Dean D. Schwartz

64 total papers · 1.1k total citations
45 papers, 899 citations indexed

About

Dean D. Schwartz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Dean D. Schwartz has authored 45 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Dean D. Schwartz's work include Receptor Mechanisms and Signaling (6 papers), Anesthesia and Sedative Agents (6 papers) and Ion channel regulation and function (5 papers). Dean D. Schwartz is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Anesthesia and Sedative Agents (6 papers) and Ion channel regulation and function (5 papers). Dean D. Schwartz collaborates with scholars based in United States and Germany. Dean D. Schwartz's co-authors include Kafait U. Malik, Terrence P. Clark, Nobuo Katsube, Philip Needleman, Douglas C. Eikenburg, Robert J. Kemppainen, Robert L. Judd, Christian R. Goldsmith, Gordon Fisher and John C. Quindry and has published in prestigious journals such as Journal of the American Chemical Society, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Dean D. Schwartz

45 papers receiving 868 citations

Author Peers

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

Author						Papers	Cites
Dean D. Schwartz	311	179	158	134	76	45	899
Serge Richard	224 0.7×	92 0.5×	228 1.4×	63 0.5×	43 0.6×	36	870
Lambertus Benthem	188 0.6×	278 1.6×	61 0.4×	155 1.2×	159 2.1×	38	797
Richard Roberts	239 0.8×	275 1.5×	120 0.8×	125 0.9×	59 0.8×	61	841
Hiromi Yamamoto	270 0.9×	105 0.6×	301 1.9×	32 0.2×	72 0.9×	89	1.0k
David J. Sanders	118 0.4×	90 0.5×	57 0.4×	96 0.7×	38 0.5×	53	737
Wenjun Zhao	298 1.0×	302 1.7×	60 0.4×	69 0.5×	33 0.4×	39	873
Katarzyna Kaczyńska	326 1.0×	198 1.1×	47 0.3×	177 1.3×	165 2.2×	68	986
Judit Zsuga	316 1.0×	200 1.1×	94 0.6×	53 0.4×	56 0.7×	64	976
James S. Polakowski	405 1.3×	134 0.7×	172 1.1×	147 1.1×	19 0.3×	39	899
María Pilar Arruebo	267 0.9×	111 0.6×	38 0.2×	80 0.6×	42 0.6×	50	704

Countries citing papers authored by Dean D. Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Dean D. Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean D. Schwartz. 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 Dean D. Schwartz. The network helps show where Dean D. Schwartz may publish in the future.

Co-authorship network of co-authors of Dean D. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Dean D. Schwartz. A scholar is included among the top collaborators of Dean D. Schwartz 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 Dean D. Schwartz. Dean D. Schwartz 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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