Daniel F. Manvich

33 total papers · 819 total citations
20 papers, 575 citations indexed

About

Daniel F. Manvich is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Daniel F. Manvich has authored 20 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Daniel F. Manvich's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Receptor Mechanisms and Signaling (5 papers) and Stress Responses and Cortisol (4 papers). Daniel F. Manvich is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Receptor Mechanisms and Signaling (5 papers) and Stress Responses and Cortisol (4 papers). Daniel F. Manvich collaborates with scholars based in United States, Singapore and Canada. Daniel F. Manvich's co-authors include David Weinshenker, Stephanie L. Foster, Leonard L. Howell, Kevin A. Webster, Martilias S. Farrell, Joseph H. Porter, James Ritchie, Heather L. Kimmel, M. J. Kuhar and George W. Hubert and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biological Psychiatry.

In The Last Decade

Daniel F. Manvich

19 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Daniel F. Manvich	385	183	135	72	71	20	575
Valentina Licheri	317 0.8×	140 0.8×	116 0.9×	63 0.9×	59 0.8×	22	518
Caleb J. Browne	312 0.8×	243 1.3×	113 0.8×	74 1.0×	85 1.2×	31	652
Yukie Kawahara	406 1.1×	209 1.1×	157 1.2×	106 1.5×	71 1.0×	24	682
Giuseppe Giannotti	506 1.3×	199 1.1×	146 1.1×	61 0.8×	59 0.8×	34	645
Oleg Granstrem	282 0.7×	194 1.1×	119 0.9×	64 0.9×	95 1.3×	27	646
Anna Tchenio	408 1.1×	166 0.9×	166 1.2×	63 0.9×	91 1.3×	13	589
Stephanie M. Perez	343 0.9×	175 1.0×	206 1.5×	74 1.0×	93 1.3×	26	688
Joseph M. Paris	491 1.3×	222 1.2×	144 1.1×	39 0.5×	55 0.8×	28	631
María Pía Arolfo	378 1.0×	216 1.2×	238 1.8×	65 0.9×	42 0.6×	24	694
Lauren M. Burgeno	418 1.1×	229 1.3×	179 1.3×	54 0.8×	115 1.6×	11	663

Countries citing papers authored by Daniel F. Manvich

Since Specialization

Citations

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

Fields of papers citing papers by Daniel F. Manvich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Manvich. 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 Daniel F. Manvich. The network helps show where Daniel F. Manvich may publish in the future.

Co-authorship network of co-authors of Daniel F. Manvich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Manvich. A scholar is included among the top collaborators of Daniel F. Manvich 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 Daniel F. Manvich. Daniel F. Manvich 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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