Jonathan A. Kans

1.3k total citations
11 papers, 962 citations indexed

About

Jonathan A. Kans is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jonathan A. Kans has authored 11 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology. Recurrent topics in Jonathan A. Kans's work include Genomics and Phylogenetic Studies (4 papers), Fungal and yeast genetics research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). Jonathan A. Kans is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Fungal and yeast genetics research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). Jonathan A. Kans collaborates with scholars based in United States and Canada. Jonathan A. Kans's co-authors include Robert Mortimer, Jonathan A. Epstein, Gregory D. Schuler, Hitomi Ohkawa, C. Rebecca Contopoulou, David Schild, Colombe Chappey, Stephen H. Bryant, Yanli Wang and Lewis Y. Geer and has published in prestigious journals such as The Journal of Immunology, Trends in Biochemical Sciences and Journal of Bacteriology.

In The Last Decade

Jonathan A. Kans

11 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan A. Kans United States 8 811 116 104 74 65 11 962
Graham Cameron United Kingdom 13 770 0.9× 139 1.2× 73 0.7× 85 1.1× 71 1.1× 22 981
A. D. Baxevanis United States 9 520 0.6× 94 0.8× 61 0.6× 45 0.6× 41 0.6× 10 684
Vasilis J. Promponas Cyprus 18 994 1.2× 121 1.0× 183 1.8× 117 1.6× 58 0.9× 60 1.5k
Lucas B. Carey Spain 19 974 1.2× 219 1.9× 112 1.1× 37 0.5× 89 1.4× 33 1.3k
László Kaján Hungary 10 663 0.8× 97 0.8× 76 0.7× 53 0.7× 33 0.5× 12 913
W. C. Barker United States 12 529 0.7× 97 0.8× 79 0.8× 58 0.8× 34 0.5× 20 700
Cath Brooksbank United Kingdom 18 730 0.9× 75 0.6× 56 0.5× 44 0.6× 33 0.5× 61 953
C. Lachaize Switzerland 4 540 0.7× 64 0.6× 89 0.9× 70 0.9× 17 0.3× 4 699
William Baker United States 4 614 0.8× 87 0.8× 87 0.8× 116 1.6× 43 0.7× 11 826
Beatrice Cuche Switzerland 2 844 1.0× 121 1.0× 245 2.4× 118 1.6× 22 0.3× 2 1.2k

Countries citing papers authored by Jonathan A. Kans

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Kans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Kans. 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 Jonathan A. Kans. The network helps show where Jonathan A. Kans may publish in the future.

Co-authorship network of co-authors of Jonathan A. Kans

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

All Works

11 of 11 papers shown
1.
Kans, Jonathan A.. (2016). Entrez Direct: E-utilities on the UNIX Command Line. 50 indexed citations
2.
Ostell, James M., Sarah J. Wheelan, & Jonathan A. Kans. (2001). The NCBI Data Model. Methods of biochemical analysis. 39. 19–43. 26 indexed citations
3.
Kans, Jonathan A. & B. F. Francis Ouellette. (2001). Submitting DNA Sequences to the Databases. Methods of biochemical analysis. 43. 65–81. 7 indexed citations
4.
Wang, Yanli, et al.. (2000). Cn3D: sequence and structure views for Entrez. Trends in Biochemical Sciences. 25(6). 300–302. 211 indexed citations
5.
Kans, Jonathan A. & B. F. Francis Ouellette. (1998). Submitting DNA Sequences to the Databases. Methods of biochemical analysis. 39. 319–354. 5 indexed citations
6.
Schuler, Gregory D., Jonathan A. Epstein, Hitomi Ohkawa, & Jonathan A. Kans. (1996). [10] Entrez: Molecular biology database and retrieval system. Methods in enzymology on CD-ROM/Methods in enzymology. 266. 141–162. 295 indexed citations
7.
Epstein, Jonathan A., Jonathan A. Kans, & Gregory D. Schuler. (1994). WWW Entrez: A Hypertext Retrieval Tool for Molecular Biology.. 5 indexed citations
8.
Kans, Jonathan A. & Robert Mortimer. (1991). Nucleotide sequence of the RAD57 gene of Saccharomyces cerevisiae. Gene. 105(1). 139–140. 99 indexed citations
9.
Mortimer, Robert, David Schild, C. Rebecca Contopoulou, & Jonathan A. Kans. (1989). Genetic map of Saccharomyces cerevisiae, edition 10. Yeast. 5(5). 321–403. 245 indexed citations
10.
Kans, Jonathan A. & M J Casadaban. (1989). Nucleotide sequences required for Tn3 transposition immunity. Journal of Bacteriology. 171(4). 1904–1914. 17 indexed citations
11.
Kans, Jonathan A., et al.. (1981). Mechanism of neonatal idiotype suppression. III. Delayed maturation of plasmacytoma stem cells in neonatally suppressed hosts.. The Journal of Immunology. 127(2). 509–513. 2 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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