Jonathan A. Kans
Impact in
- Molecular Biology top 10%
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- DNA Repair Mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
Papers in
-
- Genomics and Phylogenetic Studies 4
- Fungal and yeast genetics research 2
- Gene expression and cancer classification 1
- Genetics 3
- Genomics and Rare Diseases 1
- Co-authors
- Robert Mortimer (3 shared papers)David Schild (2 shared papers)C. Rebecca Contopoulou (2 shared papers)Gregory D. Schuler (2 shared papers)Jonathan A. Epstein (2 shared papers)Hitomi Ohkawa (1 shared paper)Colombe Chappey (1 shared paper)Lewis Y. Geer (1 shared paper)
- Journals
- Methods of biochemical analysis (3 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Gene (1 paper)Yeast (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jonathan A. Kans
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.1k
- Aging 14
- Cell Biology 93
- Genetics 150
- Plant Science 155
Countries citing papers authored by Jonathan A. Kans
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
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-authors
The 15 scholars most cited alongside Jonathan A. Kans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 387 | |
| 2 | 1996 | 297 | |
| 3 | 1989 | 245 | |
| 4 | 2000 | 211 | |
| 5 | 1991 | 98 | |
| 6 | Entrez Direct: E-utilities on the UNIX Command Line | 2016 | 52 |
| 7 | 2001 | 26 | |
| 8 | 1989 | 17 | |
| 9 | 2001 | 7 | |
| 10 | 1998 | 5 | |
| 11 | WWW Entrez: A Hypertext Retrieval Tool for Molecular Biology. | 1994 | 5 |
| 12 | 1981 | 2 |
About Jonathan A. Kans
Jonathan A. Kans is a scholar working on Molecular Biology, Genetics, Ecology, Computer Networks and Communications and Information Systems, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Fungal and yeast genetics research (2 papers), Fermentation and Sensory Analysis (1 paper), Genomics and Rare Diseases (1 paper), Scientific Research and Discoveries (1 paper), Gene expression and cancer classification (1 paper), Enzyme Structure and Function (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Aging (14 citations), Cell Biology (93 citations), Genetics (150 citations) and Plant Science (155 citations). Jonathan A. Kans has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert Mortimer, David Schild, C. Rebecca Contopoulou, Gregory D. Schuler, Jonathan A. Epstein, Hitomi Ohkawa, Colombe Chappey, Lewis Y. Geer, Stephen H. Bryant and Yanli Wang. Their work appears in journals such as Methods of biochemical analysis, Methods in enzymology on CD-ROM/Methods in enzymology, Gene, Yeast and Trends in Biochemical Sciences.
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.