Daniel W. Carr

4.9k citations
59 papers · 4.3k · h-index 37

Impact in

Papers in

Daniel W. Carr

59 papers receiving 4.2k citations

Peers

Daniel W. Carr
Comparison fields: 5 of 118
  • Reproductive Medicine 1.1k
  • Physiology 251
  • Public Health, Environmental and Occupational Health 1.1k
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 536
Replace Lucia Monaco with:
Lucia Monaco Italy
Mary Hunzicker-Dunn United States
Zvi Naor Israel
Naoko Inoue Japan
Jinjiang Fan Canada
Junko Noguchi Japan
Gloria I. Perez United States
Alfredo Ulloa‐Aguirre Mexico
Éric Reiter France
Robert M. Tombes United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994342
2 1992318
3 1992283
4 1997227
5 1999153
6 2001147
7 1984146
8 1998127
9 2003122
10 2012122
11 1985120
12 1977117
13 2001106
14 1992104
15 199293
16 200489
17 198188
18 201386
19 199783
20 201080

About Daniel W. Carr

Daniel W. Carr is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Immunology, having authored 59 papers that have together received 4.3k 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), Phosphodiesterase function and regulation (5 papers), Biochemical Acid Research Studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Physiology (251 citations), Public Health, Environmental and Occupational Health (1.1k citations), Molecular Biology (2.4k citations) and Cellular and Molecular Neuroscience (536 citations). Daniel W. Carr has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Ted S. Acott, John D. Scott, Srinivasan Vijayaraghavan, 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 Biochemical Journal.

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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