Robert J. Mathvink

31 total papers · 1.2k total citations
19 papers, 737 citations indexed

About

Robert J. Mathvink is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robert J. Mathvink has authored 19 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 8 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robert J. Mathvink's work include Receptor Mechanisms and Signaling (8 papers), Radical Photochemical Reactions (7 papers) and Neuropeptides and Animal Physiology (6 papers). Robert J. Mathvink is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Radical Photochemical Reactions (7 papers) and Neuropeptides and Animal Physiology (6 papers). Robert J. Mathvink collaborates with scholars based in United States. Robert J. Mathvink's co-authors include Dale L. Boger, Ann E. Weber, Matthew J. Wyvratt, Mari R. Candelore, Michael H. Fisher, Laurie Tota, Margaret A. Cascieri, Liping Deng, Reshma A. Patel and Frank Marsilio and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Robert J. Mathvink

18 papers receiving 685 citations

Author Peers

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

Author Last Decade Papers Cites
Robert J. Mathvink 506 191 71 66 63 19 737
John P. Yardley 390 0.8× 295 1.5× 32 0.5× 68 1.0× 44 0.7× 32 897
John Colucci 368 0.7× 283 1.5× 17 0.2× 33 0.5× 43 0.7× 22 878
Jason Jacintho 236 0.5× 311 1.6× 26 0.4× 26 0.4× 45 0.7× 11 751
Kinji Iizuka 478 0.9× 282 1.5× 27 0.4× 46 0.7× 57 0.9× 27 858
Rajeev S. Muthyala 263 0.5× 195 1.0× 35 0.5× 57 0.9× 59 0.9× 19 873
Giovannella Strappaghetti 380 0.8× 308 1.6× 16 0.2× 92 1.4× 18 0.3× 42 624
Christer Westerlund 446 0.9× 242 1.3× 18 0.3× 32 0.5× 19 0.3× 31 835
H. Bruderer 255 0.5× 220 1.2× 49 0.7× 227 3.4× 22 0.3× 21 685
Michele Leuenberger 215 0.4× 373 2.0× 62 0.9× 100 1.5× 68 1.1× 16 729
M. Ljunggren 104 0.2× 410 2.1× 100 1.4× 19 0.3× 58 0.9× 14 710

Countries citing papers authored by Robert J. Mathvink

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Mathvink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Mathvink. 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 Robert J. Mathvink. The network helps show where Robert J. Mathvink may publish in the future.

Co-authorship network of co-authors of Robert J. Mathvink

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