David L. Cooper

515 total citations
15 papers, 373 citations indexed

About

David L. Cooper is a scholar working on Cultural Studies, Sociology and Political Science and Epidemiology. According to data from OpenAlex, David L. Cooper has authored 15 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cultural Studies, 2 papers in Sociology and Political Science and 2 papers in Epidemiology. Recurrent topics in David L. Cooper's work include Language and cultural evolution (3 papers), Impact of Technology on Adolescents (1 paper) and Neonatal and fetal brain pathology (1 paper). David L. Cooper is often cited by papers focused on Language and cultural evolution (3 papers), Impact of Technology on Adolescents (1 paper) and Neonatal and fetal brain pathology (1 paper). David L. Cooper collaborates with scholars based in United States. David L. Cooper's co-authors include Paul Modrich, Robert S. Lahue, Paul Meara, Susan Stepney, Bernett L. Johnson, John G. Toffaletti, Bruce Lobaugh, David R. Axon, Milap C. Nahata and Robert Perna and has published in prestigious journals such as Journal of Biological Chemistry, Metabolism and Eurosurveillance.

In The Last Decade

David L. Cooper

13 papers receiving 353 citations

Peers

David L. Cooper
Comparison fields: 5 of 90
  • Molecular Biology 161
  • Pathology and Forensic Medicine 111
  • Genetics 49
  • Epidemiology 38
  • Cancer Research 32
Replace Sandra Y. Han with:
Sandra Y. Han United States
Xu Xu China
Andréanne Gagné Canada
Nozomi Tanaka Japan
Hervé Perdry France
Byung-In Lee South Korea
Nicole Z. Sommer United States
Sara Finley United States
Shannon Gallagher United States
Laura Mazzoni Italy
Sandra Y. Han United States View profile →
Citations per field, relative to David L. Cooper
David L. Cooper · 1×
Citations per year, relative to David L. Cooper
David L. Cooper · 1×

Countries citing papers authored by David L. Cooper

Since Specialization
Citations

This map shows the geographic impact of David L. Cooper'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 David L. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Cooper more than expected).

Fields of papers citing papers by David L. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Cooper. 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 David L. Cooper. The network helps show where David L. Cooper may publish in the future.

Co-authorship network of co-authors of David L. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Cooper. A scholar is included among the top collaborators of David L. Cooper 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 David L. Cooper. David L. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 10
2 21
3 8
4 3
5 1
6 1
7 31
8
Inventing a national literature : Czech and Russian criticism, 1800-1830
1
9 23
10 15
11
Z in practice
32
12
Early detection of de novo hepatitis C infection in patients after liver transplantation by reverse transcriptase polymerase chain reaction.
15
13 165
14 19
15 28

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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