Matthew Schreiber

705 total citations
10 papers, 547 citations indexed

About

Matthew Schreiber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Schreiber has authored 10 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Schreiber's work include Ion channel regulation and function (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Matthew Schreiber is often cited by papers focused on Ion channel regulation and function (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Matthew Schreiber collaborates with scholars based in United States. Matthew Schreiber's co-authors include Lawrence Salkoff, Alex Yuan, Joseph P. Gaut, Aguan Wei, Mitsuyoshi Saito, Steven L. McIntire, Colin G. Nichols, Michelle Dourado, Wade L. Pearson and Debby W. Tsuang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and The Journal of Physiology.

In The Last Decade

Matthew Schreiber

10 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew Schreiber United States	9	382	201	157	76	73	10	547
Qiong‐Yao Tang China	11	305 0.8×	201 1.0×	120 0.8×	36 0.5×	7 0.1×	27	413
Heena V. Lad United Kingdom	8	126 0.3×	59 0.3×	34 0.2×	25 0.3×	7 0.1×	9	328
Manana Sukhareva United States	13	991 2.6×	531 2.6×	479 3.1×	17 0.2×	8 0.1×	17	1.2k
P. L. Tang Hong Kong	18	128 0.3×	172 0.9×	27 0.2×	40 0.5×	18 0.2×	26	720
Nicole R. Sullivan United States	13	127 0.3×	152 0.8×	13 0.1×	22 0.3×	8 0.1×	17	423
Katrina L. Kelner United States	12	147 0.4×	83 0.4×	7 0.0×	44 0.6×	11 0.2×	27	410
Ezequiel Morales Mexico	12	238 0.6×	240 1.2×	43 0.3×	63 0.8×		14	413
Jean-Claude do-Rego France	13	335 0.9×	358 1.8×	22 0.1×	78 1.0×	5 0.1×	20	575
Shu-qun Shi United States	8	199 0.5×	81 0.4×	12 0.1×	13 0.2×	68 0.9×	15	740
Robin K. Cloues United States	10	230 0.6×	262 1.3×	58 0.4×	30 0.4×	3 0.0×	11	438

Countries citing papers authored by Matthew Schreiber

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Schreiber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Schreiber. A scholar is included among the top collaborators of Matthew Schreiber 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 Schreiber. Matthew Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Schreiber, Matthew, et al.. (2019). Psychotropic Medication Monitoring. The Primary Care Companion For CNS Disorders. 21(1). 5 indexed citations

Tripp, Erin A., et al.. (2018). Evolutionary and ecological drivers of plant flavonoids across a large latitudinal gradient. Molecular Phylogenetics and Evolution. 128. 147–161. 29 indexed citations

Schreiber, Matthew, Thomas D. Bird, & Debby W. Tsuang. (2014). Alzheimer’s Disease Genetics. Current Behavioral Neuroscience Reports. 1(4). 191–196. 18 indexed citations

Schreiber, Matthew, Michael O. Dorschner, & Debby W. Tsuang. (2013). Next‐generation sequencing in schizophrenia and other neuropsychiatric disorders. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(7). 671–678. 24 indexed citations

Schreiber, Matthew & Steven L. McIntire. (2011). A Caenorhabditis elegans p38 MAP kinase pathway mutant protects from dopamine, methamphetamine, and MDMA toxicity. Neuroscience Letters. 498(1). 99–103. 14 indexed citations

Schreiber, Matthew, et al.. (2010). Manipulation of Behavioral Decline in Caenorhabditis elegans with the Rag GTPase raga-1. PLoS Genetics. 6(5). e1000972–e1000972. 60 indexed citations

Schreiber, Matthew, Alex Yuan, & Lawrence Salkoff. (1999). Transplantable sites confer calcium sensitivity to BK channels. Nature Neuroscience. 2(5). 416–421. 112 indexed citations

Pearson, Wade L., Michelle Dourado, Matthew Schreiber, Lawrence Salkoff, & Colin G. Nichols. (1999). Expression of a functional Kir4 family inward rectifier K⁺ channel from a gene cloned from mouse liver. The Journal of Physiology. 514(3). 639–653. 70 indexed citations

Schreiber, Matthew, Aguan Wei, Alex Yuan, et al.. (1998). Slo3, a Novel pH-sensitive K+ Channel from Mammalian Spermatocytes. Journal of Biological Chemistry. 273(6). 3509–3516. 197 indexed citations

10.

Nash, J. Frank, Ramesh Arora, Matthew Schreiber, & Herbert Y. Meltzer. (1991). Effect of 3,4-methylenedioxymethamphetamine on [3H]paroxetine binding in the frontal cortex and blood platelets of rats. Biochemical Pharmacology. 41(1). 79–84. 18 indexed citations

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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