Gal Yerushalmi

686 total citations
12 papers, 535 citations indexed

About

Gal Yerushalmi is a scholar working on Endocrinology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Gal Yerushalmi has authored 12 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, 7 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Gal Yerushalmi's work include Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Vibrio bacteria research studies (4 papers). Gal Yerushalmi is often cited by papers focused on Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Vibrio bacteria research studies (4 papers). Gal Yerushalmi collaborates with scholars based in Israel, Singapore and United Kingdom. Gal Yerushalmi's co-authors include Gil Segal, Tal Zusman, Ilan Rosenshine, Ehud Banin, Chen Nadler, Kobi Baruch, Eitan Shaulian, Raz Zarivach, Orli Yogev and Yinon Ben‐Neriah and has published in prestigious journals such as The EMBO Journal, PLoS ONE and The FASEB Journal.

In The Last Decade

Gal Yerushalmi

12 papers receiving 531 citations

Peers

Gal Yerushalmi

ENDOC

MB

GENET

ID

IMMUN

Ascel Samba‐Louaka France

Kathleen T. Hackett United States

Sahar H. El‐Etr United States

Eugenia Silva‐Herzog United States

Sonia Mondino France

Jiro Mitobe Japan

Pramod Kumar Rompikuntal Sweden

Marion S. Dorer United States

Philippe J. Sansonetti France

Sau Fung Lee Australia

Ascel Samba‐Louaka France

Gal Yerushalmi

346 ×1.1

ENDOC

445 ×2.0

MB

123 ×0.8

GENET

103 ×0.9

ID

107 ×1.4

IMMUN

Citations per year, relative to Gal Yerushalmi Gal Yerushalmi (= 1×) peers Ascel Samba‐Louaka

Countries citing papers authored by Gal Yerushalmi

Since Specialization

Citations

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

Fields of papers citing papers by Gal Yerushalmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Yerushalmi

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

All Works

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12 of 12 papers shown

1.

Avraham, Sarit, Alon Kedem, Michal Youngster, et al.. (2022). P-710 COVID-19 Vaccination and Infertility Treatment Outcomes. Human Reproduction. 37(Supplement_1). 1 indexed citations

2.

Zlotnik, E. Ya., et al.. (2017). SawR a new regulator controlling pyomelanin synthesis in Pseudomonas aeruginosa. Microbiological Research. 206. 91–98. 20 indexed citations

3.

Burstein, David, et al.. (2015). Novel Type III Effectors in Pseudomonas aeruginosa. mBio. 6(2). e00161–e00161. 40 indexed citations

4.

Yerushalmi, Gal, et al.. (2014). Dynamics of Expression and Maturation of the Type III Secretion System of Enteropathogenic Escherichia coli. Journal of Bacteriology. 196(15). 2798–2806. 19 indexed citations

5.

Yerushalmi, Gal, et al.. (2014). The Pseudomonas aeruginosa phosphate transport protein PstS plays a phosphate‐independent role in biofilm formation. The FASEB Journal. 28(12). 5223–5233. 28 indexed citations

6.

Yerushalmi, Gal, et al.. (2013). The Effect of pstS and phoB on Quorum Sensing and Swarming Motility in Pseudomonas aeruginosa. PLoS ONE. 8(9). e74444–e74444. 58 indexed citations

7.

Baruch, Kobi, Chen Nadler, Simi Koby, et al.. (2010). Metalloprotease type III effectors that specifically cleave JNK and NF‐κB. The EMBO Journal. 30(1). 221–231. 153 indexed citations

8.

Yerushalmi, Gal, et al.. (2008). Mutational Analysis of the Locus of Enterocyte Effacement-Encoded Regulator (Ler) of EnteropathogenicEscherichia coli. Journal of Bacteriology. 190(23). 7808–7818. 25 indexed citations

9.

Shifrin, Yulia, Adi Peleg, Ophir Ilan, et al.. (2008). Transient Shielding of Intimin and the Type III Secretion System of Enterohemorrhagic and Enteropathogenic Escherichia coli by a Group 4 Capsule. Journal of Bacteriology. 190(14). 5063–5074. 37 indexed citations

10.

Jobichen, Chacko, Mo Li, Gal Yerushalmi, et al.. (2007). Structure of GrlR and the Implication of Its EDED Motif in Mediating the Regulation of Type III Secretion System in EHEC. PLoS Pathogens. 3(5). e69–e69. 31 indexed citations

11.

Yerushalmi, Gal, Tal Zusman, & Gil Segal. (2005). Additive Effect on Intracellular Growth byLegionella pneumophilaIcm/Dot Proteins Containing a Lipobox Motif. Infection and Immunity. 73(11). 7578–7587. 23 indexed citations

12.

Zusman, Tal, Gal Yerushalmi, & Gil Segal. (2003). Functional Similarities between theicm/dotPathogenesis Systems ofCoxiella burnetiiandLegionella pneumophila. Infection and Immunity. 71(7). 3714–3723. 100 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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