James W. Prahl

25 total papers · 2.1k total citations
21 papers, 1.8k citations indexed

About

James W. Prahl is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, James W. Prahl has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in James W. Prahl's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Complement system in diseases (6 papers) and Glycosylation and Glycoproteins Research (5 papers). James W. Prahl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Complement system in diseases (6 papers) and Glycosylation and Glycoproteins Research (5 papers). James W. Prahl collaborates with scholars based in United States and United Kingdom. James W. Prahl's co-authors include Brian F. Tack, Jarmila Janatova, Sam Morris, M L Thomas, R. A. Harrison, Hans Neurath, Roy Porter, Howard M. Grey, Leroy Hood and Alan N. Schechter and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

James W. Prahl

21 papers receiving 1.5k citations

Hit Papers

Third component of human ... 1976 2026 1992 2009 1976 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
James W. Prahl 1.1k 774 581 493 257 21 1.8k
Viktor A. Bokisch 1.2k 1.1× 474 0.6× 469 0.8× 405 0.8× 402 1.6× 23 2.1k
Gabriel Goldberger 737 0.7× 774 1.0× 166 0.3× 312 0.6× 187 0.7× 33 1.7k
Rodney R. Porter 940 0.9× 519 0.7× 364 0.6× 412 0.8× 148 0.6× 20 1.5k
G Biesecker 835 0.8× 711 0.9× 221 0.4× 246 0.5× 106 0.4× 29 1.8k
G H Fey 956 0.9× 867 1.1× 239 0.4× 287 0.6× 191 0.7× 30 2.2k
F.C. Wissler 429 0.4× 756 1.0× 616 1.1× 264 0.5× 76 0.3× 14 1.6k
Michael A. Davitz 563 0.5× 987 1.3× 208 0.4× 175 0.4× 149 0.6× 21 2.2k
M Prenant 498 0.5× 852 1.1× 130 0.2× 619 1.3× 228 0.9× 33 2.2k
Andreas M. Hohlbaum 1.6k 1.6× 642 0.8× 293 0.5× 162 0.3× 150 0.6× 25 2.4k
D Y Mochizuki 1.5k 1.4× 619 0.8× 310 0.5× 442 0.9× 90 0.4× 27 2.3k

Countries citing papers authored by James W. Prahl

Since Specialization
Citations

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

Fields of papers citing papers by James W. Prahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Prahl. 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 James W. Prahl. The network helps show where James W. Prahl may publish in the future.

Co-authorship network of co-authors of James W. Prahl

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Prahl. A scholar is included among the top collaborators of James W. Prahl 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 James W. Prahl. James W. Prahl 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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