T. A. J. Prankerd

85 total papers · 2.0k total citations
70 papers, 1.6k citations indexed

About

T. A. J. Prankerd is a scholar working on Physiology, Hematology and Genetics. According to data from OpenAlex, T. A. J. Prankerd has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 19 papers in Hematology and 13 papers in Genetics. Recurrent topics in T. A. J. Prankerd's work include Erythrocyte Function and Pathophysiology (19 papers), Neonatal Health and Biochemistry (12 papers) and Blood groups and transfusion (10 papers). T. A. J. Prankerd is often cited by papers focused on Erythrocyte Function and Pathophysiology (19 papers), Neonatal Health and Biochemistry (12 papers) and Blood groups and transfusion (10 papers). T. A. J. Prankerd collaborates with scholars based in United Kingdom, United States and Jamaica. T. A. J. Prankerd's co-authors include Kurt I. Altman, Ila M. Harris, P.S. Burge, E. J. Harris, J.D.M. Richards, R. G. Westall, Wendy Johnson, Lawrence E. Young, A. J. Bowdler and Maxwell P. Westerman and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Investigation.

In The Last Decade

T. A. J. Prankerd

67 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
T. A. J. Prankerd 603 400 331 330 267 70 1.6k
J. Lawrence Naiman 333 0.6× 198 0.5× 325 1.0× 443 1.3× 425 1.6× 56 1.6k
O Shalev 577 1.0× 576 1.4× 270 0.8× 458 1.4× 282 1.1× 76 1.6k
A. J. Bellingham 475 0.8× 686 1.7× 346 1.0× 597 1.8× 291 1.1× 79 1.8k
Paul R. McCurdy 326 0.5× 616 1.5× 407 1.2× 551 1.7× 231 0.9× 75 1.6k
L. Michael Snyder 923 1.5× 382 1.0× 307 0.9× 315 1.0× 494 1.9× 65 1.8k
Veli Kairisto 373 0.6× 253 0.6× 103 0.3× 378 1.1× 298 1.1× 48 1.7k
Arthur Sawitsky 683 1.1× 502 1.3× 143 0.4× 260 0.8× 279 1.0× 71 1.8k
H. Chaplin 557 0.9× 406 1.0× 111 0.3× 710 2.2× 244 0.9× 75 1.8k
K. G. Blume 678 1.1× 141 0.4× 315 1.0× 200 0.6× 368 1.4× 46 1.4k
Eman Abdel Rahman Ismail 218 0.4× 319 0.8× 144 0.4× 363 1.1× 262 1.0× 109 1.4k

Countries citing papers authored by T. A. J. Prankerd

Since Specialization
Citations

This map shows the geographic impact of T. A. J. Prankerd'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 T. A. J. Prankerd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. J. Prankerd more than expected).

Fields of papers citing papers by T. A. J. Prankerd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. J. Prankerd. 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 T. A. J. Prankerd. The network helps show where T. A. J. Prankerd may publish in the future.

Co-authorship network of co-authors of T. A. J. Prankerd

This figure shows the co-authorship network connecting the top 25 collaborators of T. A. J. Prankerd. A scholar is included among the top collaborators of T. A. J. Prankerd 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 T. A. J. Prankerd. T. A. J. Prankerd 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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