Marla L. Watt

992 total citations
7 papers, 88 citations indexed

About

Marla L. Watt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Marla L. Watt has authored 7 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in Marla L. Watt's work include Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuropeptides and Animal Physiology (2 papers). Marla L. Watt is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuropeptides and Animal Physiology (2 papers). Marla L. Watt collaborates with scholars based in United States, United Kingdom and Spain. Marla L. Watt's co-authors include Christian C. Felder, David L. McKinzie, Laura A. Struzyna, Douglas A. Schober, Bin Liu, Stephen A. Hitchcock, Carrie H. Croy, Wai‐Yee Chan, Sean M. Smith and Lihang Yao and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Neuropsychopharmacology and Molecular Pharmacology.

In The Last Decade

Marla L. Watt

7 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marla L. Watt United States	6	71	48	12	7	6	7	88
Krisztina Pesti Hungary	5	115 1.6×	55 1.1×	8 0.7×	7 1.0×	7 1.2×	11	161
Tatsushi Yokoyama Japan	6	40 0.6×	37 0.8×	3 0.3×	5 0.7×	2 0.3×	14	84
Marta Molinero Spain	8	63 0.9×	45 0.9×	40 3.3×	8 1.1×	12 2.0×	13	111
Fiorella Colasuonno Italy	6	66 0.9×	18 0.4×	17 1.4×	8 1.1×	2 0.3×	10	106
Pin‐Jui Kung Taiwan	6	54 0.8×	45 0.9×	27 2.3×	24 3.4×	6 1.0×	7	101
Jonas Miehling Germany	4	88 1.2×	42 0.9×	7 0.6×	1 0.1×	6 1.0×	4	116
Justin Truong United States	4	45 0.6×	29 0.6×	10 0.8×	8 1.1×	3 0.5×	6	98
Patrick G. McCauley United Kingdom	6	123 1.7×	88 1.8×	36 3.0×	21 3.0×	6 1.0×	7	184
Raymond Yurko United States	6	103 1.5×	30 0.6×	26 2.2×	5 0.7×	31 5.2×	7	139
Thomas Son United States	4	68 1.0×	58 1.2×	4 0.3×	4 0.6×	18 3.0×	8	110

Countries citing papers authored by Marla L. Watt

Since Specialization

Citations

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

Fields of papers citing papers by Marla L. Watt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marla L. Watt. 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 Marla L. Watt. The network helps show where Marla L. Watt may publish in the future.

Co-authorship network of co-authors of Marla L. Watt

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

All Works

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7 of 7 papers shown

1.

Jinn, Sarah, Lihang Yao, Monika Kandebo, et al.. (2021). A novel glucosylceramide synthase inhibitor attenuates alpha synuclein pathology and lysosomal dysfunction in preclinical models of synucleinopathy. Neurobiology of Disease. 159. 105507–105507. 14 indexed citations

2.

Struzyna, Laura A. & Marla L. Watt. (2021). The Emerging Role of Neuronal Organoid Models in Drug Discovery: Potential Applications and Hurdles to Implementation. Molecular Pharmacology. 99(4). 256–265. 11 indexed citations

3.

Felder, Christian C., Douglas A. Schober, Yuan Tu, et al.. (2017). Translational Pharmacology of the Metabotropic Glutamate 2 Receptor–Preferring Agonist LY2812223 in the Animal and Human Brain. Journal of Pharmacology and Experimental Therapeutics. 361(1). 190–197. 5 indexed citations

4.

Croy, Carrie H., et al.. (2016). Characterization of PCS1055, a novel muscarinic M4 receptor antagonist. European Journal of Pharmacology. 782. 70–76. 14 indexed citations

5.

Liu, Bin, Carrie H. Croy, Stephen A. Hitchcock, et al.. (2015). Design and synthesis of N-[6-(Substituted Aminoethylideneamino)-2-Hydroxyindan-1-yl]arylamides as selective and potent muscarinic M1 agonists. Bioorganic & Medicinal Chemistry Letters. 25(19). 4158–4163. 4 indexed citations

6.

Watt, Marla L., et al.. (2013). The Muscarinic Acetylcholine Receptor Agonist BuTAC Mediates Antipsychotic-Like Effects via the M4 Subtype. Neuropsychopharmacology. 38(13). 2717–2726. 10 indexed citations

7.

Watt, Marla L., Douglas A. Schober, Stephen A. Hitchcock, et al.. (2011). Pharmacological Characterization of LY593093, an M1 Muscarinic Acetylcholine Receptor-Selective Partial Orthosteric Agonist. Journal of Pharmacology and Experimental Therapeutics. 338(2). 622–632. 30 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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