Daniel W. Carr

59 papers receiving 4.0k citations

Peers

Daniel W. Carr
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
Replace John S. Davis with:
John S. Davis United States
Tore Jahnsen Norway
Zvi Naor Israel
Alfredo Ulloa‐Aguirre Mexico
Naoko Inoue Japan
Junko Noguchi Japan
Mary Hunzicker-Dunn United States
Gloria I. Perez United States
E.E. Baulieu France
John J. Peluso United States
Daniel W. Carr relative to John S. Davis United States John S. Davis's profile →
Citations per field
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John S. Davis · 1×
Citations per year

Countries citing papers authored by Daniel W. Carr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel W. Carr Line = papers co-authored together Daniel W. Carr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201253
2 201073
3 200917
4 200843
5 200756
6 200745
7 20059
8 200559
9 200484
10 2003116
11 200241
12 2001129
13 200066
14 1999142
15
Regulation of IL-15-stimulated TNF-alpha production by rolipram.
199929
16 199934
17 1998123
18 1994319
19 199016
20 198974

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.

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