Victor Garza

886 total citations
20 papers, 602 citations indexed

About

Victor Garza is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Victor Garza has authored 20 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Victor Garza's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Victor Garza is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Victor Garza collaborates with scholars based in United States and China. Victor Garza's co-authors include Jean Logan, Colleen Shea, Joanna S. Fowler, Yu‐Shin Ding, Nora D. Volkow, Payton King, David Alexoff, Gene‐Jack Wang, Youwen Xu and Dinko Franceschi and has published in prestigious journals such as American Journal of Psychiatry, Journal of Neurochemistry and PLoS Pathogens.

In The Last Decade

Victor Garza

20 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Garza United States 16 285 251 104 75 69 20 602
Peter Ström Sweden 13 349 1.2× 313 1.2× 47 0.5× 51 0.7× 108 1.6× 23 772
C. Malgouris France 15 660 2.3× 455 1.8× 97 0.9× 66 0.9× 62 0.9× 25 947
Dirk Sauer Switzerland 17 365 1.3× 305 1.2× 203 2.0× 46 0.6× 101 1.5× 18 901
Marina Alesiani Italy 10 517 1.8× 357 1.4× 118 1.1× 40 0.5× 22 0.3× 12 925
Agnete Dyssegaard Denmark 15 462 1.6× 230 0.9× 59 0.6× 68 0.9× 138 2.0× 32 912
Krystyna Missala Canada 15 237 0.8× 186 0.7× 61 0.6× 62 0.8× 45 0.7× 32 585
P. E. SETLER United States 10 398 1.4× 285 1.1× 65 0.6× 47 0.6× 14 0.2× 13 639
Isobel M. Ritchie United Kingdom 19 337 1.2× 185 0.7× 75 0.7× 143 1.9× 49 0.7× 34 836
Alexander Mdzinarishvili United States 12 213 0.7× 231 0.9× 96 0.9× 55 0.7× 12 0.2× 21 832
Donna L. Maier United States 13 295 1.0× 276 1.1× 31 0.3× 86 1.1× 112 1.6× 21 725

Countries citing papers authored by Victor Garza

Since Specialization
Citations

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

Fields of papers citing papers by Victor Garza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Garza

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Garza. A scholar is included among the top collaborators of Victor Garza 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 Victor Garza. Victor Garza 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.
2.
Kumar, Ritesh, et al.. (2022). Modulation of the extracellular matrix by Streptococcus gallolyticus subsp. gallolyticus and importance in cell proliferation. PLoS Pathogens. 18(10). e1010894–e1010894. 7 indexed citations
3.
Fowler, Joanna S., Jean Logan, Gene‐Jack Wang, et al.. (2005). Comparison of monoamine oxidase a in peripheral organs in nonsmokers and smokers.. PubMed. 46(9). 1414–20. 36 indexed citations
4.
5.
Ding, Yu‐Shin, S. John Gatley, Panayotis K. Thanos, et al.. (2004). Brain kinetics of methylphenidate (Ritalin) enantiomers after oral administration. Synapse. 53(3). 168–175. 37 indexed citations
6.
Fowler, Joanna S., Jean Logan, Gene‐Jack Wang, et al.. (2004). Comparison of the binding of the irreversible monoamine oxidase tracers, [11C]clorgyline and [11C]l-deprenyl in brain and peripheral organs in humans. Nuclear Medicine and Biology. 31(3). 313–319. 28 indexed citations
7.
Ding, Yu‐Shin, Kuo‐Shyan Lin, Victor Garza, et al.. (2003). Evaluation of a new norepinephrine transporter PET ligand in baboons, both in brain and peripheral organs. Synapse. 50(4). 345–352. 78 indexed citations
8.
Liu, Ning, et al.. (2002). Synthesis of 2-[ 18 F] fluoro-3-[2(S)-2-azetidinyl-methoxy]pyridine as a radioligand for imaging nicotinic acetylcholine receptors. Nuclear Science and Techniques. 13(2). 92–97. 3 indexed citations
9.
Gerasimov, Madina R., Richard A. Ferrieri, Wynne K. Schiffer, et al.. (2002). Study of brain uptake and biodistribution of [11C]toluene in non-human primates and mice. Life Sciences. 70(23). 2811–2828. 39 indexed citations
10.
Ferrieri, Richard A., et al.. (2002). Supercritical CO2 fluid radiochromatography system used to purify [11C]toluene for PET. Nuclear Medicine and Biology. 29(3). 351–357. 4 indexed citations
11.
Fowler, Joanna S., Jean Logan, Gene‐Jack Wang, et al.. (2002). PET imaging of monoamine oxidase B in peripheral organs in humans.. PubMed. 43(10). 1331–8. 25 indexed citations
12.
Fowler, Joanna S., Y.‐S. Ding, Jean Logan, et al.. (2001). Species differences in [ 11 C]clorgyline binding in brain. Nuclear Medicine and Biology. 28(7). 779–785. 21 indexed citations
13.
Fowler, Joanna S., Nora D. Volkow, Jean Logan, et al.. (2001). Evidence that l-deprenyl treatment for one week does not inhibit mao a or the dopamine transporter in the human brain. Life Sciences. 68(24). 2759–2768. 19 indexed citations
14.
Fowler, Joanna S., Gene‐Jack Wang, Nora D. Volkow, et al.. (2000). Maintenance of Brain Monoamine Oxidase B Inhibition in Smokers After Overnight Cigarette Abstinence. American Journal of Psychiatry. 157(11). 1864–1866. 48 indexed citations
15.
Ding, Yu‐Shin, Jean Logan, Victor Garza, et al.. (2000). Dopamine Receptor‐Mediated Regulation of Striatal Cholinergic Activity. Journal of Neurochemistry. 74(4). 1514–1521. 36 indexed citations
16.
Ding, Yu‐Shin, Nora D. Volkow, Jean Logan, et al.. (2000). Occupancy of brain nicotinic acetylcholine receptors by nicotine doses equivalent to those obtained when smoking a cigarette. Synapse. 35(3). 234–237. 20 indexed citations
17.
Fowler, Joanna S., G.-J. Wang, Nora D. Volkow, et al.. (2000). Evidence that Ginkgo biloba extract does not inhibit MAO A and B in living human brain. Life Sciences. 66(9). PL141–PL146. 21 indexed citations
18.
Ding, Yu‐Shin, et al.. (2000). Synthesis and evaluation of 6-[18F]fluoro-3-(2(S)-azetidinylmethoxy)pyridine as a PET tracer for nicotinic acetylcholine receptors. Nuclear Medicine and Biology. 27(4). 381–389. 39 indexed citations
19.
Fowler, Joanna S., G J Wang, Nora D. Volkow, et al.. (1999). Smoking a single cigarette does not produce a measurable reduction in brain MAO B in non-smokers. Nicotine & Tobacco Research. 1(4). 325–329. 34 indexed citations
20.
Fowler, Joanna S., Nora D. Volkow, Jean Logan, et al.. (1998). An acute dose of nicotine does not inhibit MAO B in baboon brain in vivo. Life Sciences. 63(2). PL19–PL23. 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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