Simon Kasif

37.7k total citations · 5 hit papers
124 papers, 8.2k citations indexed

About

Simon Kasif is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Simon Kasif has authored 124 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 27 papers in Artificial Intelligence and 17 papers in Computational Theory and Mathematics. Recurrent topics in Simon Kasif's work include Bioinformatics and Genomic Networks (29 papers), Genomics and Phylogenetic Studies (22 papers) and Machine Learning in Bioinformatics (18 papers). Simon Kasif is often cited by papers focused on Bioinformatics and Genomic Networks (29 papers), Genomics and Phylogenetic Studies (22 papers) and Machine Learning in Bioinformatics (18 papers). Simon Kasif collaborates with scholars based in United States, Israel and Singapore. Simon Kasif's co-authors include Steven L. Salzberg, Arthur L. Delcher, Owen White, T. M. Murali, Sreerama K. Murthy, Stanley Letovsky, Ilaria Mogno, Joshua T. Thaden, Jeremiah J. Faith and Jamey Wierzbowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Simon Kasif

121 papers receiving 7.9k citations

Hit Papers

Large-Scale Mapping and Validation of Escherichia coli Tr... 1998 2026 2007 2016 2007 2008 1998 1999 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Kasif United States 39 5.9k 1.1k 794 644 507 124 8.2k
Cathy Wu United States 46 7.2k 1.2× 1.3k 1.1× 749 0.9× 535 0.8× 542 1.1× 218 9.4k
Suzanna Lewis United States 36 8.4k 1.4× 1.7k 1.5× 1.8k 2.3× 476 0.7× 1.2k 2.3× 63 10.9k
Reinhard Schneider Germany 43 7.0k 1.2× 368 0.3× 718 0.9× 915 1.4× 374 0.7× 196 10.5k
Rui Jiang China 41 3.5k 0.6× 494 0.4× 689 0.9× 528 0.8× 412 0.8× 268 7.9k
Walter L. Ruzzo United States 43 5.0k 0.8× 2.1k 1.9× 810 1.0× 880 1.4× 222 0.4× 102 8.3k
Peter D. Karp United States 52 12.2k 2.1× 840 0.8× 1.4k 1.8× 851 1.3× 1.1k 2.2× 159 15.3k
Alvis Brāzma United Kingdom 50 11.0k 1.9× 670 0.6× 1.6k 2.1× 433 0.7× 1.0k 2.0× 132 14.7k
Ziv Bar‐Joseph United States 46 6.8k 1.1× 654 0.6× 736 0.9× 463 0.7× 1.4k 2.8× 160 10.1k
Wing‐Kin Sung Singapore 45 6.5k 1.1× 580 0.5× 1.3k 1.6× 442 0.7× 823 1.6× 211 8.6k
Martin Hofmann‐Apitius Germany 51 5.3k 0.9× 936 0.8× 922 1.2× 598 0.9× 280 0.6× 290 11.6k

Countries citing papers authored by Simon Kasif

Since Specialization
Citations

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

Fields of papers citing papers by Simon Kasif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Kasif

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Kasif. A scholar is included among the top collaborators of Simon Kasif 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 Simon Kasif. Simon Kasif 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.
Kasif, Simon, et al.. (2024). SPIDER: constructing cell-type-specific protein–protein interaction networks. Bioinformatics Advances. 4(1). vbae130–vbae130. 3 indexed citations
2.
Law, Jeffrey, Meghana Kshirsagar, Judith Klein‐Seetharaman, et al.. (2021). Interpretable network propagation with application to expanding the repertoire of human proteins that interact with SARS-CoV-2. GigaScience. 10(12). 6 indexed citations
3.
Rheinbay, Esther, Mario L. Suvà, Shawn Gillespie, et al.. (2013). An Aberrant Transcription Factor Network Essential for Wnt Signaling and Stem Cell Maintenance in Glioblastoma. Cell Reports. 3(5). 1567–1579. 197 indexed citations
4.
Liu, Bo, Lina L. Faller, Niels Klitgord, et al.. (2012). Deep Sequencing of the Oral Microbiome Reveals Signatures of Periodontal Disease. PLoS ONE. 7(6). e37919–e37919. 319 indexed citations breakdown →
5.
Anton, Brian P., Lana Saleh, Jack S. Benner, et al.. (2008). RimO, a MiaB-like enzyme, methylthiolates the universally conserved Asp88 residue of ribosomal protein S12 in Escherichia coli. Proceedings of the National Academy of Sciences. 105(6). 1826–1831. 96 indexed citations
6.
Miyano, Satoru, Jill P. Mesirov, Simon Kasif, et al.. (2005). Research in Computational Molecular Biology (vol. # 3500) : 9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings. Springer eBooks. 1 indexed citations
7.
Miyano, Satoru, Jill P. Mesirov, Simon Kasif, et al.. (2005). Research in Computational Molecular Biology: 9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings (Lecture ... Science / Lecture Notes in Bioinformatics). Springer eBooks. 2 indexed citations
8.
Kasif, Simon. (1999). Datascope: Mining Biological Sequences. IEEE Intelligent Systems. 14(6). 38–43. 4 indexed citations
9.
Salzberg, Steven L., David B. Searls, & Simon Kasif. (1998). Computational methods in molecular biology. Elsevier eBooks. 128 indexed citations
10.
Kasif, Simon, et al.. (1996). Local induction of decision trees: towards interactive data mining. Knowledge Discovery and Data Mining. 14–19. 8 indexed citations
11.
Bright, Jonathan, et al.. (1994). Exploiting algebraic structure in parallel state space search. National Conference on Artificial Intelligence. 1341–1346. 4 indexed citations
12.
Heath, David G., Simon Kasif, & Steven L. Salzberg. (1993). Induction of Oblique Decision Trees.. International Joint Conference on Artificial Intelligence. 1002–1007. 96 indexed citations
13.
Murthy, Sreerama K., Simon Kasif, Steven L. Salzberg, & Richard Beigel. (1993). OC1: randomized induction of oblique decision trees. National Conference on Artificial Intelligence. 322–327. 70 indexed citations
14.
Delcher, Arthur L. & Simon Kasif. (1992). Improved decision-making in game trees: recovering from pathology. National Conference on Artificial Intelligence. 513–518. 3 indexed citations
15.
Salzberg, Steven L., Arthur L. Delcher, David G. Heath, & Simon Kasif. (1991). Learning with a Helpful Teacher.. International Joint Conference on Artificial Intelligence. 705–711. 27 indexed citations
16.
Kasif, Simon. (1989). Parallel Solutions to Constraint Satisfaction Problems.. Principles of Knowledge Representation and Reasoning. 180–188. 3 indexed citations
17.
Kasif, Simon & Jack Minker. (1985). The intelligent channel: a scheme for result sharing in logic programs. International Joint Conference on Artificial Intelligence. 29–31. 1 indexed citations
18.
Kasif, Simon. (1984). Analysis of parallelism in logic programs. (volumes i and ii). UMI Dissertation Information Service eBooks. 2 indexed citations
19.
Kasif, Simon, et al.. (1982). Logic Programming: A Parallel Approach.. International Conference on Lightning Protection. 71–77. 5 indexed citations
20.
Chakravarthy, Upen S., et al.. (1982). Logic Programming on ZMOB: A Highly Parallel Machine.. Proceedings of the International Conference on Parallel Processing. 347–349. 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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