Blake Lee Neubauer
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Co-authors
- Jeremy R. GraffBruce W. KonicekAnn M. McNultyPhilip W. IversenRobin L. GoodeGerald R. CunhaGeorge E. SanduskyJ. M. Shannon
- Topics
- Hormonal and reproductive studies (22 papers)Prostate Cancer Treatment and Research (21 papers)Estrogen and related hormone effects (9 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Blake Lee Neubauer
55 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 1.0k
- Oncology 799
- Endocrinology, Diabetes and Metabolism 412
- Cancer Research 392
Countries citing papers authored by Blake Lee Neubauer
This map shows the geographic impact of Blake Lee Neubauer'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 Blake Lee Neubauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Lee Neubauer more than expected).
Fields of papers citing papers by Blake Lee Neubauer
This network shows the impact of papers produced by Blake Lee Neubauer. 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 Blake Lee Neubauer. The network helps show where Blake Lee Neubauer may publish in the future.
Co-authorship network of co-authors of Blake Lee Neubauer
This figure shows the co-authorship network connecting the top 25 collaborators of Blake Lee Neubauer. A scholar is included among the top collaborators of Blake Lee Neubauer 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 Blake Lee Neubauer. Blake Lee Neubauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Preclinical characterization of the CDK4/6 inhibitor LY2835219: in-vivo cell cycle-dependent/independent anti-tumor activities alone/in combination with gemcitabinebreakdown → | 446 |
| 2 | 156 | |
| 3 | 14 | |
| 4 | 17 | |
| 5 | 121 | |
| 6 | 18 | |
| 7 | 320 | |
| 8 | 8 | |
| 9 | 69 | |
| 10 | 16 | |
| 11 | 26 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 8 | |
| 15 | 24 | |
| 16 | 77 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 28 |
About Blake Lee Neubauer
Blake Lee Neubauer is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (22 papers), Prostate Cancer Treatment and Research (21 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.0k citations), Oncology (799 citations) and Genetics (286 citations). Blake Lee Neubauer has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jeremy R. Graff, Bruce W. Konicek, Ann M. McNulty, Philip W. Iversen, Robin L. Goode, Gerald R. Cunha, George E. Sandusky, J. M. Shannon, Rebecca L. Lynch and H Fujii. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.