Charles E. Inturrisi

29 total papers · 903 total citations
23 papers, 768 citations indexed

About

Charles E. Inturrisi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Charles E. Inturrisi has authored 23 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Charles E. Inturrisi's work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers) and Stress Responses and Cortisol (4 papers). Charles E. Inturrisi is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers) and Stress Responses and Cortisol (4 papers). Charles E. Inturrisi collaborates with scholars based in United States and Sweden. Charles E. Inturrisi's co-authors include Seiji Yamamoto, Claes Wahlestedt, Eugene V. Golanov, D.J. Reis, Frances Yee, Hans Ericson, Shirzad Jenab, Kathryn Elliott, Megumi Shimoyama and Naohito Shimoyama and has published in prestigious journals such as Nature, Biochemical and Biophysical Research Communications and Pain.

In The Last Decade

Charles E. Inturrisi

23 papers receiving 746 citations

Author Peers

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

Author						Papers	Cites
Charles E. Inturrisi	453	426	205	82	52	23	768
Francesca Felicia Caputi	301 0.7×	290 0.7×	195 1.0×	57 0.7×	32 0.6×	39	632
Takashige Nishikawa	310 0.7×	210 0.5×	143 0.7×	112 1.4×	45 0.9×	42	649
K.J. Rogers	423 0.9×	346 0.8×	143 0.7×	83 1.0×	25 0.5×	36	853
Zhi‐Qiang Chi	621 1.4×	471 1.1×	160 0.8×	40 0.5×	32 0.6×	54	892
Yuuichi Hori	410 0.9×	281 0.7×	377 1.8×	55 0.7×	54 1.0×	28	816
Tetsutaro Shinomura	282 0.6×	478 1.1×	184 0.9×	56 0.7×	78 1.5×	34	875
Feifei Liao	303 0.7×	216 0.5×	475 2.3×	68 0.8×	28 0.5×	24	717
Cherkaouia Kibaly	274 0.6×	160 0.4×	293 1.4×	81 1.0×	58 1.1×	15	638
Kelly J. Powell	487 1.1×	256 0.6×	405 2.0×	79 1.0×	76 1.5×	16	769
Tomoya Kitayama	457 1.0×	437 1.0×	239 1.2×	43 0.5×	27 0.5×	46	872

Countries citing papers authored by Charles E. Inturrisi

Since Specialization

Citations

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

Fields of papers citing papers by Charles E. Inturrisi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Inturrisi. 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 Charles E. Inturrisi. The network helps show where Charles E. Inturrisi may publish in the future.

Co-authorship network of co-authors of Charles E. Inturrisi

This figure shows the co-authorship network connecting the top 25 collaborators of Charles E. Inturrisi. A scholar is included among the top collaborators of Charles E. Inturrisi 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 Charles E. Inturrisi. Charles E. Inturrisi 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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