Kristine E. Devito
Impact in
- Physiology top 10%
- Asthma and respiratory diseases
-
- Antimicrobial Resistance in Staphylococcus
- Antifungal resistance and susceptibility
Papers in
-
- Protease and Inhibitor Mechanisms 3
- NF-κB Signaling Pathways 2
-
- Asthma and respiratory diseases 3
- Adenosine and Purinergic Signaling 2
- Co-authors
- Charles G. Garlisi (11 shared papers)Yuntao Wan (3 shared papers)Shelby P. Umland (3 shared papers)Jun Zou (2 shared papers)Robert W. Egan (2 shared papers)Robert Ralston (1 shared paper)Eric L. Gustafson (1 shared paper)Michael Minnicozzi (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)American Journal of Respiratory Cell and Molecular Biology (3 papers)ACS Medicinal Chemistry Letters (2 papers)Science Translational Medicine (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Kristine E. Devito
15 papers receiving 535 citations
Peers
Comparison fields: 5 of 60
- Physiology 145
- Infectious Diseases 104
- Cancer Research 54
- Molecular Medicine 24
- Immunology 64
Countries citing papers authored by Kristine E. Devito
This map shows the geographic impact of Kristine E. Devito'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 Kristine E. Devito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristine E. Devito more than expected).
Fields of papers citing papers by Kristine E. Devito
This network shows the impact of papers produced by Kristine E. Devito. 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 Kristine E. Devito. The network helps show where Kristine E. Devito may publish in the future.
Co-authors
The 25 scholars most cited alongside Kristine E. Devito, 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 | 2016 | 98 | |
| 2 | 2003 | 84 | |
| 3 | 2014 | 75 | |
| 4 | 2001 | 70 | |
| 5 | 2003 | 54 | |
| 6 | 2020 | 47 | |
| 7 | 2015 | 40 | |
| 8 | 2015 | 25 | |
| 9 | 2011 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2003 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2019 | 2 |
About Kristine E. Devito
Kristine E. Devito is a scholar working on Cancer Research, Physiology, Organic Chemistry, Physiology and Computational Theory and Mathematics, having authored 15 papers that have together received 570 indexed citations. Recurring topics across this work include Synthesis and biological activity (4 papers), Protease and Inhibitor Mechanisms (3 papers), Asthma and respiratory diseases (3 papers), NF-κB Signaling Pathways (2 papers), Adenosine and Purinergic Signaling (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Immune Response and Inflammation (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Physiology (145 citations), Infectious Diseases (104 citations), Cancer Research (54 citations), Molecular Medicine (24 citations) and Immunology (64 citations). Kristine E. Devito has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Charles G. Garlisi, Yuntao Wan, Shelby P. Umland, Jun Zou, Robert W. Egan, Robert Ralston, Eric L. Gustafson, Michael Minnicozzi, Richard W. Chapman and Ted T. Kung. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, American Journal of Respiratory Cell and Molecular Biology, ACS Medicinal Chemistry Letters, Science Translational Medicine and SLAS 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.