Kai W. Post
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Cystic Fibrosis Research Advances
Papers in
- Virology 2
- HIV Research and Treatment 2
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- Blockchain Technology Applications and Security 3
- Co-authors
- David Auble (1 shared paper)Steven Hahn (1 shared paper)Dongyan Wang (1 shared paper)Marijane Russell (1 shared paper)Sean G. Buchanan (1 shared paper)I. Feil (1 shared paper)Kanagalaghatta Ramabhatta Rajashankar (1 shared paper)Vicki L. Nienaber (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (4 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Kai W. Post
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Virology 231
- Pulmonary and Respiratory Medicine 250
- Molecular Biology 349
- Computational Theory and Mathematics 79
- Biochemistry 29
Countries citing papers authored by Kai W. Post
This map shows the geographic impact of Kai W. Post'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 Kai W. Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai W. Post more than expected).
Fields of papers citing papers by Kai W. Post
This network shows the impact of papers produced by Kai W. Post. 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 Kai W. Post. The network helps show where Kai W. Post may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai W. Post, 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 | 2003 | 347 | |
| 2 | 2017 | 264 | |
| 3 | 2005 | 213 | |
| 4 | 2004 | 175 | |
| 5 | 1997 | 83 | |
| 6 | 2013 | 59 | |
| 7 | 2021 | 24 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2018 | 8 | |
| 12 | 2024 | 1 |
About Kai W. Post
Kai W. Post is a scholar working on Virology, Information Systems, Artificial Intelligence, Cancer Research and Materials Chemistry, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Privacy-Preserving Technologies in Data (2 papers), HIV Research and Treatment (2 papers), Enzyme Structure and Function (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Protein Tyrosine Phosphatases (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Virology (231 citations), Pulmonary and Respiratory Medicine (250 citations), Molecular Biology (349 citations), Computational Theory and Mathematics (79 citations) and Biochemistry (29 citations). Kai W. Post has collaborated with scholars based in United States, Japan and China. Frequent co-authors include David Auble, Steven Hahn, Dongyan Wang, Marijane Russell, Sean G. Buchanan, I. Feil, Kanagalaghatta Ramabhatta Rajashankar, Vicki L. Nienaber, John Badger and Brian W. Noland. Their work appears in journals such as Journal of the American Medical Informatics Association, Nucleic Acids Research, Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics and Molecular and Cellular Biology.
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.