Gary R. Marchand

72 total papers · 2.2k total citations
58 papers, 1.9k citations indexed

About

Gary R. Marchand is a scholar working on Nephrology, Polymers and Plastics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gary R. Marchand has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nephrology, 13 papers in Polymers and Plastics and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gary R. Marchand's work include Polymer crystallization and properties (13 papers), Block Copolymer Self-Assembly (10 papers) and Renal function and acid-base balance (10 papers). Gary R. Marchand is often cited by papers focused on Polymer crystallization and properties (13 papers), Block Copolymer Self-Assembly (10 papers) and Renal function and acid-base balance (10 papers). Gary R. Marchand collaborates with scholars based in United States, India and United Kingdom. Gary R. Marchand's co-authors include Richard A. Register, Daniel J. Quiram, Franklyn G. Knox, Douglas H. Adamson, Harold E. Williamson, William A. Bourland, William W. Graessley, R. Greger, E. I. Garcia‐Meitin and Phillip D. Hustad and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Gary R. Marchand

57 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Gary R. Marchand 847 764 526 218 213 58 1.9k
Ling‐Ying Shi 376 0.4× 531 0.7× 238 0.5× 191 0.9× 17 0.1× 71 2.1k
Eiji Masuda 530 0.6× 364 0.5× 570 1.1× 201 0.9× 32 0.2× 50 1.9k
Masato Sakaguchi 668 0.8× 408 0.5× 444 0.8× 270 1.2× 8 0.0× 121 2.4k
Yoshihiro Takebayashi 177 0.2× 477 0.6× 341 0.6× 287 1.3× 12 0.1× 88 2.1k
Peter F. W. Simon 651 0.8× 754 1.0× 862 1.6× 215 1.0× 13 0.1× 64 2.5k
Yuting Song 89 0.1× 358 0.5× 212 0.4× 360 1.7× 30 0.1× 119 2.7k
Hiroshi Ohnuma 114 0.1× 144 0.2× 241 0.5× 102 0.5× 38 0.2× 82 1.6k
Bo Wu 301 0.4× 688 0.9× 192 0.4× 99 0.5× 5 0.0× 102 2.6k
Fengyu Su 564 0.7× 819 1.1× 205 0.4× 164 0.8× 19 0.1× 81 2.5k
Hitoshi Kato 148 0.2× 160 0.2× 99 0.2× 35 0.2× 207 1.0× 164 2.5k

Countries citing papers authored by Gary R. Marchand

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Marchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary R. Marchand

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