting the extracellular matrix to improve drug delivery and therapeutic response. European Journal of Cancer. 50. 89–89. 1 indexed citations
17.
Gur, Chamutal, Shunit Coppenhagen‐Glazer, Rachel Yamin, et al.. (2013). Natural Killer Cell-Mediated Host Defense against Uropathogenic E. coli Is Counteracted by Bacterial HemolysinA-Dependent Killing of NK Cells. Cell Host & Microbe. 14(6). 664–674. 52 indexed citations
18.
Dadon, Daniela, Oren Ziv, Miri Stolovich-Rain, et al.. (2012). Glucose metabolism: key endogenous regulator of β‐cell replication and survival. Diabetes Obesity and Metabolism. 14(s3). 101–108. 32 indexed citations
19.
Granot, Zvi, Erik Henke, Elizabeth Comen, et al.. (2011). Tumor Entrained Neutrophils Inhibit Seeding in the Premetastatic Lung. Cancer Cell. 20(3). 300–314. 601 indexed citations breakdown →
20.
Salpeter, Seth J., Agnes Klochendler, Noa Weinberg-Corem, et al.. (2011). Glucose Regulates Cyclin D2 Expression in Quiescent and Replicating Pancreatic β-Cells Through Glycolysis and Calcium Channels. Endocrinology. 152(7). 2589–2598. 55 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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