David G. Trist

105 total papers · 1.9k total citations
62 papers, 1.5k citations indexed

About

David G. Trist is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, David G. Trist has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in David G. Trist's work include Receptor Mechanisms and Signaling (25 papers), Neuropeptides and Animal Physiology (18 papers) and Neuroscience and Neuropharmacology Research (18 papers). David G. Trist is often cited by papers focused on Receptor Mechanisms and Signaling (25 papers), Neuropeptides and Animal Physiology (18 papers) and Neuroscience and Neuropharmacology Research (18 papers). David G. Trist collaborates with scholars based in Italy, United Kingdom and United States. David G. Trist's co-authors include Emiliangelo Ratti, Claudio Pietra, Stéfano Palea, Walter Artibani, Edoardo Ostardo, M. Corsi, Francesco Crespi, G. Gaviraghi, Mauro Corsi and Manolo Mugnaini and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Medicinal Chemistry and The Journal of Urology.

In The Last Decade

David G. Trist

62 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
David G. Trist 624 598 265 181 169 62 1.5k
Luís M. Orensanz 357 0.6× 309 0.5× 271 1.0× 209 1.2× 169 1.0× 64 1.1k
N Ambache 601 1.0× 635 1.1× 220 0.8× 442 2.4× 134 0.8× 59 1.8k
Chunmei Xia 177 0.3× 447 0.7× 68 0.3× 264 1.5× 158 0.9× 58 1.4k
Peter E. Hicks 433 0.7× 595 1.0× 62 0.2× 360 2.0× 94 0.6× 49 1.1k
Joel R. Gever 301 0.5× 683 1.1× 278 1.0× 281 1.6× 313 1.9× 33 1.6k
John M. Schaus 641 1.0× 503 0.8× 64 0.2× 150 0.8× 104 0.6× 50 1.6k
Jennifer L. Short 427 0.7× 396 0.7× 50 0.2× 204 1.1× 61 0.4× 56 1.3k
C. Garret 1.2k 1.9× 928 1.6× 75 0.3× 404 2.2× 53 0.3× 59 1.6k
Carmen Muñoz 599 1.0× 425 0.7× 35 0.1× 157 0.9× 332 2.0× 46 1.7k
Stéphane Doly 882 1.4× 617 1.0× 23 0.1× 343 1.9× 108 0.6× 43 1.6k

Countries citing papers authored by David G. Trist

Since Specialization
Citations

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

Fields of papers citing papers by David G. Trist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Trist. 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 David G. Trist. The network helps show where David G. Trist may publish in the future.

Co-authorship network of co-authors of David G. Trist

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Trist. A scholar is included among the top collaborators of David G. Trist 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 David G. Trist. David G. Trist 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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2026