John R. Hawse
- Molecular Biology top 5%
- Genetics top 2%
- Oncology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Malayannan SubramaniamThomas C. SpelsbergJames N. IngleMatthew P. GoetzMarc KantorowXianglin WuElizabeth S. BruinsmaNalini M. Rajamannan
- Topics
- Estrogen and related hormone effects (37 papers)TGF-β signaling in diseases (22 papers)Bone Metabolism and Diseases (20 papers)
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
John R. Hawse
105 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 1.9k
- Genetics 1.1k
- Oncology 823
- Cancer Research 575
- Pulmonary and Respiratory Medicine 332
Countries citing papers authored by John R. Hawse
This map shows the geographic impact of John R. Hawse'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 John R. Hawse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Hawse more than expected).
Fields of papers citing papers by John R. Hawse
This network shows the impact of papers produced by John R. Hawse. 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 John R. Hawse. The network helps show where John R. Hawse may publish in the future.
Co-authorship network of co-authors of John R. Hawse
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Hawse. A scholar is included among the top collaborators of John R. Hawse 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 John R. Hawse. John R. Hawse 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 | 0 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 36 | |
| 10 | 19 | |
| 11 | 35 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 34 | |
| 15 | 6 | |
| 16 | 47 | |
| 17 | 11 | |
| 18 | 77 | |
| 19 | 13 | |
| 20 | 149 |
About John R. Hawse
John R. Hawse is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (37 papers), TGF-β signaling in diseases (22 papers) and Bone Metabolism and Diseases (20 papers). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (575 citations) and Oncology (823 citations). John R. Hawse has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Malayannan Subramaniam, Thomas C. Spelsberg, James N. Ingle, Matthew P. Goetz, Marc Kantorow, Xianglin Wu, Elizabeth S. Bruinsma, Nalini M. Rajamannan, Sabine F. Bensamoun and Steven A. Johnsen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.