Daniel B. Cawley

26 total papers · 707 total citations
19 papers, 569 citations indexed

About

Daniel B. Cawley is a scholar working on Immunology, Biotechnology and Molecular Biology. According to data from OpenAlex, Daniel B. Cawley has authored 19 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Biotechnology and 6 papers in Molecular Biology. Recurrent topics in Daniel B. Cawley's work include Toxin Mechanisms and Immunotoxins (13 papers), Transgenic Plants and Applications (10 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Daniel B. Cawley is often cited by papers focused on Toxin Mechanisms and Immunotoxins (13 papers), Transgenic Plants and Applications (10 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Daniel B. Cawley collaborates with scholars based in United States. Daniel B. Cawley's co-authors include L. L. Houston, Mary L. Hedblom, Harvey R. Herschman, D. Gary Gilliland, R. John Collier, David Simpson, Bor‐Luen Chiang, M. Eric Gershwin, Aftab A. Ansari and Brian Y. Ishida and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel B. Cawley

19 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel B. Cawley 435 260 237 67 56 19 569
D E Wylie 203 0.5× 59 0.2× 297 1.3× 119 1.8× 23 0.4× 18 647
Roger Gilabert‐Oriol 352 0.8× 172 0.7× 340 1.4× 53 0.8× 58 1.0× 29 664
Akira Hitoi 137 0.3× 69 0.3× 498 2.1× 69 1.0× 24 0.4× 13 647
Fernando J. Irazoqui 201 0.5× 38 0.1× 361 1.5× 130 1.9× 47 0.8× 36 552
Georges A. Azar 332 0.8× 35 0.1× 136 0.6× 25 0.4× 35 0.6× 11 594
S. Hashizume 117 0.3× 35 0.1× 261 1.1× 185 2.8× 26 0.5× 24 523
Christina E. Galuska 129 0.3× 70 0.3× 261 1.1× 22 0.3× 17 0.3× 29 503
Richard B. Whitney 306 0.7× 30 0.1× 269 1.1× 41 0.6× 22 0.4× 20 668
Bo Ersson 187 0.4× 99 0.4× 347 1.5× 77 1.1× 66 1.2× 24 511
Vikram R. Rao 334 0.8× 52 0.2× 243 1.0× 24 0.4× 12 0.2× 13 528

Countries citing papers authored by Daniel B. Cawley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Cawley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Cawley. 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 B. Cawley. The network helps show where Daniel B. Cawley may publish in the future.

Co-authorship network of co-authors of Daniel B. Cawley

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

All Works

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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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