Eshel Faraggi

2.0k total citations
41 papers, 1.5k citations indexed

About

Eshel Faraggi is a scholar working on Molecular Biology, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Eshel Faraggi has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Materials Chemistry and 5 papers in Condensed Matter Physics. Recurrent topics in Eshel Faraggi's work include Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (19 papers) and RNA and protein synthesis mechanisms (13 papers). Eshel Faraggi is often cited by papers focused on Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (19 papers) and RNA and protein synthesis mechanisms (13 papers). Eshel Faraggi collaborates with scholars based in United States, China and Australia. Eshel Faraggi's co-authors include Yaoqi Zhou, Yuedong Yang, Bin Xue, Andrzej Kloczkowski, Huiying Zhao, Lukasz Kurgan, Tuo Zhang, Tuo Zhang, A. Keith Dunker and Shesheng Zhang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Eshel Faraggi

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eshel Faraggi United States 18 1.3k 471 185 82 49 41 1.5k
Dennis R. Livesay United States 23 1.1k 0.8× 300 0.6× 168 0.9× 128 1.6× 50 1.0× 55 1.3k
Shuo Liang Lin Israel 10 881 0.7× 402 0.9× 262 1.4× 66 0.8× 55 1.1× 12 1.0k
Alessandro Barbato Italy 12 819 0.6× 387 0.8× 136 0.7× 44 0.5× 50 1.0× 25 1.3k
Julio Kovacs United States 16 711 0.5× 326 0.7× 237 1.3× 72 0.9× 32 0.7× 35 1.0k
Mohammed AlQuraishi United States 13 1.4k 1.1× 285 0.6× 299 1.6× 109 1.3× 57 1.2× 24 1.7k
Piotr Pokarowski Poland 10 1.0k 0.8× 161 0.3× 141 0.8× 45 0.5× 85 1.7× 21 1.2k
Sankar Basu India 15 614 0.5× 194 0.4× 147 0.8× 59 0.7× 23 0.5× 39 791
Valerio Mariani Germany 9 834 0.6× 543 1.2× 102 0.6× 34 0.4× 63 1.3× 14 1.2k
Julia Koehler Leman United States 16 869 0.7× 168 0.4× 148 0.8× 68 0.8× 70 1.4× 25 1.1k
Rebecca F. Alford United States 6 990 0.8× 230 0.5× 124 0.7× 152 1.9× 57 1.2× 12 1.2k

Countries citing papers authored by Eshel Faraggi

Since Specialization
Citations

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

Fields of papers citing papers by Eshel Faraggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eshel Faraggi

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

All Works

20 of 20 papers shown
1.
Basu, Sushmita, Bi Zhao, Eshel Faraggi, et al.. (2023). DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options. Nucleic Acids Research. 52(D1). D426–D433. 7 indexed citations
2.
Jernigan, Robert L., et al.. (2021). Computational Ways to Enhance Protein Inhibitor Design. Frontiers in Molecular Biosciences. 7. 607323–607323. 2 indexed citations
3.
Faraggi, Eshel, Robert L. Jernigan, & Andrzej Kloczkowski. (2020). A Hybrid Levenberg–Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models. Methods in molecular biology. 2190. 307–316. 1 indexed citations
4.
Zhang, Tuo, Eshel Faraggi, Zhixiu Li, & Yaoqi Zhou. (2016). Intrinsic Disorder and Semi-disorder Prediction by SPINE-D. Methods in molecular biology. 1484. 159–174. 9 indexed citations
5.
Faraggi, Eshel & Andrzej Kloczkowski. (2016). Accurate Prediction of One-Dimensional Protein Structure Features Using SPINE-X. Methods in molecular biology. 1484. 45–53. 2 indexed citations
6.
Kouza, Maksim, Eshel Faraggi, Andrzej Koliński, & Andrzej Kloczkowski. (2016). The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool. Methods in molecular biology. 1484. 7–24. 44 indexed citations
7.
Faraggi, Eshel, Maksim Kouza, Yaoqi Zhou, & Andrzej Kloczkowski. (2016). Fast and Accurate Accessible Surface Area Prediction Without a Sequence Profile. Methods in molecular biology. 1484. 127–136. 9 indexed citations
8.
Faraggi, Eshel & Andrzej Kloczkowski. (2014). A Global Machine Learning Based Scoring Function for Protein Structure Prediction. Biophysical Journal. 106(2). 656a–657a. 14 indexed citations
9.
Faraggi, Eshel & Andrzej Kloczkowski. (2014). GENN: A GEneral Neural Network for Learning Tabulated Data with Examples from Protein Structure Prediction. Methods in molecular biology. 1260. 165–178. 6 indexed citations
10.
Zhang, Tuo, Eshel Faraggi, Zhixiu Li, & Yaoqi Zhou. (2013). Intrinsically Semi-disordered State and Its Role in Induced Folding and Protein Aggregation. Cell Biochemistry and Biophysics. 67(3). 1193–1205. 53 indexed citations
11.
Kloczkowski, Andrzej, Paweł Gniewek, Eshel Faraggi, et al.. (2013). New Methods to Improve Protein Structure Prediction and Refinement. Biophysical Journal. 104(2). 229a–229a. 1 indexed citations
12.
Faraggi, Eshel, Tuo Zhang, Yuedong Yang, Lukasz Kurgan, & Yaoqi Zhou. (2011). SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles. Journal of Computational Chemistry. 33(3). 259–267. 193 indexed citations
13.
Zhou, Yaoqi, Yong Duan, Yuedong Yang, Eshel Faraggi, & Hongxing Lei. (2010). Trends in template/fragment-free protein structure prediction. Theoretical Chemistry Accounts. 128(1). 3–16. 45 indexed citations
14.
Faraggi, Eshel, Yuedong Yang, Shesheng Zhang, & Yaoqi Zhou. (2009). Predicting Continuous Local Structure and the Effect of Its Substitution for Secondary Structure in Fragment-Free Protein Structure Prediction. Structure. 17(11). 1515–1527. 98 indexed citations
15.
Faraggi, Eshel, Bin Xue, & Yaoqi Zhou. (2008). Improving the prediction accuracy of residue solvent accessibility and real‐value backbone torsion angles of proteins by guided‐learning through a two‐layer neural network. Proteins Structure Function and Bioinformatics. 74(4). 847–856. 111 indexed citations
16.
Xue, Bin, et al.. (2008). Real‐value prediction of backbone torsion angles. Proteins Structure Function and Bioinformatics. 72(1). 427–433. 55 indexed citations
17.
Faraggi, Eshel, et al.. (2008). Locally converging algorithms for determining the critical temperature in Ising systems. Physical Review B. 78(13). 2 indexed citations
18.
Faraggi, Eshel, Shijun Wang, & Bernard S. Gerstman. (2005). Stress confinement, shock wave formation, and laser-induced damage. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5695. 209–209. 7 indexed citations
19.
Faraggi, Eshel, et al.. (2005). Biophysical effects of pulsed lasers in the retina and other tissues containing strongly absorbing particles: shockwave and explosive bubble generation. Journal of Biomedical Optics. 10(6). 64029–64029. 18 indexed citations
20.
Reichl, L. E., et al.. (2003). Simulation of hysteresis in magnetic nanoparticles with Nosé thermostating. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(5). 56130–56130. 3 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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