Gil Hornung

1.2k total citations
12 papers, 731 citations indexed

About

Gil Hornung is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gil Hornung has authored 12 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Gil Hornung's work include Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Gil Hornung is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Gil Hornung collaborates with scholars based in Israel and United States. Gil Hornung's co-authors include Naama Barkai, Yitzhak Pilpel, Moshe Oren, Brian Berkowitz, J. G. Lajoie, Idan Frumkin, Christopher Gregg, George M. Church, Dalia Rosin and Raz Bar‐Ziv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Genetics.

In The Last Decade

Gil Hornung

12 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gil Hornung Israel	10	608	146	59	39	35	12	731
Juan F. Poyatos Spain	13	575 0.9×	218 1.5×	73 1.2×	61 1.6×	22 0.6×	35	739
Matteo Osella Italy	16	749 1.2×	332 2.3×	42 0.7×	42 1.1×	22 0.6×	34	915
Gabriele Lillacci United States	7	507 0.8×	104 0.7×	24 0.4×	25 0.6×	12 0.3×	13	627
Christoph Zechner Germany	15	1.2k 2.0×	136 0.9×	103 1.7×	31 0.8×	35 1.0×	41	1.4k
Rhys Adams United States	10	652 1.1×	246 1.7×	34 0.6×	29 0.7×	12 0.3×	12	707
Kevin Murphy United States	6	1.0k 1.7×	321 2.2×	73 1.2×	30 0.8×	20 0.6×	7	1.1k
Jeong‐Rae Kim South Korea	15	622 1.0×	84 0.6×	46 0.8×	36 0.9×	63 1.8×	37	820
Yoon Sup Choi South Korea	9	632 1.0×	87 0.6×	112 1.9×	64 1.6×	17 0.5×	12	870
Sidhartha Goyal Canada	11	512 0.8×	210 1.4×	44 0.7×	24 0.6×	22 0.6×	21	641
Yihan Lin China	13	726 1.2×	208 1.4×	76 1.3×	33 0.8×	130 3.7×	36	975

Countries citing papers authored by Gil Hornung

Since Specialization

Citations

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

Fields of papers citing papers by Gil Hornung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Hornung

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Hornung. A scholar is included among the top collaborators of Gil Hornung 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 Gil Hornung. Gil Hornung 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

Perry, Gili, Maya Dadiani, Barak Markus, et al.. (2022). Divergence of mutational signatures in association with breast cancer subtype. Molecular Carcinogenesis. 61(11). 1056–1070. 1 indexed citations

Hornung, Gil, et al.. (2020). Experimental Evolution of Bacillus subtilis Reveals the Evolutionary Dynamics of Horizontal Gene Transfer and Suggests Adaptive and Neutral Effects. Genetics. 216(2). 543–558. 19 indexed citations

Hornung, Gil, et al.. (2019). UTAP: User-friendly Transcriptome Analysis Pipeline. BMC Bioinformatics. 20(1). 154–154. 88 indexed citations

Rauner, Gat, et al.. (2018). High Expression of CD200 and CD200R1 Distinguishes Stem and Progenitor Cell Populations within Mammary Repopulating Units. Stem Cell Reports. 11(1). 288–302. 9 indexed citations

Frumkin, Idan, J. G. Lajoie, Christopher Gregg, et al.. (2018). Codon usage of highly expressed genes affects proteome-wide translation efficiency. Proceedings of the National Academy of Sciences. 115(21). E4940–E4949. 140 indexed citations

Rosin, Dalia, et al.. (2012). Promoter Nucleosome Organization Shapes the Evolution of Gene Expression. PLoS Genetics. 8(3). e1002579–e1002579. 14 indexed citations

Hornung, Gil, Moshe Oren, & Naama Barkai. (2012). Nucleosome Organization Affects the Sensitivity of Gene Expression to Promoter Mutations. Molecular Cell. 46(3). 362–368. 20 indexed citations

Weinberger, Leehee, Yoav Voichek, Itay Tirosh, et al.. (2012). Expression Noise and Acetylation Profiles Distinguish HDAC Functions. Molecular Cell. 47(2). 193–202. 89 indexed citations

Hornung, Gil, Raz Bar‐Ziv, Dalia Rosin, et al.. (2012). Noise–mean relationship in mutated promoters. Genome Research. 22(12). 2409–2417. 125 indexed citations

10.

Hornung, Gil & Naama Barkai. (2008). Noise Propagation and Signaling Sensitivity in Biological Networks: A Role for Positive Feedback. PLoS Computational Biology. 4(1). e8–e8. 156 indexed citations

11.

Hornung, Gil, Brian Berkowitz, & Naama Barkai. (2005). Morphogen gradient formation in a complex environment: An anomalous diffusion model. Physical Review E. 72(4). 41916–41916. 68 indexed citations

12.

Hornung, Gil & Naama Barkai. (2005). Noise propagation and signaling sensitivity in biological networks: A role for positive feedback. PLoS Computational Biology. preprint(2007). e8–e8. 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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