Gal Horesh

1.6k total citations · 1 hit paper
8 papers, 715 citations indexed

About

Gal Horesh is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Gal Horesh has authored 8 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Ecology and 4 papers in Genetics. Recurrent topics in Gal Horesh's work include Genomics and Phylogenetic Studies (7 papers), Bacteriophages and microbial interactions (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Gal Horesh is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Bacteriophages and microbial interactions (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Gal Horesh collaborates with scholars based in United Kingdom, Finland and Norway. Gal Horesh's co-authors include Jukka Corander, Gerry Tonkin‐Hill, Julian Parkhill, Christopher A. Beaudoin, Christopher Ruis, Stephen D. Bentley, Simon D. W. Frost, R. Andrés Floto, John A. Lees and Stephanie W. Lo and has published in prestigious journals such as Nucleic Acids Research, PLoS Biology and Genome biology.

In The Last Decade

Gal Horesh

8 papers receiving 711 citations

Hit Papers

align trajectories

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.

Producing polished prokaryotic pangenomes with the Panaroo pipeline

2020 576 citations Gerry Tonkin‐Hill, Neil MacAlasdair et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gal Horesh United Kingdom	6	349	171	145	135	133	8	715
Neil MacAlasdair United Kingdom	4	295 0.8×	142 0.8×	111 0.8×	101 0.7×	118 0.9×	5	617
Sarah G. Earle United Kingdom	4	380 1.1×	121 0.7×	125 0.9×	120 0.9×	143 1.1×	4	794
Marius Alfred Dieckmann Germany	4	313 0.9×	171 1.0×	126 0.9×	159 1.2×	90 0.7×	6	666
Harry A. Thorpe United Kingdom	12	280 0.8×	105 0.6×	77 0.5×	112 0.8×	138 1.0×	19	569
Sebastian Beyvers Germany	4	306 0.9×	159 0.9×	117 0.8×	161 1.2×	89 0.7×	6	655
Erika Scaltriti Italy	17	225 0.6×	300 1.8×	144 1.0×	134 1.0×	135 1.0×	64	780
Simon H. Tausch Germany	15	250 0.7×	119 0.7×	94 0.6×	148 1.1×	206 1.5×	30	646
Xiao-Zhe Huang United States	13	266 0.8×	176 1.0×	192 1.3×	201 1.5×	103 0.8×	19	717
Mikhail Raiko Russia	4	365 1.0×	205 1.2×	116 0.8×	271 2.0×	75 0.6×	5	682
Miguel P. Machado Portugal	10	209 0.6×	101 0.6×	83 0.6×	63 0.5×	106 0.8×	22	556

Countries citing papers authored by Gal Horesh

Since Specialization

Citations

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

Fields of papers citing papers by Gal Horesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Horesh

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Blackwell, Grace A., Martin Hunt, Leandro Lima, et al.. (2022). Exploring bacterial diversity via a curated and searchable snapshot of archived DNA. Access Microbiology. 4(5). 1 indexed citations

2.

Horesh, Gal, Alyce Taylor–Brown, Florent Lassalle, et al.. (2021). Different evolutionary trends form the twilight zone of the bacterial pan-genome. Microbial Genomics. 7(9). 15 indexed citations

3.

Horesh, Gal, Grace A. Blackwell, Gerry Tonkin‐Hill, et al.. (2021). A comprehensive and high-quality collection of Escherichia coli genomes and their genes. Microbial Genomics. 7(2). 36 indexed citations

4.

Rahman, Sadia, Alyce Taylor–Brown, Farhana Khanam, et al.. (2021). Genome-wide analysis provides a deeper understanding of the population structure of the Salmonella enterica serotype Paratyphi B complex in Bangladesh. Microbial Genomics. 7(9). 2 indexed citations

5.

Blackwell, Grace A., Martin Hunt, Kerri M. Malone, et al.. (2021). Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences. PLoS Biology. 19(11). e3001421–e3001421. 57 indexed citations

6.

Tonkin‐Hill, Gerry, Neil MacAlasdair, Christopher Ruis, et al.. (2020). Producing polished prokaryotic pangenomes with the Panaroo pipeline. Genome biology. 21(1). 180–180. 576 indexed citations breakdown →

7.

Horesh, Gal, Alexander Harms, Matthew J. Dorman, et al.. (2020). Type II and type IV toxin–antitoxin systems show different evolutionary patterns in the global Klebsiella pneumoniae population. Nucleic Acids Research. 48(8). 4357–4370. 14 indexed citations

8.

Horesh, Gal, Alexander Harms, Leopold Parts, et al.. (2018). SLING: a tool to search for linked genes in bacterial datasets. Nucleic Acids Research. 46(21). e128–e128. 14 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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