A. DeSouza

452 total citations
9 papers, 361 citations indexed

About

A. DeSouza is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, A. DeSouza has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in A. DeSouza's work include Receptor Mechanisms and Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neuropeptides and Animal Physiology (3 papers). A. DeSouza is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neuropeptides and Animal Physiology (3 papers). A. DeSouza collaborates with scholars based in United States and Switzerland. A. DeSouza's co-authors include Richard M. Eglen, Lee A. Flippin, Klaus K. Weinhardt, Douglas W. Bonhaus, D. Fontana, D W Bonhaus, Dana N. Loury, Erik H.F. Wong, Z. P. To and Lyn B. Jakeman and has published in prestigious journals such as Journal of Neuroscience, Journal of Pharmacology and Experimental Therapeutics and Neuropharmacology.

In The Last Decade

A. DeSouza

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. DeSouza United States 6 238 168 62 37 36 9 361
Dominique Françon France 11 232 1.0× 173 1.0× 21 0.3× 24 0.6× 28 0.8× 16 483
Jennifer A. Stark United Kingdom 7 250 1.1× 126 0.8× 80 1.3× 50 1.4× 31 0.9× 7 411
J. J. Galligan United States 12 254 1.1× 244 1.5× 145 2.3× 25 0.7× 78 2.2× 15 651
Sylvester E. Vizi Hungary 8 266 1.1× 176 1.0× 54 0.9× 20 0.5× 26 0.7× 16 417
Anwar Hamdi United States 12 183 0.8× 90 0.5× 77 1.2× 31 0.8× 17 0.5× 20 339
K. Eberle‐Wang United States 10 350 1.5× 159 0.9× 46 0.7× 24 0.6× 26 0.7× 12 428
Alison M. Bratt United Kingdom 10 240 1.0× 123 0.7× 50 0.8× 17 0.5× 31 0.9× 16 375
J. Crist United States 9 248 1.0× 203 1.2× 127 2.0× 16 0.4× 52 1.4× 12 550
B.S.R. Sastry Canada 11 228 1.0× 174 1.0× 37 0.6× 9 0.2× 26 0.7× 14 445
M. F. Wilkinson Canada 9 115 0.5× 47 0.3× 64 1.0× 20 0.5× 61 1.7× 9 355

Countries citing papers authored by A. DeSouza

Since Specialization
Citations

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

Fields of papers citing papers by A. DeSouza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. DeSouza

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

All Works

9 of 9 papers shown
1.
Smith, Richard S., et al.. (2015). Differential Muscarinic Modulation in the Olfactory Bulb. Journal of Neuroscience. 35(30). 10773–10785. 37 indexed citations
2.
Bonhaus, Douglas W., Klaus K. Weinhardt, A. DeSouza, et al.. (1997). RS-102221: A Novel High Affinity and Selective, 5-HT 2C Receptor Antagonist. Neuropharmacology. 36(4-5). 621–629. 207 indexed citations
3.
Bonhaus, Douglas W., Klaus K. Weinhardt, A. DeSouza, et al.. (1997). Biochemical and Behavioral Pharmacology of RS‐102221, a Subtype Selective 5‐HT2c Receptor Antagonist. CNS Drug Reviews. 3(3). 278–293. 1 indexed citations
4.
Hegde, Sharath S., D BONHAUS, William C. Stanley, et al.. (1995). Pharmacological evaluation of 1229U91, a high affinity and selective neuropeptide Y (NPY) - Y1 receptor antagonist. Pharmacological Research. 31. 190–190. 1 indexed citations
5.
Bonhaus, D W, William C. Stanley, Richard M. Eglen, et al.. (1995). Pharmacological evaluation of 1229U91, a novel high-affinity and selective neuropeptide Y-Y1 receptor antagonist.. Journal of Pharmacology and Experimental Therapeutics. 275(3). 1261–1266. 45 indexed citations
6.
Bonhaus, D W, Dana N. Loury, Lyn B. Jakeman, et al.. (1993). [3H]BIMU-1, a 5-hydroxytryptamine3 receptor ligand in NG-108 cells, selectively labels sigma-2 binding sites in guinea pig hippocampus.. Journal of Pharmacology and Experimental Therapeutics. 267(2). 961–970. 50 indexed citations
7.
DeSouza, A., et al.. (1991). The effect of ph and gas composition on the bubble fractionation of proteins. Applied Biochemistry and Biotechnology. 28-29(1). 655–666. 8 indexed citations
8.
DeSouza, A., et al.. (1990). In situ bubble fractionation strategies for separating individual proteins in a batch baker’s yeast fermentation process. Applied Biochemistry and Biotechnology. 24-25(1). 565–578. 3 indexed citations
9.
DeSouza, A., et al.. (1990). Modeling in-situ Protein Separation by Bubble Fractionation in a Baker's Yeast Fermentation Process. Separation Science and Technology. 25(6). 673–687. 9 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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