S. Shavit

1.7k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

S. Shavit is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, S. Shavit has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in S. Shavit's work include Gene Regulatory Network Analysis (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Photoreceptor and optogenetics research (2 papers). S. Shavit is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Photoreceptor and optogenetics research (2 papers). S. Shavit collaborates with scholars based in Israel, United States and Netherlands. S. Shavit's co-authors include Uri Alon, Alon Zaslaver, Anat Bren, Shalev Itzkovitz, Wolfram Liebermeister, Michael G. Surette, Michal Ronen, Anton Sheinin, Morris Benveniste and Avi Mayo and has published in prestigious journals such as Neurology, Nature Methods and Nature Protocols.

In The Last Decade

S. Shavit

18 papers receiving 1.2k citations

Hit Papers

A comprehensive library of fluorescent transcriptional re... 2006 2026 2012 2019 2006 100 200 300 400 500
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. A comprehensive library of fluorescent transcriptional reporters for Escherichia coli
    2006 584 citations Alon Zaslaver, Anat Bren et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Shavit Israel 9 813 438 105 99 73 19 1.2k
Pratap Venepally United States 17 880 1.1× 209 0.5× 68 0.6× 55 0.6× 36 0.5× 32 1.2k
Lewis Evans United Kingdom 14 587 0.7× 228 0.5× 159 1.5× 80 0.8× 97 1.3× 17 1.1k
Karen A. Lewis United States 15 689 0.8× 234 0.5× 111 1.1× 98 1.0× 38 0.5× 29 1.1k
Lina Moitoso de Vargas United States 23 1.4k 1.8× 772 1.8× 115 1.1× 401 4.1× 62 0.8× 27 2.1k
Gennifer E. Merrihew United States 23 1.7k 2.0× 138 0.3× 135 1.3× 64 0.6× 28 0.4× 41 2.3k
Mitsuyoshi Yamazoe Japan 28 1.8k 2.2× 860 2.0× 159 1.5× 227 2.3× 45 0.6× 38 2.2k
Jens Tyedmers Germany 18 1.7k 2.1× 191 0.4× 159 1.5× 55 0.6× 24 0.3× 28 2.2k
Susanne Ressl United States 11 425 0.5× 119 0.3× 115 1.1× 29 0.3× 32 0.4× 16 681

Countries citing papers authored by S. Shavit

Since Specialization
Citations

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

Fields of papers citing papers by S. Shavit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Shavit

This figure shows the co-authorship network connecting the top 25 collaborators of S. Shavit. A scholar is included among the top collaborators of S. Shavit 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 S. Shavit. S. Shavit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bracha, Moshe, S. Shavit, Roy Avraham, et al.. (2025). Mouse B cells engineered to express an anti-HPV antibody elicit anti-tumor T cell responses.. PubMed. 16. 1613879–1613879.
2.
Elkon, Ran, S. Shavit, Yaniv Lerenthal, et al.. (2011). Transcriptional modulation induced by ionizing radiation: p53 remains a central player. Molecular Oncology. 5(4). 336–348. 78 indexed citations
3.
Ulitsky, Igor, Adi Maron‐Katz, S. Shavit, et al.. (2010). Expander: from expression microarrays to networks and functions. Nature Protocols. 5(2). 303–322. 150 indexed citations
4.
Zaslaver, Alon, Anat Bren, Michal Ronen, et al.. (2006). A comprehensive library of fluorescent transcriptional reporters for Escherichia coli. Nature Methods. 3(8). 623–628. 584 indexed citations breakdown →
5.
Mayo, Avi, et al.. (2006). Plasticity of the cis-Regulatory Input Function of a Gene. PLoS Biology. 4(4). e45–e45. 155 indexed citations
6.
Chapman, Joab, et al.. (2005). Antiphospholipid Antibodies Bind ATP: A putative Mechanism for the Pathogenesis of Neuronal Dysfunction. Journal of Immunology Research. 12(3). 175–180. 9 indexed citations
7.
Sheinin, Anton, S. Shavit, & Morris Benveniste. (2001). Subunit specificity and mechanism of action of NMDA partial agonist d-cycloserine. Neuropharmacology. 41(2). 151–158. 109 indexed citations
8.
Nussbaum, Ofer, Ehud Ilan, Ayelet Zauberman, et al.. (2001). Evaluation of human monoclonal antibodies to HCV in the HCV-trimera model: a mouse model for HCV infection. Journal of Hepatology. 34. 26–26. 2 indexed citations
9.
Aronovich, Boris D., et al.. (2001). Antibodies to brain antigens following stroke. Neurology. 56(4). 529–530. 81 indexed citations
10.
Калашникова, Л А, Amos D. Korczyn, S. Shavit, et al.. (1999). Antibodies to prothrombin in patients with Sneddon’s syndrome. Neurology. 53(1). 223–223. 19 indexed citations
11.
Chapman, Ian, et al.. (1998). [Sneddon syndrome new clinical and immunological data].. PubMed. 76(6). 34–8. 1 indexed citations
12.
Drory, Vivian E., Asia Shapira, Amos D. Korczyn, et al.. (1998). Antineurofilament antibodies in postpolio syndrome. Neurology. 51(4). 1193–1195. 3 indexed citations
13.
Levy, Yair, I Kremer, S. Shavit, & Amos D. Korczyn. (1991). The pupillary effects of retrobulbar injection of botulinum toxin A (oculinum) in albino rats.. PubMed. 32(1). 122–5. 19 indexed citations
14.
Oppenheimer, Edna, et al.. (1990). Sympathomimetic amines and cardiac arrhythmias. Cardiovascular Research. 24(9). 754–757. 4 indexed citations
15.
Shavit, S., et al.. (1989). Nicotine mydriasis. Drug and Alcohol Dependence. 23(2). 133–136. 2 indexed citations
16.
Shavit, S. & Amos D. Korczyn. (1981). AGONIST INTERACTION AND DECENTRALIZATION SUPERSENSITIVITY IN THE NICTITATING MEMBRANE OF THE CAT. Clinical and Experimental Pharmacology and Physiology. 8(1). 11–16. 1 indexed citations
17.
Shavit, S., Ilan Kutz, Amos D. Korczyn, & S. Gitter. (1980). Interactions between chlorpromazine and some of its metabolites.. PubMed. 4(6). 495–500. 2 indexed citations
18.
Korczyn, Amos D., et al.. (1980). The chick as a model for malignant hyperpyrexia. European Journal of Pharmacology. 61(2). 187–189. 5 indexed citations
19.
Korczyn, Amos D. & S. Shavit. (1976). Prolongation of responses in decentralization supersensitivity.. PubMed. 15(2). 405–7. 2 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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