Paul Madtes

487 total citations
25 papers, 439 citations indexed

About

Paul Madtes is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Paul Madtes has authored 25 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 4 papers in Behavioral Neuroscience. Recurrent topics in Paul Madtes's work include Neuroscience and Neuropharmacology Research (20 papers), Photoreceptor and optogenetics research (13 papers) and Retinal Development and Disorders (7 papers). Paul Madtes is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Photoreceptor and optogenetics research (13 papers) and Retinal Development and Disorders (7 papers). Paul Madtes collaborates with scholars based in United States, Spain and South Korea. Paul Madtes's co-authors include Dianna A. Redburn, James S. King, F.V. DeFeudis, Georgia A. Bishop, Marı̀a Rosa de Sagarra, Gloria Balfagón, Eugene Somoza, Ruben Adler, Richard W. Burry and Gerald J. Chader and has published in prestigious journals such as The Journal of Comparative Neurology, Journal of Neurochemistry and Cellular and Molecular Life Sciences.

In The Last Decade

Paul Madtes

25 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Madtes United States 13 344 248 65 65 49 25 439
Ruth M. McKernan United Kingdom 6 521 1.5× 396 1.6× 29 0.4× 31 0.5× 29 0.6× 8 613
G. C. Wilkin United Kingdom 9 384 1.1× 251 1.0× 22 0.3× 46 0.7× 104 2.1× 11 537
E. H. Jaffé Venezuela 13 418 1.2× 245 1.0× 26 0.4× 20 0.3× 64 1.3× 26 534
F. Guilloux 8 371 1.1× 217 0.9× 80 1.2× 16 0.2× 64 1.3× 8 539
Annelies Resink Netherlands 13 326 0.9× 258 1.0× 38 0.6× 82 1.3× 73 1.5× 15 554
Ruggero Serafini United States 13 650 1.9× 340 1.4× 21 0.3× 129 2.0× 51 1.0× 20 773
A Brancati Italy 9 313 0.9× 199 0.8× 55 0.8× 12 0.2× 43 0.9× 28 437
Satoshi Kurumiya Japan 10 204 0.6× 140 0.6× 43 0.7× 20 0.3× 51 1.0× 13 398
Charles F. Zorumski United States 9 450 1.3× 379 1.5× 31 0.5× 26 0.4× 49 1.0× 10 553
M. H. Selina Mok United Kingdom 10 281 0.8× 275 1.1× 28 0.4× 24 0.4× 42 0.9× 10 462

Countries citing papers authored by Paul Madtes

Since Specialization
Citations

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

Fields of papers citing papers by Paul Madtes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Madtes

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

All Works

20 of 20 papers shown
1.
Madtes, Paul, Kyung-Hoon Lee, James S. King, & Richard W. Burry. (2004). Corticotropin releasing factor enhances survival of cultured GABAergic cerebellar neurons after exposure to a neurotoxin. Developmental Brain Research. 151(1-2). 119–128. 12 indexed citations
2.
Madtes, Paul & James S. King. (1999). The temporal and spatial development of CRF binding sites in the postnatal mouse cerebellum. Neuroscience Research. 34(1). 45–50. 15 indexed citations
3.
King, James S., et al.. (1997). Chapter 4 The distribution of corticotropin-releasing factor (CRF), CRF binding sites and CRF1 receptor mRNA in the mouse cerebellum. Progress in brain research. 114. 55–66. 39 indexed citations
4.
Madtes, Paul & James S. King. (1996). The temporal and spatial development of corticotropin-releasing factor (CRF) binding sites and CRF afferents in the opossum cerebellum. Journal of Chemical Neuroanatomy. 11(4). 231–241. 3 indexed citations
5.
Madtes, Paul & James S. King. (1995). Distribution of corticotropin-releasing factor (CRF) binding sites in the opossum cerebellum. Neuropeptides. 28(1). 51–58. 7 indexed citations
6.
Madtes, Paul & James S. King. (1994). Distribution of cholecystokinin binding sites in the North American opossum cerebellum. Journal of Chemical Neuroanatomy. 7(1-2). 105–112. 4 indexed citations
7.
Madtes, Paul, et al.. (1989). Sensitivity of GABA-displaceable [3H]muscimol binding depends upon the composition of the buffering medium. Neurochemistry International. 15(2). 179–183. 3 indexed citations
8.
Redburn, Dianna A. & Paul Madtes. (1987). GABA — Its role and development in retina. 6. 69–84. 18 indexed citations
9.
Madtes, Paul, et al.. (1986). Maximal GABA and muscimol binding to high-affinity sites differ in physiological and in non-physiological buffers. Neurochemistry International. 8(2). 223–227. 4 indexed citations
10.
Madtes, Paul & Ruben Adler. (1985). Development of muscimol binding sites in chick embryo neural retina in vivo and in vitro: Regulatory effects of cyclic AMP. International Journal of Developmental Neuroscience. 3(5). 511–515. 7 indexed citations
11.
Madtes, Paul. (1984). Chloride Ions Preferentially Mask High‐Affinity GABA Binding Sites. Journal of Neurochemistry. 43(5). 1434–1437. 14 indexed citations
12.
Madtes, Paul & Dianna A. Redburn. (1983). GABA as a trophic factor during development. Life Sciences. 33(10). 979–984. 82 indexed citations
13.
Madtes, Paul & Dianna A. Redburn. (1983). Intraocular injections of nipecotic acid produce a preferential block of neuronal 3H-GABA accumulation in adult rabbit retina.. PubMed. 24(7). 886–92. 4 indexed citations
14.
Madtes, Paul & Dianna A. Redburn. (1983). Synaptic interactions in the GABA system during postnatal development in retina. Brain Research Bulletin. 10(6). 741–745. 33 indexed citations
15.
Madtes, Paul & Dianna A. Redburn. (1982). [3H]GABA binding in developing rabbit retina. Neurochemical Research. 7(4). 495–503. 17 indexed citations
16.
DeFeudis, F.V., et al.. (1977). ‘Binding’ of glycine andγ-aminobutyric acid to synaptosomal fractions of 6 regions of the feline brain; effects of strychnine. Cellular and Molecular Life Sciences. 33(3). 340–342. 12 indexed citations
17.
Madtes, Paul, et al.. (1976). ‘Binding’ of glutamate and aspartate to synaptosomal fractions of six regions of the feline brain. Cellular and Molecular Life Sciences. 32(8). 1014–1015. 1 indexed citations
18.
DeFeudis, F.V., et al.. (1976). Binding of glycine and γ-aminobutyric acid to synaptosomal fractions of the brains of differentially-housed mice. Experimental Neurology. 50(1). 207–213. 15 indexed citations
19.
20.
DeFeudis, F.V., et al.. (1975). Action of N-methyl-bicuculline on the binding of γ-aminobutyric acid to a synaptosomal fraction of rat cerebral cortex. Experimental Neurology. 49(2). 497–505. 33 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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