Robert J. Cassell

23 total papers · 701 total citations
15 papers, 528 citations indexed

About

Robert J. Cassell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Robert J. Cassell has authored 15 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Robert J. Cassell's work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). Robert J. Cassell is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). Robert J. Cassell collaborates with scholars based in United States and China. Robert J. Cassell's co-authors include Richard M. van Rijn, James M. Holton, Martine F. Roussel, Brenda A. Schulman, Rose Mathew, Danny T. Huang, David W. Miller, Michael K. Wendt, Dongwook Kim and Aktan Alpsoy and has published in prestigious journals such as Journal of the American Chemical Society, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Robert J. Cassell

15 papers receiving 522 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. Cassell 408 163 78 65 65 15 528
Silvi Luell 266 0.7× 52 0.3× 106 1.4× 56 0.9× 25 0.4× 21 591
Marco Landwehr 391 1.0× 134 0.8× 51 0.7× 26 0.4× 130 2.0× 11 550
Aladdin Riad 340 0.8× 117 0.7× 45 0.6× 62 1.0× 24 0.4× 24 527
Eckhard Bender 390 1.0× 179 1.1× 22 0.3× 41 0.6× 19 0.3× 12 582
Mitsue Miyazaki 161 0.4× 118 0.7× 41 0.5× 76 1.2× 75 1.2× 27 584
Ravi Kumar Verma 397 1.0× 193 1.2× 16 0.2× 28 0.4× 55 0.8× 27 499
Kelli Solly 284 0.7× 97 0.6× 22 0.3× 48 0.7× 25 0.4× 13 496
Bernhard König 371 0.9× 64 0.4× 31 0.4× 92 1.4× 15 0.2× 19 567
Matthew S. Cowlen 232 0.6× 53 0.3× 27 0.3× 38 0.6× 19 0.3× 14 527
Margaret E. McCann 238 0.6× 46 0.3× 61 0.8× 76 1.2× 26 0.4× 19 549

Countries citing papers authored by Robert J. Cassell

Since Specialization
Citations

This map shows the geographic impact of Robert J. Cassell'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. Cassell 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. Cassell more than expected).

Fields of papers citing papers by Robert J. Cassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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