Kim D. Pruitt
- Molecular Biology top 0.2%
- Ecology top 0.5%
- Plant Science top 0.5%
- Genetics top 0.5%
- Cancer Research top 2%
- Co-authors
- Tatiana TatusovaJames OstellDonna MaglottMichael DiCuccioEric P. NawrockiVyacheslav ChetverninLeonid ZaslavskyAlexandre Lomsadze
- Topics
- Genomics and Phylogenetic Studies (35 papers)RNA and protein synthesis mechanisms (18 papers)Bacteriophages and microbial interactions (9 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kim D. Pruitt
61 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 12.5k
- Ecology 3.1k
- Plant Science 2.6k
- Genetics 2.0k
- Cancer Research 1.0k
Countries citing papers authored by Kim D. Pruitt
This map shows the geographic impact of Kim D. Pruitt'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 Kim D. Pruitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim D. Pruitt more than expected).
Fields of papers citing papers by Kim D. Pruitt
This network shows the impact of papers produced by Kim D. Pruitt. 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 Kim D. Pruitt. The network helps show where Kim D. Pruitt may publish in the future.
Co-authorship network of co-authors of Kim D. Pruitt
This figure shows the co-authorship network connecting the top 25 collaborators of Kim D. Pruitt. A scholar is included among the top collaborators of Kim D. Pruitt 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 Kim D. Pruitt. Kim D. Pruitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Rapid and sensitive detection of genome contamination at scale with FCS-GXbreakdown → | 104 |
| 3 | 4 | |
| 4 | 60 | |
| 5 | 4 | |
| 6 | GenBankbreakdown → | 509 |
| 7 | 113 | |
| 8 | 9 | |
| 9 | NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policybreakdown → | 875 |
| 10 | 100 | |
| 11 | 469 | |
| 12 | NCBI参考配列(RefSeq) ゲノム,転写物および蛋白質の管理非重複配列データベース | 0 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 18 | |
| 20 | 17 |
About Kim D. Pruitt
Kim D. Pruitt is a scholar working on Molecular Biology, Virology and Ecology, having authored 63 papers that have together received 17.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (35 papers), RNA and protein synthesis mechanisms (18 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Molecular Biology (12.5k citations), Endocrinology (783 citations) and Molecular Medicine (603 citations). Kim D. Pruitt has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Tatiana Tatusova, James Ostell, Donna Maglott, Michael DiCuccio, Eric P. Nawrocki, Vyacheslav Chetvernin, Leonid Zaslavsky, Alexandre Lomsadze, Mark Borodovsky and Azat Badretdin. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and PLoS ONE.
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.