Ken Frazer

2.1k total citations · 1 hit paper
12 papers, 633 citations indexed

About

Ken Frazer is a scholar working on Molecular Biology, Information Systems and Management Information Systems. According to data from OpenAlex, Ken Frazer has authored 12 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Information Systems and 1 paper in Management Information Systems. Recurrent topics in Ken Frazer's work include Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Ken Frazer is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (4 papers). Ken Frazer collaborates with scholars based in United States. Ken Frazer's co-authors include Leyla Ruzicka, Douglas G. Howe, Christian Pich, Sridhar Ramachandran, Ceri E. Van Slyke, Ryan Martin, David Fashena, Holly Paddock, Yvonne M. Bradford and Amy Singer and has published in prestigious journals such as Nucleic Acids Research, Genetics and genesis.

In The Last Decade

Ken Frazer

12 papers receiving 577 citations

Hit Papers

Zebrafish information network, the knowledgebase for Dani... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Ken Frazer
Mark V. Culp United States
Son Nguyen Vietnam
Wen Xu United States
Ting Deng China
Huili Chen United States
Sridhar Ramachandran United States
Sean Whalen United States
Clay Williams United States
Keith Williamson United States
Mark V. Culp United States
Ken Frazer
Citations per year, relative to Ken Frazer Ken Frazer (= 1×) peers Mark V. Culp

Countries citing papers authored by Ken Frazer

Since Specialization
Citations

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

Fields of papers citing papers by Ken Frazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Frazer

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

All Works

12 of 12 papers shown
1.
Bradford, Yvonne M., Ceri E. Van Slyke, Douglas G. Howe, et al.. (2023). From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes. Genetics. 224(1). 4 indexed citations
2.
Bradford, Yvonne M., Ceri E. Van Slyke, Leyla Ruzicka, et al.. (2022). Zebrafish information network, the knowledgebase for Danio rerio research. Genetics. 220(4). 114 indexed citations breakdown →
3.
Howe, Douglas G., Sridhar Ramachandran, Yvonne M. Bradford, et al.. (2020). The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Research. 49(D1). D1058–D1064. 10 indexed citations
4.
Ruzicka, Leyla, Douglas G. Howe, Sridhar Ramachandran, et al.. (2018). The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Research. 47(D1). D867–D873. 98 indexed citations
5.
Howe, Douglas G., Yvonne M. Bradford, Anne Eagle, et al.. (2016). A scientist's guide for submitting data to ZFIN. Methods in cell biology. 135. 451–481. 6 indexed citations
6.
Howe, Douglas G., Yvonne M. Bradford, Anne Eagle, et al.. (2016). The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Research. 45(D1). D758–D768. 62 indexed citations
7.
Ruzicka, Leyla, Yvonne M. Bradford, Ken Frazer, et al.. (2015). ZFIN, The zebrafish model organism database: Updates and new directions. genesis. 53(8). 498–509. 53 indexed citations
8.
Howe, Douglas G., Ken Frazer, David Fashena, et al.. (2011). Data Extraction, Transformation, and Dissemination through ZFIN. Methods in cell biology. 104. 311–325. 4 indexed citations
9.
Frazer, Ken. (2004). Review of "Use cases, requirements in context by Daryl Kulak and Eamon Guiney." Addison-Wesley 2004. ACM SIGSOFT Software Engineering Notes. 29(5). 36–37. 16 indexed citations
10.
Frazer, Ken. (2004). Review of "Managing software requirements, a use case approach by Dean Leffingwell and Don Widrig." Addison-Wesley 2003. ACM SIGSOFT Software Engineering Notes. 29(5). 36–36. 104 indexed citations
11.
Frazer, Ken. (2002). C++ in action. ACM SIGSOFT Software Engineering Notes. 27(5). 104–105. 1 indexed citations
12.
Frazer, Ken. (2002). Building secure software. ACM SIGSOFT Software Engineering Notes. 27(2). 71–72. 161 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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