Gregory N. Prado

41 total papers · 833 total citations
28 papers, 703 citations indexed

About

Gregory N. Prado is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Gregory N. Prado has authored 28 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Genetics and 7 papers in Oncology. Recurrent topics in Gregory N. Prado's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Receptor Mechanisms and Signaling (6 papers) and Chemokine receptors and signaling (5 papers). Gregory N. Prado is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Receptor Mechanisms and Signaling (6 papers) and Chemokine receptors and signaling (5 papers). Gregory N. Prado collaborates with scholars based in United States, Puerto Rico and Canada. Gregory N. Prado's co-authors include Péter Polgàr, Linda Taylor, Javier Navarro, Dale F. Mierke, Xiaofeng Zhou, Dennis A. Ricupero, Hiroyuki Suzuki, Nancy Wilkinson, Krishna Rajarathnam and Jun Yu and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biochemistry.

In The Last Decade

Gregory N. Prado

28 papers receiving 693 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory N. Prado 330 251 231 191 103 28 703
Alexander Faußner 388 1.2× 205 0.8× 433 1.9× 114 0.6× 139 1.3× 43 869
Yu Kawakami 319 1.0× 346 1.4× 151 0.7× 69 0.4× 33 0.3× 28 863
Kyoko Yamashiro 248 0.8× 232 0.9× 193 0.8× 214 1.1× 112 1.1× 17 901
F. Gauthier 299 0.9× 107 0.4× 206 0.9× 47 0.2× 105 1.0× 26 678
Hans Baumeister 361 1.1× 232 0.9× 45 0.2× 132 0.7× 69 0.7× 24 775
Céline Derambure 206 0.6× 161 0.6× 72 0.3× 106 0.6× 87 0.8× 33 691
Marina Kovalenko 595 1.8× 129 0.5× 61 0.3× 88 0.5× 174 1.7× 25 855
Haijuan Chen 366 1.1× 93 0.4× 184 0.8× 110 0.6× 22 0.2× 30 679
Katie O’Callaghan 480 1.5× 87 0.3× 112 0.5× 153 0.8× 143 1.4× 19 903
Magdalena Paterka 201 0.6× 442 1.8× 84 0.4× 117 0.6× 62 0.6× 19 843

Countries citing papers authored by Gregory N. Prado

Since Specialization
Citations

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

Fields of papers citing papers by Gregory N. Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory N. Prado. 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 Gregory N. Prado. The network helps show where Gregory N. Prado may publish in the future.

Co-authorship network of co-authors of Gregory N. Prado

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026