Nathan Linial

18 total papers · 630 total citations
12 papers, 430 citations indexed

About

Nathan Linial is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Nathan Linial has authored 12 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Computational Theory and Mathematics. Recurrent topics in Nathan Linial's work include Protein Structure and Dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Machine Learning in Bioinformatics (3 papers). Nathan Linial is often cited by papers focused on Protein Structure and Dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Machine Learning in Bioinformatics (3 papers). Nathan Linial collaborates with scholars based in Israel and United States. Nathan Linial's co-authors include Michal Linial, Golan Yona, Dror Tobi, Ron Elber, Nadav Brandes, Menachem Fromer, Yosef Prat, Naftali Tishby, Regev Schweiger and Elon Portugaly and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Nathan Linial

12 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nathan Linial	340	77	47	38	36	12	430
Liang‐Tsung Huang	291 0.9×	82 1.1×	45 1.0×	22 0.6×	40 1.1×	25	371
David Allouche	224 0.7×	68 0.9×	19 0.4×	49 1.3×	40 1.1×	17	380
Xinqiang Ding	358 1.1×	68 0.9×	19 0.4×	65 1.7×	18 0.5×	19	435
Tong Liu	339 1.0×	31 0.4×	22 0.5×	22 0.6×	24 0.7×	32	439
Katarína Furmanová	241 0.7×	48 0.6×	19 0.4×	32 0.8×	26 0.7×	23	383
Juan Felipe Beltrán	229 0.7×	13 0.2×	73 1.6×	29 0.8×	30 0.8×	13	378
Alex Ade	266 0.8×	24 0.3×	26 0.6×	29 0.8×	27 0.8×	13	418
Yu-Hong Tan	290 0.9×	50 0.6×	8 0.2×	51 1.3×	25 0.7×	14	468
Leyla García	268 0.8×	14 0.2×	23 0.5×	33 0.9×	90 2.5×	14	465
Martin Maňák	303 0.9×	83 1.1×	23 0.5×	39 1.0×	4 0.1×	11	441

Countries citing papers authored by Nathan Linial

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Linial

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Linial

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

All Works

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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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