Eran Bosis

945 total citations
26 papers, 588 citations indexed

About

Eran Bosis is a scholar working on Endocrinology, Genetics and Molecular Medicine. According to data from OpenAlex, Eran Bosis has authored 26 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, 8 papers in Genetics and 7 papers in Molecular Medicine. Recurrent topics in Eran Bosis's work include Vibrio bacteria research studies (15 papers), Escherichia coli research studies (8 papers) and Antibiotic Resistance in Bacteria (7 papers). Eran Bosis is often cited by papers focused on Vibrio bacteria research studies (15 papers), Escherichia coli research studies (8 papers) and Antibiotic Resistance in Bacteria (7 papers). Eran Bosis collaborates with scholars based in Israel, United States and France. Eran Bosis's co-authors include Dor Salomon, Biswanath Jana, Beka Solomon, Motti Gerlic, Guido Sessa, Marie‐Agnès Jacques, Esther Nachliel, Menachem Gutman, Perrine Portier and Matthieu Barret and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Eran Bosis

26 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eran Bosis Israel 15 278 170 165 97 82 26 588
Maximilian Fritsch United Kingdom 5 196 0.7× 183 1.1× 40 0.2× 90 0.9× 102 1.2× 5 398
Sara Planamente France 13 141 0.5× 358 2.1× 216 1.3× 44 0.5× 96 1.2× 15 567
Akwasi Anyanful United States 8 95 0.3× 256 1.5× 24 0.1× 22 0.2× 64 0.8× 8 426
Antonio Serna Spain 11 76 0.3× 276 1.6× 237 1.4× 10 0.1× 24 0.3× 12 616
Marta Oliva Italy 13 43 0.2× 300 1.8× 29 0.2× 101 1.0× 18 0.2× 26 459
Adriana K. Jones United States 10 73 0.3× 364 2.1× 39 0.2× 146 1.5× 166 2.0× 13 476
Bozena Zemaitaitis United States 8 53 0.2× 370 2.2× 19 0.1× 28 0.3× 113 1.4× 8 543
Clemens Wachter Switzerland 9 148 0.5× 506 3.0× 19 0.1× 22 0.2× 66 0.8× 11 671
Cheng‐Ju Kuo Taiwan 9 66 0.2× 197 1.2× 23 0.1× 10 0.1× 22 0.3× 14 369
Daniel Veltri United States 15 21 0.1× 699 4.1× 127 0.8× 17 0.2× 43 0.5× 23 934

Countries citing papers authored by Eran Bosis

Since Specialization
Citations

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

Fields of papers citing papers by Eran Bosis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eran Bosis

This figure shows the co-authorship network connecting the top 25 collaborators of Eran Bosis. A scholar is included among the top collaborators of Eran Bosis 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 Eran Bosis. Eran Bosis 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.
Kim, Youngchang, et al.. (2025). A conserved chaperone protein is required for the formation of a noncanonical type VI secretion system spike tip complex. Journal of Biological Chemistry. 301(3). 108242–108242. 6 indexed citations
2.
Albesa-Jové, D., et al.. (2025). A new class of type VI secretion system effectors can carry two toxic domains and are recognized through the WHIX motif for export. PLoS Biology. 23(3). e3003053–e3003053. 1 indexed citations
3.
Cohen, Hadar, Ram Podicheti, Douglas B. Rusch, et al.. (2024). The coral pathogen Vibrio coralliilyticus uses a T6SS to secrete a group of novel anti-eukaryotic effectors that contribute to virulence. PLoS Biology. 22(9). e3002734–e3002734. 7 indexed citations
4.
Goren, Moran G., et al.. (2024). Gamma-Mobile-Trio systems are mobile elements rich in bacterial defensive and offensive tools. Nature Microbiology. 9(12). 3268–3283. 9 indexed citations
5.
Bosis, Eran, et al.. (2024). PIX is an N-terminal delivery domain that defines a class of polymorphic T6SS effectors in Enterobacterales. Cell Reports. 43(4). 114015–114015. 4 indexed citations
6.
Bosis, Eran, et al.. (2023). Vibrio parahaemolyticus T6SS2 effector repertoires. Gut Microbes. 15(1). 2178795–2178795. 14 indexed citations
7.
Costa, Joana, Joël F. Pothier, Eran Bosis, et al.. (2023). A Community-Curated DokuWiki Resource on Diagnostics, Diversity, Pathogenicity, and Genetic Control of Xanthomonads. Molecular Plant-Microbe Interactions. 37(3). 347–353. 10 indexed citations
8.
Jana, Biswanath, et al.. (2022). Multiple T6SSs, Mobile Auxiliary Modules, and Effectors Revealed in a Systematic Analysis of the Vibrio parahaemolyticus Pan-Genome. mSystems. 7(6). e0072322–e0072322. 22 indexed citations
9.
Jana, Biswanath, et al.. (2022). A DNase Type VI Secretion System Effector Requires Its MIX Domain for Secretion. Microbiology Spectrum. 10(5). e0246522–e0246522. 14 indexed citations
10.
Catara, Vittoria, Jaime Cubero, Joël F. Pothier, et al.. (2021). Trends in Molecular Diagnosis and Diversity Studies for Phytosanitary Regulated Xanthomonas. Microorganisms. 9(4). 862–862. 26 indexed citations
11.
Jana, Biswanath, Dor Salomon, & Eran Bosis. (2020). A novel class of polymorphic toxins in Bacteroidetes. Life Science Alliance. 3(4). e201900631–e201900631. 9 indexed citations
12.
Gerlic, Motti, et al.. (2020). A comparative genomics methodology reveals a widespread family of membrane-disrupting T6SS effectors. Nature Communications. 11(1). 1085–1085. 59 indexed citations
13.
Jana, Biswanath, et al.. (2019). A modular effector with a DNase domain and a marker for T6SS substrates. Nature Communications. 10(1). 3595–3595. 83 indexed citations
14.
Teper, Doron, et al.. (2018). The Xanthomonas euvesicatoria type III effector XopAU is an active protein kinase that manipulates plant MAP kinase signaling. PLoS Pathogens. 14(1). e1006880–e1006880. 32 indexed citations
15.
Salomon, Dor, et al.. (2018). The Antibacterial and Anti-Eukaryotic Type VI Secretion System MIX-Effector Repertoire in Vibrionaceae. Marine Drugs. 16(11). 433–433. 30 indexed citations
16.
Salomon, Dor, Eran Bosis, Daniel Dar, Iftach Nachman, & Guido Sessa. (2012). Expression of Pseudomonas syringae type III effectors in yeast under stress conditions reveals that HopX1 attenuates activation of the high osmolarity glycerol MAP kinase pathway. Microbiology. 158(11). 2859–2869. 15 indexed citations
17.
Sengupta, Piali, Eran Bosis, Esther Nachliel, et al.. (2009). EGFR Juxtamembrane Domain, Membranes, and Calmodulin: Kinetics of Their Interaction. Biophysical Journal. 96(12). 4887–4895. 33 indexed citations
18.
19.
Mezer, Aviv, Uri Ashery, Menachem Gutman, et al.. (2006). Systematic search for the rate constants that control the exocytotic process from chromaffin cells by a Genetic Algorithm. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(4). 345–355. 8 indexed citations
20.
Bosis, Eran, et al.. (2006). Intravenous immunoglobulin enhances the clearance of fibrillar amyloid-β peptide. Journal of Neuroscience Research. 84(2). 434–443. 60 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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