Robert J. Mather

2.3k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Robert J. Mather is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Robert J. Mather has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Robert J. Mather's work include Ion channel regulation and function (8 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Receptor Mechanisms and Signaling (3 papers). Robert J. Mather is often cited by papers focused on Ion channel regulation and function (8 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Receptor Mechanisms and Signaling (3 papers). Robert J. Mather collaborates with scholars based in United States, United Kingdom and Sweden. Robert J. Mather's co-authors include Douglas C. Hanson, Stephan Grissmer, George A. Gutman, Jayashree Aiyar, K. George Chandy, A. N. Nguyen, Michael J. Karmilowicz, D. D. Auperin, Raymond S Hurst and Steven B. Sands and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Robert J. Mather

20 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pharmacological characterization of five cloned voltage-gated K+ channels, types Kv1.1, 1.2, 1.3, 1.5, and 3.1, stably expressed in mammalian cell lines.

1994 692 citations Stephan Grissmer, A. N. Nguyen et al. Molecular Pharmacology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Mather United States	15	1.4k	780	367	312	159	20	1.7k
Richard L. Kraus United States	19	1.5k 1.1×	903 1.2×	365 1.0×	264 0.8×	166 1.0×	33	2.0k
Reid J. Leonard United States	16	1.9k 1.4×	951 1.2×	532 1.4×	204 0.7×	190 1.2×	18	2.3k
Stefan McDonough United States	24	1.3k 1.0×	634 0.8×	154 0.4×	265 0.8×	249 1.6×	34	1.7k
Dorte Strøbæk Denmark	27	1.9k 1.4×	1.2k 1.5×	886 2.4×	307 1.0×	74 0.5×	40	2.4k
Alexandra Koschak Austria	20	2.3k 1.7×	1.6k 2.1×	741 2.0×	260 0.8×	111 0.7×	23	2.9k
Per-Eric Lund Sweden	19	907 0.7×	341 0.4×	101 0.3×	242 0.8×	160 1.0×	41	1.6k
Andrea L. Bauman United States	15	1.3k 0.9×	988 1.3×	226 0.6×	154 0.5×	102 0.6×	15	2.1k
Masayasu Kojima Japan	7	1.7k 1.3×	1.1k 1.4×	426 1.2×	801 2.6×	76 0.5×	11	3.0k
Claudia Gargini Italy	26	1.5k 1.1×	903 1.2×	125 0.3×	157 0.5×	55 0.3×	74	2.1k
Aaron C. Gerlach United States	16	747 0.5×	499 0.6×	293 0.8×	156 0.5×	63 0.4×	22	1.1k

Countries citing papers authored by Robert J. Mather

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Mather

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Mather. 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 Robert J. Mather. The network helps show where Robert J. Mather may publish in the future.

Co-authorship network of co-authors of Robert J. Mather

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

All Works

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20 of 20 papers shown

Crouthamel, Michelle, Robert J. Mather, Luis Garcia‐Gancedo, et al.. (2021). Developing a Novel Measurement of Sleep in Rheumatoid Arthritis: Study Proposal for Approach and Considerations. SHILAP Revista de lepidopterología. 5(3). 191–205. 4 indexed citations

Kenny, Paul J., Theodore M. Kamenecka, George Voren, et al.. (2018). 11. Orexin-1 Receptor Antagonists as Novel Smoking Cessation Agents. Biological Psychiatry. 83(9). S4–S5. 1 indexed citations

Vien, Thuy N., Thomas M. Hyde, Robert J. Mather, et al.. (2017). Deficits in the activity of presynaptic γ-aminobutyric acid type B receptors contribute to altered neuronal excitability in fragile X syndrome. Journal of Biological Chemistry. 292(16). 6621–6632. 42 indexed citations

Lassi, Glenda, Amy E. Taylor, Nicholas J. Timpson, et al.. (2016). The CHRNA5–A3–B4 Gene Cluster and Smoking: From Discovery to Therapeutics. Trends in Neurosciences. 39(12). 851–861. 54 indexed citations

Sivakumaran, Sudhir, Ross A. Cardarelli, Jamie Maguire, et al.. (2015). Selective Inhibition of KCC2 Leads to Hyperexcitability and Epileptiform Discharges in Hippocampal Slices andIn Vivo. Journal of Neuroscience. 35(21). 8291–8296. 77 indexed citations

