Dor Salomon

2.6k total citations
61 papers, 1.8k citations indexed

About

Dor Salomon is a scholar working on Endocrinology, Genetics and Molecular Biology. According to data from OpenAlex, Dor Salomon has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Endocrinology, 15 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Dor Salomon's work include Vibrio bacteria research studies (39 papers), Escherichia coli research studies (16 papers) and Antibiotic Resistance in Bacteria (14 papers). Dor Salomon is often cited by papers focused on Vibrio bacteria research studies (39 papers), Escherichia coli research studies (16 papers) and Antibiotic Resistance in Bacteria (14 papers). Dor Salomon collaborates with scholars based in Israel, United States and Canada. Dor Salomon's co-authors include Kim Orth, Eran Bosis, Guido Sessa, Biswanath Jana, Nick V. Grishin, Lisa N. Kinch, Barrett L. Updegraff, David C. Trudgian, Hamid Mirzaei and Sukumaran Sunitha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Dor Salomon

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dor Salomon Israel	23	1.1k	560	484	422	293	61	1.8k
Karla Jean Fullner United States	13	829 0.7×	731 1.3×	446 0.9×	321 0.8×	158 0.5×	14	1.5k
William P. Robins United States	13	637 0.6×	725 1.3×	356 0.7×	114 0.3×	232 0.8×	20	1.7k
Miguel Regué Spain	25	476 0.4×	791 1.4×	322 0.7×	172 0.4×	370 1.3×	59	1.6k
Daniel Unterweger Germany	17	1.0k 0.9×	335 0.6×	242 0.5×	74 0.2×	489 1.7×	25	1.3k
Yannick R. Brunet France	18	1.2k 1.1×	502 0.9×	114 0.2×	145 0.3×	503 1.7×	19	1.6k
Ombeline Rossier United States	21	727 0.7×	587 1.0×	290 0.6×	825 2.0×	81 0.3×	26	1.8k
Julie M. Silverman United States	7	1.1k 1.0×	529 0.9×	111 0.2×	168 0.4×	499 1.7×	7	1.4k
Kurt Schesser United States	20	617 0.6×	553 1.0×	232 0.5×	181 0.4×	67 0.2×	33	1.6k
Katsushi Yokoyama Japan	13	1.1k 1.0×	621 1.1×	630 1.3×	83 0.2×	105 0.4×	28	1.6k
Kevin G. Hicks United States	7	686 0.6×	410 0.7×	96 0.2×	112 0.3×	304 1.0×	8	1.0k

Countries citing papers authored by Dor Salomon

Since Specialization

Citations

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

Fields of papers citing papers by Dor Salomon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dor Salomon

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

All Works

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20 of 20 papers shown

Cohen, Hadar, et al.. (2025). Assessing toxicity and competitive fitness of Vibrio isolates from coastal waters in Israel. mSphere. 10(4). e0002525–e0002525.

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

Salomon, Dor, et al.. (2024). Bile acids activate the antibacterial T6SS1 in the gut pathogen Vibrio parahaemolyticus. Microbiology Spectrum. 12(10). e0118124–e0118124. 3 indexed citations

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

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

Cohen, Hadar, et al.. (2023). A Vibrio T6SS-Mediated Lethality in an Aquatic Animal Model. Microbiology Spectrum. 11(4). e0109323–e0109323. 5 indexed citations

Bosis, Eran, et al.. (2023). Vibrio parahaemolyticus T6SS2 effector repertoires. Gut Microbes. 15(1). 2178795–2178795. 14 indexed citations

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

Cohen, Hadar, et al.. (2022). Post-phagocytosis activation of NLRP3 inflammasome by two novel T6SS effectors. eLife. 11. 10 indexed citations

10.

Jana, Biswanath, et al.. (2021). Engineering a customizable antibacterial T6SS‐based platform in Vibrio natriegens. EMBO Reports. 22(11). e53681–e53681. 24 indexed citations

11.

Cohen, Hadar, et al.. (2020). Vibrio pore-forming leukocidin activates pyroptotic cell death via the NLRP3 inflammasome. Emerging Microbes & Infections. 9(1). 278–290. 13 indexed citations

12.

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

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.

Santos, Marcela de Souza, Dor Salomon, & Kim Orth. (2017). T3SS effector VopL inhibits the host ROS response, promoting the intracellular survival of Vibrio parahaemolyticus. PLoS Pathogens. 13(6). e1006438–e1006438. 34 indexed citations

15.

Li, Peng, Giomar Rivera‐Cancel, Lisa N. Kinch, et al.. (2016). Bile salt receptor complex activates a pathogenic type III secretion system. eLife. 5. 62 indexed citations

16.

Teper, Doron, et al.. (2015). Identification of novel X anthomonas euvesicatoria type III effector proteins by a machine‐learning approach. Molecular Plant Pathology. 17(3). 398–411. 53 indexed citations

17.

Salomon, Dor & Kim Orth. (2013). Lost after translation: post-translational modifications by bacterial type III effectors. Current Opinion in Microbiology. 16(2). 213–220. 9 indexed citations

18.

Salomon, Dor, Yirui Guo, Lisa N. Kinch, et al.. (2013). Effectors of animal and plant pathogens use a common domain to bind host phosphoinositides. Nature Communications. 4(1). 2973–2973. 54 indexed citations

19.

Salomon, Dor, et al.. (2010). Expression of Xanthomonas campestris pv. vesicatoria Type III Effectors in Yeast Affects Cell Growth and Viability. Molecular Plant-Microbe Interactions. 24(3). 305–314. 33 indexed citations

20.

Salomon, Dor, et al.. (2009). Bypassing Kinase Activity of the Tomato Pto Resistance Protein with Small Molecule Ligands. Journal of Biological Chemistry. 284(22). 15289–15298. 12 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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