Daniel Barnett
Impact in
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Retinoids in leukemia and cellular processes 3
- Sexual Differentiation and Disorders 2
- Genetics 6
- Estrogen and related hormone effects 5
- Co-authors
- Benita S. Katzenellenbogen (6 shared papers)Wade Bushman (6 shared papers)Jonna Frasor (2 shared papers)Shubin Sheng (3 shared papers)J. Quentin Clemens (2 shared papers)Carol A. Podlasek (2 shared papers)John A. Katzenellenbogen (1 shared paper)Larry N. Petz (1 shared paper)
- Journals
- Developmental Biology (3 papers)The Journal of Urology (2 papers)Endocrinology (2 papers)Molecular and Cellular Endocrinology (2 papers)Cell Reports (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Daniel Barnett
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Urology 135
- Genetics 558
- Reproductive Medicine 121
- Molecular Biology 704
- Endocrinology, Diabetes and Metabolism 156
Countries citing papers authored by Daniel Barnett
This map shows the geographic impact of Daniel Barnett'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 Daniel Barnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barnett more than expected).
Fields of papers citing papers by Daniel Barnett
This network shows the impact of papers produced by Daniel Barnett. 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 Daniel Barnett. The network helps show where Daniel Barnett may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Barnett, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 255 | |
| 2 | 2003 | 205 | |
| 3 | 2004 | 185 | |
| 4 | 1999 | 174 | |
| 5 | 2002 | 133 | |
| 6 | 2008 | 125 | |
| 7 | 2001 | 123 | |
| 8 | 2003 | 61 | |
| 9 | 2002 | 31 | |
| 10 | 2005 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2008 | 22 | |
| 13 | 2023 | 17 | |
| 14 | 1972 | 17 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2024 | 11 | |
| 18 | 2021 | 6 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 1 |
About Daniel Barnett
Daniel Barnett is a scholar working on Molecular Biology, Genetics, Urology, Neurology and Neurology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Urological Disorders and Treatments (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Retinoids in leukemia and cellular processes (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Sexual Differentiation and Disorders (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Urology (135 citations), Genetics (558 citations), Reproductive Medicine (121 citations), Molecular Biology (704 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Daniel Barnett has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Benita S. Katzenellenbogen, Wade Bushman, Jonna Frasor, Shubin Sheng, J. Quentin Clemens, Carol A. Podlasek, John A. Katzenellenbogen, Larry N. Petz, Fabio Stossi and Jeanne M. Danes. Their work appears in journals such as Developmental Biology, The Journal of Urology, Endocrinology, Molecular and Cellular Endocrinology and Cell Reports.
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.