Garry P. Reams

77 total papers · 1.6k total citations
62 papers, 1.3k citations indexed

About

Garry P. Reams is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Garry P. Reams has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 20 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Nutrition and Dietetics. Recurrent topics in Garry P. Reams's work include Blood Pressure and Hypertension Studies (20 papers), Renin-Angiotensin System Studies (18 papers) and Hormonal Regulation and Hypertension (17 papers). Garry P. Reams is often cited by papers focused on Blood Pressure and Hypertension Studies (20 papers), Renin-Angiotensin System Studies (18 papers) and Hormonal Regulation and Hypertension (17 papers). Garry P. Reams collaborates with scholars based in United States and Germany. Garry P. Reams's co-authors include John H. Bauer, Daniel Villarreal, Ronald H. Freeman, J H Bauer, Robert M. Spear, Amir Taraben, Zhen Wu, K T Weber, B Maisch and Christian G. Brilla and has published in prestigious journals such as Annals of the New York Academy of Sciences, Kidney International and The American Journal of Medicine.

In The Last Decade

Garry P. Reams

61 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Garry P. Reams 619 305 254 236 223 62 1.3k
Daniel Villarreal 863 1.4× 300 1.0× 325 1.3× 278 1.2× 112 0.5× 95 1.7k
Olaf Grisk 535 0.9× 240 0.8× 318 1.3× 140 0.6× 127 0.6× 66 1.4k
Alexandre A. da Silva 440 0.7× 419 1.4× 377 1.5× 202 0.9× 134 0.6× 58 1.5k
Elena Velkoska 631 1.0× 393 1.3× 225 0.9× 115 0.5× 94 0.4× 55 1.7k
Naoyuki Takashima 791 1.3× 302 1.0× 168 0.7× 136 0.6× 68 0.3× 41 1.6k
Ornella Russo 429 0.7× 379 1.2× 348 1.4× 240 1.0× 84 0.4× 48 1.3k
Rosario Scaglione 865 1.4× 352 1.2× 404 1.6× 81 0.3× 123 0.6× 79 1.7k
Dion Zappe 1.0k 1.6× 477 1.6× 201 0.8× 84 0.4× 92 0.4× 58 1.4k
Yoshio Iwashima 858 1.4× 179 0.6× 284 1.1× 99 0.4× 231 1.0× 50 1.6k
Claudia Ferrier 885 1.4× 244 0.8× 263 1.0× 95 0.4× 112 0.5× 54 1.7k

Countries citing papers authored by Garry P. Reams

Since Specialization
Citations

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

Fields of papers citing papers by Garry P. Reams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garry P. Reams. 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 Garry P. Reams. The network helps show where Garry P. Reams may publish in the future.

Co-authorship network of co-authors of Garry P. Reams

This figure shows the co-authorship network connecting the top 25 collaborators of Garry P. Reams. A scholar is included among the top collaborators of Garry P. Reams 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 Garry P. Reams. Garry P. Reams 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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