Joy E. Marlo

1.3k total citations
7 papers, 738 citations indexed

About

Joy E. Marlo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Joy E. Marlo has authored 7 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Epidemiology. Recurrent topics in Joy E. Marlo's work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (2 papers). Joy E. Marlo is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Ion channel regulation and function (2 papers). Joy E. Marlo collaborates with scholars based in United States, Netherlands and Australia. Joy E. Marlo's co-authors include Colleen M. Niswender, P. Jeffrey Conn, Craig W. Lindsley, C. David Weaver, Carrie K. Jones, Lisa A. Bastarache, Eric R. Gamazon, Nancy J. Cox, Wei‐Qi Wei and Robert J. Carroll and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Molecular Pharmacology.

In The Last Decade

Joy E. Marlo

7 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joy E. Marlo United States	7	470	425	99	39	37	7	738
Xueqin Jin China	15	563 1.2×	217 0.5×	36 0.4×	23 0.6×	13 0.4×	33	782
Craig W. Davis United States	15	457 1.0×	212 0.5×	20 0.2×	39 1.0×	24 0.6×	31	1.0k
Xuefeng Wang China	15	131 0.3×	415 1.0×	54 0.5×	95 2.4×	68 1.8×	54	1.0k
Bonnie A. Fijal United States	18	323 0.7×	122 0.3×	133 1.3×	39 1.0×	30 0.8×	35	1.0k
Hans-Ulrich Demuth Germany	11	256 0.5×	261 0.6×	66 0.7×	26 0.7×	8 0.2×	14	772
Michael Rabbia United States	10	266 0.6×	118 0.3×	70 0.7×	73 1.9×	37 1.0×	27	646
Jina Swartz United Kingdom	10	437 0.9×	394 0.9×	43 0.4×	71 1.8×	206 5.6×	15	956
Brian P. Delisle United States	29	1.9k 4.1×	575 1.4×	111 1.1×	36 0.9×	13 0.4×	89	2.7k
Michel Noyer Belgium	12	380 0.8×	568 1.3×	15 0.2×	19 0.5×	31 0.8×	22	961
Sanae Yasuda Japan	14	241 0.5×	132 0.3×	98 1.0×	62 1.6×	25 0.7×	40	938

Countries citing papers authored by Joy E. Marlo

Since Specialization

Citations

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

Fields of papers citing papers by Joy E. Marlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy E. Marlo. 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 Joy E. Marlo. The network helps show where Joy E. Marlo may publish in the future.

Co-authorship network of co-authors of Joy E. Marlo

This figure shows the co-authorship network connecting the top 25 collaborators of Joy E. Marlo. A scholar is included among the top collaborators of Joy E. Marlo 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 Joy E. Marlo. Joy E. Marlo 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

Wei, Wei‐Qi, Lisa A. Bastarache, Robert J. Carroll, et al.. (2017). Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record. PLoS ONE. 12(7). e0175508–e0175508. 204 indexed citations

Rodriguez, Alice L., Mark D. Grier, Carrie K. Jones, et al.. (2010). Discovery of Novel Allosteric Modulators of Metabotropic Glutamate Receptor Subtype 5 Reveals Chemical and Functional Diversity and In Vivo Activity in Rat Behavioral Models of Anxiolytic and Antipsychotic Activity. Molecular Pharmacology. 78(6). 1105–1123. 147 indexed citations

Bridges, Thomas M., Joy E. Marlo, Colleen M. Niswender, et al.. (2009). Discovery of the First Highly M5-Preferring Muscarinic Acetylcholine Receptor Ligand, an M5 Positive Allosteric Modulator Derived from a Series of 5-Trifluoromethoxy N -Benzyl Isatins. Journal of Medicinal Chemistry. 52(11). 3445–3448. 88 indexed citations

Weaver, C. David, Douglas J. Sheffler, L. Michelle Lewis, et al.. (2009). Discovery and Development of a Potent and Highly Selective Small Molecule Muscarinic Acetylcholine Receptor Subtype I (mAChR 1 or M1) Antagonist In Vitro and In Vivo Probe. Current Topics in Medicinal Chemistry. 9(13). 1217–1226. 13 indexed citations

Marlo, Joy E., Colleen M. Niswender, Emily Days, et al.. (2008). Discovery and Characterization of Novel Allosteric Potentiators of M1 Muscarinic Receptors Reveals Multiple Modes of Activity. Molecular Pharmacology. 75(3). 577–588. 119 indexed citations

Niswender, Colleen M., Kari A. Johnson, C. David Weaver, et al.. (2008). Discovery, Characterization, and Antiparkinsonian Effect of Novel Positive Allosteric Modulators of Metabotropic Glutamate Receptor 4. Molecular Pharmacology. 74(5). 1345–1358. 161 indexed citations

Marlo, Joy E. & Chand Desai. (2006). Loss of phosphatase activity in Ptp69D alleles supporting axon guidance defects. Journal of Cellular Biochemistry. 98(5). 1296–1307. 6 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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