Ziv Raviv

2.5k total citations · 1 hit paper
50 papers, 2.0k citations indexed

About

Ziv Raviv is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ziv Raviv has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 16 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Ziv Raviv's work include Microbial infections and disease research (14 papers), Cancer Cells and Metastasis (9 papers) and Immune cells in cancer (7 papers). Ziv Raviv is often cited by papers focused on Microbial infections and disease research (14 papers), Cancer Cells and Metastasis (9 papers) and Immune cells in cancer (7 papers). Ziv Raviv collaborates with scholars based in Israel, United States and Germany. Ziv Raviv's co-authors include Varda Shoshan‐Barmatz, Vito De Pinto, Markus Zweckstetter, Nurit Keinan, Nir Arbel, S. H. Kleven, Yuval Shaked, Michael Timaner, Rony Seger and Naola Ferguson‐Noel and has published in prestigious journals such as Blood, ACS Nano and PLoS ONE.

In The Last Decade

Ziv Raviv

47 papers receiving 1.9k citations

Hit Papers

VDAC, a multi-functional mitochondrial protein regulating... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. VDAC, a multi-functional mitochondrial protein regulating cell life and death
    2010 635 citations Varda Shoshan‐Barmatz, Ziv Raviv et al. profile →

Peers

Ziv Raviv
Oleg V. Kurnasov United States
Wenjing Sun China
Tracy Murray Stewart United States
José Luis France
M. Renko Slovenia
Chang‐Shi Chen Taiwan
Yuko Hirai Japan
Mark M. Zukowski United States
Hervé Benoist France
Savvas C. Makrides United States
Oleg V. Kurnasov United States
Ziv Raviv
Citations per year, relative to Ziv Raviv Ziv Raviv (= 1×) peers Oleg V. Kurnasov

Countries citing papers authored by Ziv Raviv

Since Specialization
Citations

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

Fields of papers citing papers by Ziv Raviv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziv Raviv

This figure shows the co-authorship network connecting the top 25 collaborators of Ziv Raviv. A scholar is included among the top collaborators of Ziv Raviv 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 Ziv Raviv. Ziv Raviv 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.
Benguigui, Madeleine, et al.. (2022). Bv8 Blockade Sensitizes Anti-PD1 Therapy Resistant Tumors. Frontiers in Immunology. 13. 903591–903591. 5 indexed citations
2.
Grand, Marion Le, Yuval Shaked, Ziv Raviv, et al.. (2021). Metronomic Chemotherapy Modulates Clonal Interactions to Prevent Drug Resistance in Non-Small Cell Lung Cancer. Cancers. 13(9). 2239–2239. 17 indexed citations
3.
Levi-Galibov, Oshrat, Mahesh Devarasetty, Michael Timaner, et al.. (2021). T Cells Promote Metastasis by Regulating Extracellular Matrix Remodeling following Chemotherapy. Cancer Research. 82(2). 278–291. 55 indexed citations
4.
Wachtel, Chaim, Tzipi Braun, Caroline Banet-Noach, et al.. (2019). Evaluating methods for Avian avulavirus-1 whole genome sequencing. Gene. 721. 100004–100004. 2 indexed citations
5.
Timaner, Michael, Madeleine Benguigui, Ofrat Beyar‐Katz, et al.. (2018). Therapy-Educated Mesenchymal Stem Cells Enrich for Tumor-Initiating Cells. Cancer Research. 78(5). 1253–1265. 83 indexed citations
6.
Alishekevitz, Dror, Svetlana Gingis‐Velitski, Orit Kaidar‐Person, et al.. (2016). Macrophage-Induced Lymphangiogenesis and Metastasis following Paclitaxel Chemotherapy Is Regulated by VEGFR3. Cell Reports. 17(5). 1344–1356. 91 indexed citations
7.
Hasnis, Erez, Dror Alishekevitz, Tali Voloshin, et al.. (2014). Anti-Bv8 Antibody and Metronomic Gemcitabine Improve Pancreatic Adenocarcinoma Treatment Outcome Following Weekly Gemcitabine Therapy. Neoplasia. 16(6). 501–510. 52 indexed citations
8.
Osborne, John D., et al.. (2014). Reduction of Hydrogen Peroxide Accumulation and Toxicity by a Catalase from Mycoplasma iowae. PLoS ONE. 9(8). e105188–e105188. 16 indexed citations
9.
Raviv, Ziv, et al.. (2013). VDAC1-based peptides: novel pro-apoptotic agents and potential therapeutics for B-cell chronic lymphocytic leukemia. Cell Death and Disease. 4(9). e809–e809. 63 indexed citations
10.
El‐Gazzar, Mohamed, Amy Wetzel, & Ziv Raviv. (2012). The Genotyping Potential of the Mycoplasma synoviae vlhA Gene. Avian Diseases. 56(4). 711–719. 25 indexed citations
11.
Raviv, Ziv, et al.. (2011). Methyl jasmonate down-regulates survivin expression and sensitizes colon carcinoma cells towards TRAIL-induced cytotoxicity. British Journal of Pharmacology. 164(5). 1433–1444. 26 indexed citations
12.
Boonyayatra, Sukolrat, Lawrence K. Fox, T.E. Besser, et al.. (2011). A PCR assay and PCR-restriction fragment length polymorphism combination identifying the 3 primary Mycoplasma species causing mastitis. Journal of Dairy Science. 95(1). 196–205. 23 indexed citations
13.
Raviv, Ziv, et al.. (2010). Downregulation of voltage-dependent anion channel-1 expression by RNA interference prevents cancer cell growth in vivo. Cancer Biology & Therapy. 9(12). 1046–1052. 54 indexed citations
14.
Wetzel, Amy, et al.. (2010). Revised Mycoplasma synoviae vlhA PCRs. Avian Diseases. 54(4). 1292–1297. 21 indexed citations
15.
Raviv, Ziv & S. H. Kleven. (2009). The Development of Diagnostic Real-Time Taqman PCRs for The Four Pathogenic Avian Mycoplasmas. Avian Diseases. 53(1). 103–107. 82 indexed citations
16.
Raviv, Ziv, Scott A. Callison, Naola Ferguson‐Noel, & S. H. Kleven. (2007). Strain differentiating real-time PCR for Mycoplasma gallisepticum live vaccine evaluation studies. Veterinary Microbiology. 129(1-2). 179–187. 31 indexed citations
17.
Raviv, Ziv, et al.. (2007). The Mycoplasma gallisepticum 16S–23S rRNA Intergenic Spacer Region Sequence as a Novel Tool for Epizootiological Studies. Avian Diseases. 51(2). 555–560. 44 indexed citations
18.
Raviv, Ziv, et al.. (2007). Role Of Mycoplasma Synoviae In Commercial Layer Escherichia Coli Peritonitis Syndrome. Avian Diseases. 51(3). 685–690. 25 indexed citations
19.
Kleven, S. H., et al.. (2007). Serological Responses of Chickens to Low Challenge Doses of Mycoplasma Synoviae. Avian Diseases. 51(3). 738–743. 4 indexed citations
20.
Yao, Zhong, et al.. (2001). Non-regulated and stimulated mechanisms cooperate in the nuclear accumulation of MEK1. Oncogene. 20(52). 7588–7596. 42 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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