Kyle A. DiVito
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- TGF-β signaling in diseases 6
- Advanced Biosensing Techniques and Applications 4
- Hedgehog Signaling Pathway Studies 3
- Oncology 11
- Cancer-related Molecular Pathways 5
- Cancer Cells and Metastasis 3
- Co-authors
- Robert L. Camp (7 shared papers)David L. Rimm (6 shared papers)Harriet M. Kluger (7 shared papers)Lori A. Charette (1 shared paper)Aaron J. Berger (4 shared papers)Dean S. Rosenthal (8 shared papers)Michael A. Daniele (4 shared papers)Cynthia M. Simbulan‐Rosenthal (7 shared papers)
- Journals
- Cancer Research (3 papers)Clinical Cancer Research (2 papers)Carcinogenesis (2 papers)Experimental Dermatology (2 papers)Laboratory Investigation (2 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Kyle A. DiVito
24 papers receiving 753 citations
Peers
Comparison fields: 5 of 89
- Oncology 273
- Cancer Research 119
- Molecular Biology 508
- Immunology and Allergy 43
- Microbiology 36
Countries citing papers authored by Kyle A. DiVito
This map shows the geographic impact of Kyle A. DiVito'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 A. DiVito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle A. DiVito more than expected).
Fields of papers citing papers by Kyle A. DiVito
This network shows the impact of papers produced by Kyle A. DiVito. 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 A. DiVito. The network helps show where Kyle A. DiVito may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle A. DiVito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 116 | |
| 2 | 2005 | 73 | |
| 3 | 2004 | 62 | |
| 4 | 2004 | 61 | |
| 5 | 2004 | 47 | |
| 6 | 2016 | 45 | |
| 7 | 2007 | 41 | |
| 8 | 2017 | 38 | |
| 9 | 2004 | 36 | |
| 10 | 2016 | 33 | |
| 11 | 2006 | 32 | |
| 12 | 2013 | 24 | |
| 13 | 2010 | 23 | |
| 14 | 2012 | 21 | |
| 15 | 2023 | 19 | |
| 16 | 2009 | 17 | |
| 17 | 2009 | 15 | |
| 18 | 2005 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2010 | 11 |
About Kyle A. DiVito
Kyle A. DiVito is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Immunology and Allergy and Cancer Research, having authored 24 papers that have together received 767 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), 3D Printing in Biomedical Research (5 papers), Cancer-related Molecular Pathways (5 papers), Advanced Biosensing Techniques and Applications (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer Cells and Metastasis (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Oncology (273 citations), Cancer Research (119 citations), Molecular Biology (508 citations), Immunology and Allergy (43 citations) and Microbiology (36 citations). Kyle A. DiVito has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Robert L. Camp, David L. Rimm, Harriet M. Kluger, Lori A. Charette, Aaron J. Berger, Dean S. Rosenthal, Michael A. Daniele, Cynthia M. Simbulan‐Rosenthal, Ruth Halaban and Mary M. McCarthy. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Carcinogenesis, Experimental Dermatology and Laboratory Investigation.
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.