Steven Kregel
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 10%
- Oncology top 10%
- Genetics
- Co-authors
- Donald J. Vander GriendRussell Z. SzmulewitzYi CaiKristen OttoMasis IsikbayJacob KachSuzanne D. ConzenNathan Sandbo
- Topics
- Prostate Cancer Treatment and Research (12 papers)Protein Degradation and Inhibitors (4 papers)Cancer Cells and Metastasis (4 papers)
- Journals
- NatureNucleic Acids ResearchPLoS ONE
- Partner nations
- United StatesItalyLebanon
In The Last Decade
Steven Kregel
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 616
- Pulmonary and Respiratory Medicine 507
- Cancer Research 256
- Oncology 254
- Genetics 156
Countries citing papers authored by Steven Kregel
This map shows the geographic impact of Steven Kregel'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 Steven Kregel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Kregel more than expected).
Fields of papers citing papers by Steven Kregel
This network shows the impact of papers produced by Steven Kregel. 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 Steven Kregel. The network helps show where Steven Kregel may publish in the future.
Co-authorship network of co-authors of Steven Kregel
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Kregel. A scholar is included among the top collaborators of Steven Kregel 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 Steven Kregel. Steven Kregel 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 | 5 | |
| 3 | 11 | |
| 4 | 48 | |
| 5 | 38 | |
| 6 | Biologically informed deep neural network for prostate cancer discoverybreakdown → | 239 |
| 7 | 109 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 78 | |
| 11 | Molecular analysis of CD133-positive circulating tumor cells from patients with metastatic castration-resistant prostate cancer. | 17 |
| 12 | 212 | |
| 13 | 23 | |
| 14 | 7 | |
| 15 | 131 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 94 | |
| 19 | 17 | |
| 20 | 21 |
About Steven Kregel
Steven Kregel is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Protein Degradation and Inhibitors (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (256 citations), Pulmonary and Respiratory Medicine (507 citations) and Oncology (254 citations). Steven Kregel has collaborated with scholars based in United States, Italy and Lebanon. Frequent co-authors include Donald J. Vander Griend, Russell Z. Szmulewitz, Yi Cai, Kristen Otto, Masis Isikbay, Jacob Kach, Suzanne D. Conzen, Nathan Sandbo, Sébastien Taurin and Gladell P. Paner. Their work appears in journals such as Nature, Nucleic Acids Research and PLoS ONE.
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.