Matthew G. Solomon

21 total papers · 530 total citations
15 papers, 432 citations indexed

About

Matthew G. Solomon is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Neurology. According to data from OpenAlex, Matthew G. Solomon has authored 15 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 5 papers in Behavioral Neuroscience and 4 papers in Neurology. Recurrent topics in Matthew G. Solomon's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Stress Responses and Cortisol (5 papers) and Neuropeptides and Animal Physiology (5 papers). Matthew G. Solomon is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Stress Responses and Cortisol (5 papers) and Neuropeptides and Animal Physiology (5 papers). Matthew G. Solomon collaborates with scholars based in United States, Germany and Sweden. Matthew G. Solomon's co-authors include Markus Heilig, Jesse R. Schank, Jenica D. Tapocik, Shimon Amir, Zalman Amit, Estelle Barbier, Courtney King, Meghan E. Flanigan, Hui Sun and William C. Griffin and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Biological Psychiatry.

In The Last Decade

Matthew G. Solomon

15 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Matthew G. Solomon	230	175	76	76	70	15	432
Pascal Bielefeld	133 0.6×	187 1.1×	92 1.2×	80 1.1×	95 1.4×	18	493
Paulina S. Rojas	195 0.8×	120 0.7×	125 1.6×	33 0.4×	42 0.6×	14	415
Ji-Seon Seo	94 0.4×	156 0.9×	56 0.7×	57 0.8×	55 0.8×	9	374
Yingchun Shang	95 0.4×	156 0.9×	64 0.8×	118 1.6×	37 0.5×	17	443
Thomas Berger	230 1.0×	184 1.1×	46 0.6×	55 0.7×	41 0.6×	7	435
Aleta Cebere	267 1.2×	208 1.2×	67 0.9×	95 1.3×	15 0.2×	18	495
Chunrui Yang	170 0.7×	147 0.8×	108 1.4×	38 0.5×	18 0.3×	18	462
Emmanuel Cruz	176 0.8×	130 0.7×	64 0.8×	124 1.6×	19 0.3×	13	447
Sydney Aten	117 0.5×	166 0.9×	32 0.4×	63 0.8×	117 1.7×	19	411
Nadine Crouzin	123 0.5×	123 0.7×	34 0.4×	60 0.8×	35 0.5×	16	412

Countries citing papers authored by Matthew G. Solomon

Since Specialization

Citations

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

Fields of papers citing papers by Matthew G. Solomon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew G. Solomon

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