Scott Federhen

8.6k total citations · 3 hit papers
9 papers, 2.4k citations indexed

About

Scott Federhen is a scholar working on Molecular Biology, Ecology and Animal Science and Zoology. According to data from OpenAlex, Scott Federhen has authored 9 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Animal Science and Zoology. Recurrent topics in Scott Federhen's work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers) and RNA and protein synthesis mechanisms (3 papers). Scott Federhen is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers) and RNA and protein synthesis mechanisms (3 papers). Scott Federhen collaborates with scholars based in United States, United Kingdom and China. Scott Federhen's co-authors include John C. Wootton, Tatiana Tatusova, Igor Tolstoy, Boris Fedorov, Leonid Zaslavsky, Richard McVeigh, Stacy Ciufo, Kathleen O’Neill, Detlef D. Leipe and Sergei Resenchuk and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Scott Federhen

9 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The NCBI Taxonomy database

2011 921 citations Scott Federhen Nucleic Acids Research profile →
[33] Analysis of compositionally biased regions in sequence databases

1996 614 citations John C. Wootton, Scott Federhen Methods in enzymology on CD-ROM/Methods in enzymology profile →
Statistics of local complexity in amino acid sequences and sequence databases

1993 562 citations John C. Wootton, Scott Federhen Computers & Chemistry profile →

Peers

Scott Federhen

MB

ECOLO

PS

GENET

MC

Barış Ethem Süzek United States

Philip Bucher Germany

Kengo Sato Japan

Aidan Budd Germany

Stephen M. J. Searle United Kingdom

Hugh E. Olsen United States

Alexander Rosenberg Johansen Denmark

Alan Bridge Switzerland

Rasko Leinonen United Kingdom

Mahmut Uludağ Saudi Arabia

Barış Ethem Süzek United States

Scott Federhen

2.3k ×1.1

MB

436 ×1.1

ECOLO

221 ×0.8

PS

283 ×1.1

GENET

183 ×1.2

MC

Citations per year, relative to Scott Federhen Scott Federhen (= 1×) peers Barış Ethem Süzek

Countries citing papers authored by Scott Federhen

Since Specialization

Citations

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

Fields of papers citing papers by Scott Federhen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Federhen

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Federhen, Scott. (2014). Type material in the NCBI Taxonomy Database. Nucleic Acids Research. 43(D1). D1086–D1098. 129 indexed citations

2.

Tatusova, Tatiana, Stacy Ciufo, Scott Federhen, et al.. (2014). Update on RefSeq microbial genomes resources. Nucleic Acids Research. 43(D1). D599–D605. 101 indexed citations

3.

Federhen, Scott, Karen Clark, Tanya Barrett, et al.. (2014). Toward richer metadata for microbial sequences: replacing strain-level NCBI taxonomy taxids with BioProject, BioSample and Assembly records. Standards in Genomic Sciences. 9(3). 1275–1277. 31 indexed citations

4.

Federhen, Scott. (2011). The NCBI Taxonomy database. Nucleic Acids Research. 40(D1). D136–D143. 921 indexed citations breakdown →

5.

Bào, Yīmíng, Scott Federhen, Detlef D. Leipe, et al.. (2004). GUEST COMMENTARY National Center for Biotechnology Information Viral Genomes Project. 1 indexed citations

6.

Bào, Yīmíng, Scott Federhen, Detlef D. Leipe, et al.. (2004). National Center for Biotechnology Information Viral Genomes Project. Journal of Virology. 78(14). 7291–7298. 56 indexed citations

7.

Federhen, Scott, et al.. (2003). Discovering Simple Regions in Biological Sequences Associated with Scoring Schemes. Journal of Computational Biology. 10(2). 171–185. 17 indexed citations

8.

Wootton, John C. & Scott Federhen. (1996). [33] Analysis of compositionally biased regions in sequence databases. Methods in enzymology on CD-ROM/Methods in enzymology. 266. 554–571. 614 indexed citations breakdown →

9.

Wootton, John C. & Scott Federhen. (1993). Statistics of local complexity in amino acid sequences and sequence databases. Computers & Chemistry. 17(2). 149–163. 562 indexed citations breakdown →

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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