Kevin Hartman
- Molecular Biology top 10%
- Physiology top 5%
- Cell Biology top 5%
- Biomaterials top 10%
- Oncology
- Co-authors
- Ayyalusamy RamamoorthyJeffrey BrenderSubramanian VivekanandanE. Neil G. MarshRavi Prakash Reddy NangaNataliya PopovychKendra R. ReidRobert T. Kennedy
- Topics
- Alzheimer's disease research and treatments (8 papers)Prion Diseases and Protein Misfolding (4 papers)Lipid Membrane Structure and Behavior (4 papers)
- Cited by
- PhysiologyCell BiologyMicrobiology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesSingaporeSouth Korea
In The Last Decade
Kevin Hartman
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 802
- Physiology 646
- Cell Biology 299
- Biomaterials 132
- Oncology 123
Countries citing papers authored by Kevin Hartman
This map shows the geographic impact of Kevin Hartman'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 Kevin Hartman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Hartman more than expected).
Fields of papers citing papers by Kevin Hartman
This network shows the impact of papers produced by Kevin Hartman. 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 Kevin Hartman. The network helps show where Kevin Hartman may publish in the future.
Co-authorship network of co-authors of Kevin Hartman
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Hartman. A scholar is included among the top collaborators of Kevin Hartman 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 Kevin Hartman. Kevin Hartman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Toward the Automatic Labeling of Course Questions for Ensuring Their Alignment with Learning Outcomes. | 13 |
| 4 | Modelling the Way: Using Action Sequence Archetypes to Differentiate Learning Pathways from Learning Outcomes. | 3 |
| 5 | 29 | |
| 6 | 12 | |
| 7 | 115 | |
| 8 | 77 | |
| 9 | 80 | |
| 10 | 87 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 41 | |
| 15 | 130 | |
| 16 | 15 | |
| 17 | 68 | |
| 18 | 6 | |
| 19 | 38 | |
| 20 | 92 |
About Kevin Hartman
Kevin Hartman is a scholar working on Research and Theory, Cell Biology and Virology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Prion Diseases and Protein Misfolding (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Physiology (646 citations), Cell Biology (299 citations) and Microbiology (103 citations). Kevin Hartman has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Ayyalusamy Ramamoorthy, Jeffrey Brender, Subramanian Vivekanandan, E. Neil G. Marsh, Ravi Prakash Reddy Nanga, Nataliya Popovych, Kendra R. Reid, Robert T. Kennedy, Lisa A. Lewis and David W. Dyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.