Joseph M. Paris

48 total papers · 735 total citations
28 papers, 631 citations indexed

About

Joseph M. Paris is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Joseph M. Paris has authored 28 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Joseph M. Paris's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (7 papers). Joseph M. Paris is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (13 papers) and Receptor Mechanisms and Signaling (7 papers). Joseph M. Paris collaborates with scholars based in United States, Sweden and Germany. Joseph M. Paris's co-authors include Kathryn A. Cunningham, Nick E. Goeders, Stanley A. Lorens, E.R.S. Ross, Patricia Shinnick‐Gallagher, Patrick Callahan, Jing‐Yu Chang, Steven F. Sawyer, Hiroshi Mitsushio and Donald J. Woodward and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Joseph M. Paris

28 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Joseph M. Paris	491	222	144	90	78	28	631
Giuseppe Giannotti	506 1.0×	199 0.9×	146 1.0×	50 0.6×	78 1.0×	34	645
Cindy Achat‐Mendes	425 0.9×	211 1.0×	137 1.0×	58 0.6×	54 0.7×	21	590
Lisa M. McFadden	498 1.0×	245 1.1×	85 0.6×	211 2.3×	56 0.7×	37	728
Peter R. Kufahl	502 1.0×	209 0.9×	211 1.5×	158 1.8×	47 0.6×	19	652
Masao Fukumura	436 0.9×	81 0.4×	145 1.0×	133 1.5×	100 1.3×	25	675
Yoko Hagino	536 1.1×	308 1.4×	157 1.1×	30 0.3×	77 1.0×	46	774
Kristin M. Wilcox	540 1.1×	254 1.1×	120 0.8×	100 1.1×	59 0.8×	19	632
Daniel F. Manvich	385 0.8×	183 0.8×	135 0.9×	25 0.3×	60 0.8×	20	575
B. E. Jones	372 0.8×	147 0.7×	165 1.1×	43 0.5×	63 0.8×	30	702
Ernest N. Damianopoulos	609 1.2×	228 1.0×	234 1.6×	29 0.3×	40 0.5×	40	711

Countries citing papers authored by Joseph M. Paris

Since Specialization

Citations

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

Fields of papers citing papers by Joseph M. Paris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Paris. 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 Joseph M. Paris. The network helps show where Joseph M. Paris may publish in the future.

Co-authorship network of co-authors of Joseph M. Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Paris. A scholar is included among the top collaborators of Joseph M. Paris 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 Joseph M. Paris. Joseph M. Paris 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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