Hani Neuvirth

959 total citations
12 papers, 716 citations indexed

About

Hani Neuvirth is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Hani Neuvirth has authored 12 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Hani Neuvirth's work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers) and Computational Drug Discovery Methods (3 papers). Hani Neuvirth is often cited by papers focused on Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (4 papers) and Computational Drug Discovery Methods (3 papers). Hani Neuvirth collaborates with scholars based in Israel, United States and Italy. Hani Neuvirth's co-authors include Gideon Schreiber, Ran Raz, Dana Reichmann, Mati Cohen, Ofer Rahat, Michal Rosen‐Zvi, Ehud Aharoni, Kay E. Gottschalk, Michal Ozery-Flato and André Altmann and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Hani Neuvirth

12 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hani Neuvirth Israel	8	554	181	175	75	56	12	716
N. O. Manning United States	5	627 1.1×	114 0.6×	153 0.9×	43 0.6×	13 0.2×	5	829
Chunhua Li China	17	808 1.5×	137 0.8×	49 0.3×	48 0.6×	54 1.0×	116	1.1k
Piotr Pokarowski Poland	10	1.0k 1.8×	141 0.8×	161 0.9×	45 0.6×	11 0.2×	21	1.2k
Dinler A. Antunes United States	17	644 1.2×	164 0.9×	56 0.3×	158 2.1×	15 0.3×	48	945
Élodie Laine France	16	712 1.3×	114 0.6×	147 0.8×	72 1.0×	19 0.3×	50	910
Johan Desmet Belgium	20	1.3k 2.3×	183 1.0×	461 2.6×	398 5.3×	31 0.6×	32	1.6k
Pablo Gaínza Switzerland	14	994 1.8×	259 1.4×	183 1.0×	258 3.4×	11 0.2×	25	1.3k
Julia Koehler Leman United States	16	869 1.6×	148 0.8×	168 1.0×	68 0.9×	7 0.1×	25	1.1k
Öznur Taştan Türkiye	15	513 0.9×	159 0.9×	37 0.2×	20 0.3×	53 0.9×	40	715
José Ignacio Garzón United States	10	633 1.1×	148 0.8×	123 0.7×	65 0.9×	13 0.2×	12	748

Countries citing papers authored by Hani Neuvirth

Since Specialization

Citations

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

Fields of papers citing papers by Hani Neuvirth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hani Neuvirth

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

Ozery-Flato, Michal, Liat Ein‐Dor, Ranit Aharonov, et al.. (2016). Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study. Big Data. 4(3). 148–159. 6 indexed citations

Rosset, Saharon, Ehud Aharoni, & Hani Neuvirth. (2014). Novel Statistical Tools for Management of Public Databases Facilitate Community-Wide Replicability and Control of False Discovery. Genetic Epidemiology. 38(5). 477–481. 2 indexed citations

Neuvirth, Hani, Yaara Goldschmidt, Costanza Conti, et al.. (2011). A Standard Based Approach for Biomedical Knowledge Representation. Studies in health technology and informatics. 169. 689–93. 2 indexed citations

Neuvirth, Hani, Michal Ozery-Flato, Jianying Hu, et al.. (2011). Toward personalized care management of patients at risk. 395–403. 35 indexed citations

Aharoni, Ehud, Hani Neuvirth, & Saharon Rosset. (2010). The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(5). 1431–1437. 5 indexed citations

Cohen, Mati, Dana Reichmann, Hani Neuvirth, & Gideon Schreiber. (2008). Similar chemistry, but different bond preferences in inter versus intra‐protein interactions. Proteins Structure Function and Bioinformatics. 72(2). 741–753. 35 indexed citations

Altmann, André, Michal Rosen‐Zvi, Mattia Prosperi, et al.. (2008). Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy. PLoS ONE. 3(10). e3470–e3470. 40 indexed citations

Rosen‐Zvi, Michal, André Altmann, Mattia Prosperi, et al.. (2008). Selecting anti-HIV therapies based on a variety of genomic and clinical factors. Bioinformatics. 24(13). i399–i406. 47 indexed citations

Reichmann, Dana, Ofer Rahat, Mati Cohen, Hani Neuvirth, & Gideon Schreiber. (2007). The molecular architecture of protein–protein binding sites. Current Opinion in Structural Biology. 17(1). 67–76. 159 indexed citations

10.

Neuvirth, Hani, Uwe Heinemann, Daniel Birnbaum, Naftali Tishby, & Gideon Schreiber. (2007). ProMateus--an open research approach to protein-binding sites analysis. Nucleic Acids Research. 35(Web Server). W543–W548. 17 indexed citations

11.

Gottschalk, Kay E., Hani Neuvirth, & Gideon Schreiber. (2004). A novel method for scoring of docked protein complexes using predicted protein-protein binding sites. Protein Engineering Design and Selection. 17(2). 183–189. 24 indexed citations

12.

Neuvirth, Hani, Ran Raz, & Gideon Schreiber. (2004). ProMate: A Structure Based Prediction Program to Identify the Location of Protein–Protein Binding Sites. Journal of Molecular Biology. 338(1). 181–199. 344 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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