Daniel W. Carr
Impact in
- Reproductive Medicine top 0.5%
- Sperm and Testicular Function
- Physiology top 1%
Papers in
-
- Sperm and Testicular Function 17
- Co-authors
- Ted S. AcottSrinivasan VijayaraghavanJohn D. ScottIain D. C. FraserJ.D. ScottMichael P. DaveyRobynn V. SchillaceSarah E. Fiedler
- Journals
- Biology of Reproduction (15 papers)Journal of Biological Chemistry (10 papers)The Journal of Immunology (5 papers)PLoS ONE (3 papers)FEBS Letters (2 papers)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Daniel W. Carr
59 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 121
- Reproductive Medicine 1.1k
- Physiology 235
- Public Health, Environmental and Occupational Health 1.1k
- Molecular Biology 2.4k
- Biochemistry 210
Countries citing papers authored by Daniel W. Carr
This map shows the geographic impact of Daniel W. Carr'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 W. Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Carr more than expected).
Fields of papers citing papers by Daniel W. Carr
This network shows the impact of papers produced by Daniel W. Carr. 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 W. Carr. The network helps show where Daniel W. Carr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel W. Carr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 53 | |
| 2 | 2010 | 73 | |
| 3 | 2009 | 17 | |
| 4 | 2008 | 43 | |
| 5 | 2007 | 56 | |
| 6 | 2007 | 45 | |
| 7 | 2005 | 9 | |
| 8 | 2005 | 59 | |
| 9 | 2004 | 84 | |
| 10 | 2003 | 116 | |
| 11 | 2002 | 41 | |
| 12 | 2001 | 129 | |
| 13 | 2000 | 66 | |
| 14 | 1999 | 142 | |
| 15 | Regulation of IL-15-stimulated TNF-alpha production by rolipram. | 1999 | 29 |
| 16 | 1999 | 34 | |
| 17 | 1998 | 123 | |
| 18 | 1994 | 319 | |
| 19 | 1990 | 16 | |
| 20 | 1989 | 74 |
About Daniel W. Carr
Daniel W. Carr is a scholar working on Reproductive Medicine, Biological Psychiatry, Public Health, Environmental and Occupational Health, Biochemistry and Aging, having authored 59 papers that have together received 4.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (23 papers), Sperm and Testicular Function (17 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Signaling Pathways in Disease (6 papers), Biochemical Acid Research Studies (5 papers), Phosphodiesterase function and regulation (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Physiology (235 citations), Public Health, Environmental and Occupational Health (1.1k citations), Molecular Biology (2.4k citations) and Biochemistry (210 citations). Daniel W. Carr has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Ted S. Acott, Srinivasan Vijayaraghavan, John D. Scott, Iain D. C. Fraser, J.D. Scott, Michael P. Davey, Robynn V. Schillace, Sarah E. Fiedler, Said A. Goueli and Z.E. Hausken. Their work appears in journals such as Biology of Reproduction, Journal of Biological Chemistry, The Journal of Immunology, PLoS ONE and FEBS Letters.
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.