Kyle C. Schmitt

16 total papers · 986 total citations
12 papers, 803 citations indexed

About

Kyle C. Schmitt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Kyle C. Schmitt has authored 12 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 1 paper in Pharmacology. Recurrent topics in Kyle C. Schmitt's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (8 papers). Kyle C. Schmitt is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (8 papers). Kyle C. Schmitt collaborates with scholars based in United States, Netherlands and Germany. Kyle C. Schmitt's co-authors include Maarten E. A. Reith, Richard B. Rothman, Janet P. Slovin, Kevin M. Folta, David G. Clark, Thomas A. Colquhoun, Robert C. Schuurink, Joo Young Kim, Aloke K. Dutta and Kymry T. Jones and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Journal of Experimental Botany.

In The Last Decade

Kyle C. Schmitt

12 papers receiving 791 citations

Author Peers

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

Author						Papers	Cites
Kyle C. Schmitt	475	399	113	72	58	12	803
M E Abreu	387 0.8×	413 1.0×	208 1.8×	62 0.9×	82 1.4×	19	919
G. Tunnicliff	379 0.8×	458 1.1×	83 0.7×	80 1.1×	53 0.9×	59	923
Susanne Sommer	490 1.0×	324 0.8×	242 2.1×	59 0.8×	281 4.8×	33	1.0k
Alessandra Porcu	249 0.5×	159 0.4×	58 0.5×	67 0.9×	49 0.8×	25	800
Vincenzo Di Matteo	304 0.6×	562 1.4×	35 0.3×	133 1.8×	73 1.3×	19	899
Ildikó Rácz	304 0.6×	387 1.0×	83 0.7×	283 3.9×	90 1.6×	21	964
Ricardo dos Reis Silveira	327 0.7×	380 1.0×	121 1.1×	130 1.8×	103 1.8×	31	939
T.R.A. Macedo	237 0.5×	247 0.6×	57 0.5×	52 0.7×	131 2.3×	32	873
Filipe Marques Gonçalves	288 0.6×	259 0.6×	80 0.7×	74 1.0×	48 0.8×	25	1.0k
C. Guin Ting Wong	229 0.5×	247 0.6×	183 1.6×	48 0.7×	64 1.1×	6	705

Countries citing papers authored by Kyle C. Schmitt

Since Specialization

Citations

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

Fields of papers citing papers by Kyle C. Schmitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle C. Schmitt. 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 Kyle C. Schmitt. The network helps show where Kyle C. Schmitt may publish in the future.

Co-authorship network of co-authors of Kyle C. Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle C. Schmitt. A scholar is included among the top collaborators of Kyle C. Schmitt 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 Kyle C. Schmitt. Kyle C. Schmitt 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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