Kenneth R. Cutroneo
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cell Biology top 5%
- Genetics top 10%
- Dermatology top 2%
- Co-authors
- Susan ShullKenneth SterlingDavid F. CountsH. Paul EhrlichSem H. PhanNatalie T. MeislerSheryl L. WhiteNorberto A. Guzman
- Topics
- TGF-β signaling in diseases (15 papers)Cancer, Hypoxia, and Metabolism (11 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers)
- Journals
- Journal of Biological ChemistryBiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesHong Kong
In The Last Decade
Kenneth R. Cutroneo
84 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 801
- Pulmonary and Respiratory Medicine 522
- Cell Biology 273
- Genetics 262
- Dermatology 233
Countries citing papers authored by Kenneth R. Cutroneo
This map shows the geographic impact of Kenneth R. Cutroneo'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 Kenneth R. Cutroneo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Cutroneo more than expected).
Fields of papers citing papers by Kenneth R. Cutroneo
This network shows the impact of papers produced by Kenneth R. Cutroneo. 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 Kenneth R. Cutroneo. The network helps show where Kenneth R. Cutroneo may publish in the future.
Co-authorship network of co-authors of Kenneth R. Cutroneo
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Cutroneo. A scholar is included among the top collaborators of Kenneth R. Cutroneo 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 Kenneth R. Cutroneo. Kenneth R. Cutroneo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 17 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 77 | |
| 6 | 36 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 41 | |
| 10 | 44 | |
| 11 | 47 | |
| 12 | 24 | |
| 13 | 38 | |
| 14 | 75 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | Collagen synthesis by cloned mouse mammary tumor cells. | 19 |
| 19 | 61 | |
| 20 | 43 |
About Kenneth R. Cutroneo
Kenneth R. Cutroneo is a scholar working on Dermatology, Rehabilitation and Cancer Research, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (15 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers). The work is most often cited by research in Rehabilitation (213 citations), Dermatology (233 citations) and Immunology and Allergy (154 citations). Kenneth R. Cutroneo has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Susan Shull, Kenneth Sterling, David F. Counts, H. Paul Ehrlich, Sem H. Phan, Natalie T. Meisler, Sheryl L. White, Norberto A. Guzman, Marlene Absher and Robert A. Newman. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.
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.