V.L. Katis
Impact in
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Photosynthetic Processes and Mechanisms
- RNA Research and Splicing
Papers in
-
- Genomics and Chromatin Dynamics 5
- DNA Repair Mechanisms 4
- RNA and protein synthesis mechanisms 4
- Chemical Synthesis and Analysis 3
- Ubiquitin and proteasome pathways 2
-
- Microtubule and mitosis dynamics 7
- Co-authors
- Kim Nasmyth (7 shared papers)R.G. Wake (6 shared papers)Karl Mechtler (3 shared papers)Matt Sullivan (1 shared paper)Toru Higuchi (1 shared paper)Frank Uhlmann (1 shared paper)Marta Gálová (2 shared papers)Juraj Gregáň (2 shared papers)
- Journals
- Molecular Microbiology (3 papers)Journal of Bacteriology (2 papers)Current Biology (2 papers)Structure (2 papers)Molecular Cell (2 papers)
- Partner nations
- United KingdomAustriaAustralia
In The Last Decade
V.L. Katis
22 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 57
- Cell Biology 905
- Molecular Biology 1.6k
- Plant Science 482
- Genetics 282
- Aging 17
Countries citing papers authored by V.L. Katis
This map shows the geographic impact of V.L. Katis'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 V.L. Katis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V.L. Katis more than expected).
Fields of papers citing papers by V.L. Katis
This network shows the impact of papers produced by V.L. Katis. 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 V.L. Katis. The network helps show where V.L. Katis may publish in the future.
Co-authors
The 25 scholars most cited alongside V.L. Katis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 374 | |
| 2 | 2009 | 259 | |
| 3 | 2004 | 210 | |
| 4 | 2003 | 183 | |
| 5 | 2004 | 151 | |
| 6 | 2010 | 145 | |
| 7 | 2010 | 137 | |
| 8 | 1998 | 100 | |
| 9 | 2004 | 81 | |
| 10 | 1997 | 41 | |
| 11 | 1999 | 35 | |
| 12 | 2000 | 33 | |
| 13 | 1997 | 31 | |
| 14 | 2020 | 24 | |
| 15 | 2024 | 13 | |
| 16 | 2023 | 9 | |
| 17 | 2006 | 8 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About V.L. Katis
V.L. Katis is a scholar working on Molecular Biology, Cell Biology, Genetics, Ecology and Plant Science, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (5 papers), Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (5 papers), DNA Repair Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Chemical Synthesis and Analysis (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (905 citations), Molecular Biology (1.6k citations), Plant Science (482 citations), Genetics (282 citations) and Aging (17 citations). V.L. Katis has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Kim Nasmyth, R.G. Wake, Karl Mechtler, Matt Sullivan, Toru Higuchi, Frank Uhlmann, Marta Gálová, Juraj Gregáň, Katsuhiko Shirahige and Elizabeth J. Harry. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Current Biology, Structure and Molecular Cell.
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.