Kyle L. Kolaja
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 5%
- Cancer Research top 5%
- Co-authors
- Thomas ForceLiang GuoJames E. KlaunigBlake D. AnsonTimothy J. KampEarl F. WalborgS BachowskiMark R. Fielden
- Topics
- Carcinogens and Genotoxicity Assessment (14 papers)Computational Drug Discovery Methods (10 papers)3D Printing in Biomedical Research (9 papers)
- Journals
- Journal of Biological ChemistryJournal of the American College of CardiologyNature Reviews Drug Discovery
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Kyle L. Kolaja
69 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.0k
- Cardiology and Cardiovascular Medicine 831
- Cellular and Molecular Neuroscience 673
- Biomedical Engineering 500
- Cancer Research 439
Countries citing papers authored by Kyle L. Kolaja
This map shows the geographic impact of Kyle L. Kolaja'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 Kyle L. Kolaja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle L. Kolaja more than expected).
Fields of papers citing papers by Kyle L. Kolaja
This network shows the impact of papers produced by Kyle L. Kolaja. 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 Kyle L. Kolaja. The network helps show where Kyle L. Kolaja may publish in the future.
Co-authorship network of co-authors of Kyle L. Kolaja
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle L. Kolaja. A scholar is included among the top collaborators of Kyle L. Kolaja 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 Kyle L. Kolaja. Kyle L. Kolaja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 108 | |
| 5 | 47 | |
| 6 | 50 | |
| 7 | 278 | |
| 8 | 80 | |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 429 | |
| 16 | 22 | |
| 17 | 34 | |
| 18 | 5 | |
| 19 | 57 | |
| 20 | 25 |
About Kyle L. Kolaja
Kyle L. Kolaja is a scholar working on Pharmacology, Cancer Research and Computational Theory and Mathematics, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (14 papers), Computational Drug Discovery Methods (10 papers) and 3D Printing in Biomedical Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (673 citations), Cardiology and Cardiovascular Medicine (831 citations) and Pharmacology (308 citations). Kyle L. Kolaja has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Thomas Force, Liang Guo, James E. Klaunig, Blake D. Anson, Timothy J. Kamp, Earl F. Walborg, S Bachowski, Mark R. Fielden, Rory Abrams and James A. Thomson. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Nature Reviews Drug Discovery.
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.