Kaindlstorfer, Christine, Biljana Georgievska, Robert J. Mather, et al.. (2015). Failure of Neuroprotection Despite Microglial Suppression by Delayed-Start Myeloperoxidase Inhibition in a Model of Advanced Multiple System Atrophy: Clinical Implications. Neurotoxicity Research. 28(3). 185–194. 35 indexed citations

McNeish, John, Marsha L. Roach, John Hambor, et al.. (2010). High-throughput Screening in Embryonic Stem Cell-derived Neurons Identifies Potentiators of α-Amino-3-hydroxyl-5-methyl-4-isoxazolepropionate-type Glutamate Receptors. Journal of Biological Chemistry. 285(22). 17209–17217. 52 indexed citations

O’Donnell, Christopher J., Brian T. O’Neill, Eric P. Arnold, et al.. (2009). Synthesis and SAR studies of 1,4-diazabicyclo[3.2.2]nonane phenyl carbamates – subtype selective, high affinity α7 nicotinic acetylcholine receptor agonists. Bioorganic & Medicinal Chemistry Letters. 19(16). 4747–4751. 11 indexed citations

Rollema, Hans, Leslie K. Chambers, J.W. Coe, et al.. (2006). Pharmacological profile of the α4β2 nicotinic acetylcholine receptor partial agonist varenicline, an effective smoking cessation aid. Neuropharmacology. 52(3). 985–994. 446 indexed citations

10.

Walton, Kevin M., Janice E. Chin, Allen J. Duplantier, & Robert J. Mather. (2006). Galanin function in the central nervous system.. PubMed. 9(5). 560–70. 18 indexed citations

11.

Hanson, Douglas C., Paul C. Canniff, Michael J. Primiano, et al.. (2004). Preclinical in vitro characterization of anti-CTLA4 therapeutic antibody CP-675,206.. Cancer Research. 64. 877–877. 30 indexed citations

12.

Hanson, Douglas C., Angela Nguyen, Robert J. Mather, et al.. (1999). UK‐78,282, a novel piperidine compound that potently blocks the Kv1.3 voltage‐gated potassium channel and inhibits human T cell activation. British Journal of Pharmacology. 126(8). 1707–1716. 62 indexed citations

13.

Smock, Steven L., et al.. (1999). Cloning, structural characterization, and chromosomal localization of the gene encoding the human prostaglandin E2 receptor EP2 subtype. Gene. 237(2). 393–402. 17 indexed citations

14.

Burgess, Laurence E., Kevin M. Koch, Kelvin Cooper, et al.. (1997). The SAR of UK-78,282: A novel blocker of human T cell Kv1.3 potassium channels. Bioorganic & Medicinal Chemistry Letters. 7(8). 1047–1052. 17 indexed citations

15.

Nguyen, Angela, John C. Kath, Douglas C. Hanson, et al.. (1996). Novel nonpeptide agents potently block the C-type inactivated conformation of Kv1.3 and suppress T cell activation.. Molecular Pharmacology. 50(6). 1672–1679. 93 indexed citations

16.

Grissmer, Stephan, A. N. Nguyen, Jayashree Aiyar, et al.. (1994). Pharmacological characterization of five cloned voltage-gated K+ channels, types Kv1.1, 1.2, 1.3, 1.5, and 3.1, stably expressed in mammalian cell lines.. Molecular Pharmacology. 45(6). 1227–1234. 692 indexed citations breakdown →

17.

Nguyen, A. N., Stephan Grissmer, Douglas C. Hanson, et al.. (1994). Pharmacological characterization of five cloned voltage-gated K+ channels, Kv11, Kv12, Kv13, Kv15, and Kv31, stably expressed in mammalian cell lines. 2. 106. 3 indexed citations

18.

Simmons, Mark A. & Robert J. Mather. (1992). Intracellular guanosine-5'-O-(2-thiodiphosphate) alters the dynamics of receptor-mediated responses in bullfrog sympathetic neurons.. Molecular Pharmacology. 41(3). 527–534. 11 indexed citations

19.

Kirkwood, Alfredo, Mark A. Simmons, Robert J. Mather, & John Lisman. (1991). Muscarinic suppression of the M-current is mediated by a rise in internal Ca2+ concentration. Neuron. 6(6). 1009–1014. 55 indexed citations

20.

Simmons, Mark A., et al.. (1990). Desensitization of the inhibition of the M-current in sympathetic neurons: Effects of ATP analogs, polyanions, and multiple agonist applications. Neuron. 4(4). 557–562. 28 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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