Paul R. McCurdy

94 total papers · 2.0k total citations
75 papers, 1.6k citations indexed

About

Paul R. McCurdy is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Paul R. McCurdy has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 29 papers in Hematology and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Paul R. McCurdy's work include Hemoglobinopathies and Related Disorders (35 papers), Neonatal Health and Biochemistry (16 papers) and Blood groups and transfusion (15 papers). Paul R. McCurdy is often cited by papers focused on Hemoglobinopathies and Related Disorders (35 papers), Neonatal Health and Biochemistry (16 papers) and Blood groups and transfusion (15 papers). Paul R. McCurdy collaborates with scholars based in United States, United Kingdom and Thailand. Paul R. McCurdy's co-authors include Charles E. Rath, Dilip L. Solanki, Lawrence E. Pierce, J. Lawrence Naiman, Henry N. Kirkman, Marcel E. Conrad, George J. Nemo, Harvey G. Klein, Elaine M. Sloand and Thomas A. Bensinger and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Biological Chemistry.

In The Last Decade

Paul R. McCurdy

72 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Paul R. McCurdy 616 551 407 326 231 75 1.6k
Robert S. Franco 611 1.0× 480 0.9× 267 0.7× 871 2.7× 618 2.7× 65 2.3k
H. Chaplin 406 0.7× 710 1.3× 111 0.3× 557 1.7× 244 1.1× 75 1.8k
A. J. Bellingham 686 1.1× 597 1.1× 346 0.9× 475 1.5× 291 1.3× 79 1.8k
Louis D. Wadsworth 466 0.8× 814 1.5× 311 0.8× 498 1.5× 472 2.0× 69 2.2k
Joan‐Lluís Vives Corrons 464 0.8× 584 1.1× 307 0.8× 635 1.9× 447 1.9× 98 1.8k
O Shalev 576 0.9× 458 0.8× 270 0.7× 577 1.8× 282 1.2× 76 1.6k
Finch Ca 1.0k 1.6× 1.5k 2.8× 125 0.3× 360 1.1× 211 0.9× 64 2.2k
Christine Cserti‐Gazdewich 327 0.5× 748 1.4× 103 0.3× 282 0.9× 222 1.0× 107 2.0k
Ángel F. Remacha 636 1.0× 983 1.8× 136 0.3× 171 0.5× 157 0.7× 73 1.7k
Phillip Sturgeon 595 1.0× 1.0k 1.9× 368 0.9× 463 1.4× 387 1.7× 108 2.1k

Countries citing papers authored by Paul R. McCurdy

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. McCurdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. McCurdy. 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 Paul R. McCurdy. The network helps show where Paul R. McCurdy may publish in the future.

Co-authorship network of co-authors of Paul R. McCurdy

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. McCurdy. A scholar is included among the top collaborators of Paul R. McCurdy 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 Paul R. McCurdy. Paul R. McCurdy 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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