F. Lewitter

3.6k total citations · 1 hit paper
25 papers, 2.5k citations indexed

About

F. Lewitter is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, F. Lewitter has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in F. Lewitter's work include Genetics, Bioinformatics, and Biomedical Research (10 papers), Genomics and Phylogenetic Studies (6 papers) and Gene expression and cancer classification (6 papers). F. Lewitter is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (10 papers), Genomics and Phylogenetic Studies (6 papers) and Gene expression and cancer classification (6 papers). F. Lewitter collaborates with scholars based in United States, United Kingdom and Netherlands. F. Lewitter's co-authors include Gerald R. Fink, An Jansen, Kevin J. Verstrepen, Bo Yuan, George W. Bell, Stuart S. Levine, David K. Gifford, Kimberly A. Walker, Nancy M. Hannett and Richard A. Young and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

F. Lewitter

24 papers receiving 2.5k citations

Hit Papers

Genome-wide Map of Nucleosome Acetylation and Methylation... 2005 2026 2012 2019 2005 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
F. Lewitter United States 13 2.1k 356 296 119 114 25 2.5k
Timothy Danford United States 9 2.5k 1.2× 288 0.8× 459 1.6× 100 0.8× 90 0.8× 10 2.8k
Lawrence E. Heisler Canada 21 1.5k 0.7× 185 0.5× 359 1.2× 86 0.7× 166 1.5× 31 2.2k
Mordechai Choder Israel 33 3.2k 1.5× 313 0.9× 539 1.8× 75 0.6× 257 2.3× 58 3.9k
Xavier Rios United States 9 2.5k 1.2× 270 0.8× 380 1.3× 225 1.9× 147 1.3× 14 2.7k
Daniel Shoemaker United States 14 2.8k 1.4× 258 0.7× 332 1.1× 86 0.7× 275 2.4× 26 3.2k
Jean Vandenhaute Belgium 28 2.7k 1.3× 298 0.8× 255 0.9× 222 1.9× 75 0.7× 50 3.5k
Orna Dahan Israel 20 2.0k 1.0× 234 0.7× 472 1.6× 58 0.5× 111 1.0× 29 2.3k
Tommy Kaplan Israel 29 3.6k 1.7× 638 1.8× 504 1.7× 75 0.6× 213 1.9× 56 4.3k
Carolina Perez‐Iratxeta Canada 25 2.4k 1.1× 150 0.4× 405 1.4× 62 0.5× 222 1.9× 37 3.0k
Dmitry Pokholok United States 18 4.1k 2.0× 461 1.3× 512 1.7× 132 1.1× 311 2.7× 25 4.5k

Countries citing papers authored by F. Lewitter

Since Specialization
Citations

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

Fields of papers citing papers by F. Lewitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Lewitter

This figure shows the co-authorship network connecting the top 25 collaborators of F. Lewitter. A scholar is included among the top collaborators of F. Lewitter 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 F. Lewitter. F. Lewitter 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.
Bongcam‐Rudloff, Erik, Michelle D. Brazas, Manuel Corpas, et al.. (2015). GOBLET: The Global Organisation for Bioinformatics Learning, Education and Training. PLoS Computational Biology. 11(4). e1004143–e1004143. 35 indexed citations
2.
Brazas, Michelle D., F. Lewitter, Maria Victoria Schneider, Celia van Gelder, & Patricia M. Palagi. (2014). A Quick Guide to Genomics and Bioinformatics Training for Clinical and Public Audiences. PLoS Computational Biology. 10(4). e1003510–e1003510. 16 indexed citations
3.
Welch, Lonnie R., F. Lewitter, Russell Schwartz, et al.. (2014). Bioinformatics Curriculum Guidelines: Toward a Definition of Core Competencies. PLoS Computational Biology. 10(3). e1003496–e1003496. 84 indexed citations
4.
Welch, Lonnie R., Russell Schwartz, & F. Lewitter. (2012). A Report of the Curriculum Task Force of the ISCB Education Committee. PLoS Computational Biology. 8(6). e1002570–e1002570. 8 indexed citations
5.
Chin, Brian, Owen Ryan, F. Lewitter, Charles Boone, & Gerald R. Fink. (2012). Genetic Variation inSaccharomyces cerevisiae: Circuit Diversification in a Signal Transduction Network. Genetics. 192(4). 1523–1532. 31 indexed citations
6.
Lewitter, F. & Michael Rebhan. (2009). Establishing a Successful Bioinformatics Core Facility Team. PLoS Computational Biology. 5(6). e1000368–e1000368. 12 indexed citations
7.
Lewitter, F.. (2007). Moving Education Forward. PLoS Computational Biology. 3(1). e19–e19. 7 indexed citations
8.
Bell, George W. & F. Lewitter. (2006). [22] Visualizing Networks. Methods in enzymology on CD-ROM/Methods in enzymology. 411. 408–421. 13 indexed citations
9.
Verstrepen, Kevin J., An Jansen, F. Lewitter, & Gerald R. Fink. (2005). Intragenic tandem repeats generate functional variability. Nature Genetics. 37(9). 986–990. 481 indexed citations
10.
Pokholok, Dmitry, Christopher Harbison, Stuart S. Levine, et al.. (2005). Genome-wide Map of Nucleosome Acetylation and Methylation in Yeast. Cell. 122(4). 517–527. 1098 indexed citations breakdown →
11.
Kelley, Brian, Bo Yuan, F. Lewitter, et al.. (2004). PathBLAST: a tool for alignment of protein interaction networks. Nucleic Acids Research. 32(Web Server). W83–W88. 274 indexed citations
12.
Yuan, Bo, Robert Latek, Markus Hoßbach, Thomas Tuschl, & F. Lewitter. (2004). siRNA Selection Server: an automated siRNA oligonucleotide prediction server. Nucleic Acids Research. 32(Web Server). W130–W134. 255 indexed citations
13.
Pandey, Akhilesh & F. Lewitter. (1999). Nucleotide sequence databases: a gold mine for biologists. Trends in Biochemical Sciences. 24(7). 276–280. 47 indexed citations
14.
Lewitter, F.. (1998). Text-based database searching. Trends in biotechnology. 16. 3–5. 1 indexed citations
15.
Lewitter, F.. (1996). Resources for human geneticists. Trends in Genetics. 12(12). 531–532. 3 indexed citations
16.
Williamson, R., A. Bowcock, K.K. Kidd, et al.. (1990). Report of the DNA committee and catalogues of cloned and mapped genes and DNA polymorphisms (Part 1 of 14). Cytogenetic and Genome Research. 55(1-4). 457–472. 49 indexed citations
17.
Williamson, R., A. Bowcock, K.K. Kidd, et al.. (1990). Report of the DNA committee and catalogues of cloned and mapped genes and DNA polymorphisms (Part 9 of 14). Cytogenetic and Genome Research. 55(1-4). 693–713. 2 indexed citations
18.
Wright, Josephine A. & F. Lewitter. (1988). Report of the informatics committee. Cytogenetic and Genome Research. 49(1-3). 219–220. 1 indexed citations
19.
Lewitter, F. & Wayne P. Rindone. (1987). [36] Computer programs for analyzing DNA and protein sequences. Methods in enzymology on CD-ROM/Methods in enzymology. 155. 582–593. 1 indexed citations
20.
Lewitter, F., et al.. (1980). Genetic models of reading disability. Behavior Genetics. 10(1). 9–30. 75 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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