Peter G. Roma

116 total papers · 2.3k total citations
76 papers, 1.5k citations indexed

About

Peter G. Roma is a scholar working on Social Psychology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Peter G. Roma has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Social Psychology, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Physiology. Recurrent topics in Peter G. Roma's work include Neurotransmitter Receptor Influence on Behavior (17 papers), Spaceflight effects on biology (14 papers) and Sleep and Work-Related Fatigue (14 papers). Peter G. Roma is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (17 papers), Spaceflight effects on biology (14 papers) and Sleep and Work-Related Fatigue (14 papers). Peter G. Roma collaborates with scholars based in United States, Germany and Austria. Peter G. Roma's co-authors include Steven R. Hursh, Anthony L. Riley, Catherine M. Davis, Alan Silberberg, Stephen J. Suomi, Angela Ruggiero, Robert D. Hienz, Derek D. Reed, Kathleen DeCicco-Skinner and Brent A. Kaplan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Child Development.

In The Last Decade

Peter G. Roma

68 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Peter G. Roma 354 303 286 214 200 76 1.5k
Lisiane Bizarro 268 0.8× 141 0.5× 181 0.6× 132 0.6× 212 1.1× 88 1.3k
Margaret C. Wardle 471 1.3× 162 0.5× 341 1.2× 151 0.7× 381 1.9× 69 1.7k
Yu Ohmura 608 1.7× 136 0.4× 251 0.9× 207 1.0× 237 1.2× 67 1.7k
Charles F. Geier 282 0.8× 161 0.5× 157 0.5× 224 1.0× 448 2.2× 61 2.0k
Stephen A. Lisman 216 0.6× 170 0.6× 183 0.6× 402 1.9× 356 1.8× 44 1.4k
Daniel J. Fridberg 267 0.8× 251 0.8× 139 0.5× 229 1.1× 464 2.3× 48 1.9k
Dominique Maciejewski 264 0.7× 344 1.1× 219 0.8× 89 0.4× 211 1.1× 51 2.3k
Diane C. Tucker 215 0.6× 157 0.5× 284 1.0× 110 0.5× 48 0.2× 44 1.8k
Lawrence C. Perlmuter 61 0.2× 272 0.9× 311 1.1× 152 0.7× 191 1.0× 70 2.1k
Joshua C. Gray 174 0.5× 82 0.3× 129 0.5× 293 1.4× 388 1.9× 68 1.7k

Countries citing papers authored by Peter G. Roma

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Roma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter G. Roma

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