James Maksymetz

1.1k total citations · 1 hit paper
13 papers, 691 citations indexed

About

James Maksymetz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, James Maksymetz has authored 13 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in James Maksymetz's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (8 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). James Maksymetz is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (8 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). James Maksymetz collaborates with scholars based in United States, France and Italy. James Maksymetz's co-authors include P. Jeffrey Conn, Sean P. Moran, Craig W. Lindsley, Max E. Joffe, Colleen M. Niswender, Julie L. Engers, Edward M. Meyer, Joshua S. Kaminker, David H. Hackos and Benjamin I. Laufer and has published in prestigious journals such as Nature Communications, Neuron and Biological Psychiatry.

In The Last Decade

James Maksymetz

13 papers receiving 689 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function

2023 95 citations Min Jung, Michelle Dourado et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Maksymetz United States	12	422	353	162	104	85	13	691
Marcus W. Meinhardt Germany	13	502 1.2×	288 0.8×	212 1.3×	60 0.6×	88 1.0×	31	841
Е. М. Кондаурова Russia	15	404 1.0×	181 0.5×	120 0.7×	73 0.7×	140 1.6×	50	655
François Gastambide United Kingdom	16	511 1.2×	340 1.0×	281 1.7×	84 0.8×	83 1.0×	21	863
Jamie H. Rose United States	11	629 1.5×	379 1.1×	196 1.2×	126 1.2×	151 1.8×	14	852
Linda M. Rorick‐Kehn United States	14	636 1.5×	421 1.2×	187 1.2×	98 0.9×	131 1.5×	14	866
Andreas Gravius Germany	19	665 1.6×	418 1.2×	240 1.5×	51 0.5×	106 1.2×	28	841
Olivier Bergis France	14	432 1.0×	408 1.2×	137 0.8×	78 0.8×	78 0.9×	19	788
Inge E.M. de Jong Denmark	15	288 0.7×	163 0.5×	112 0.7×	138 1.3×	111 1.3×	22	560
Ning Wu China	18	595 1.4×	354 1.0×	199 1.2×	38 0.4×	99 1.2×	43	858
Steven M. Gee United States	8	611 1.4×	352 1.0×	288 1.8×	45 0.4×	81 1.0×	8	851

Countries citing papers authored by James Maksymetz

Since Specialization

Citations

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

Fields of papers citing papers by James Maksymetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Maksymetz

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

All Works

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13 of 13 papers shown

Jung, Min, Michelle Dourado, James Maksymetz, et al.. (2023). Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function. Nature Communications. 14(1). 366–366. 95 indexed citations breakdown →

Maksymetz, James, Nellie Byun, Robert Barry, et al.. (2021). mGlu1 potentiation enhances prelimbic somatostatin interneuron activity to rescue schizophrenia-like physiological and cognitive deficits. Cell Reports. 37(5). 109950–109950. 26 indexed citations

Moran, Sean P., Zixiu Xiang, Catherine A. Doyle, et al.. (2019). Biased M ₁ receptor–positive allosteric modulators reveal role of phospholipase D in M ₁ -dependent rodent cortical plasticity. Science Signaling. 12(610). 8 indexed citations

Xiang, Zixiu, Xiaohui Lv, James Maksymetz, et al.. (2019). mGlu₅ Positive Allosteric Modulators Facilitate Long-Term Potentiation via Disinhibition Mediated by mGlu₅-Endocannabinoid Signaling. ACS Pharmacology & Translational Science. 2(3). 198–209. 19 indexed citations

Maksymetz, James, Max E. Joffe, Sean P. Moran, et al.. (2019). M1 Muscarinic Receptors Modulate Fear-Related Inputs to the Prefrontal Cortex: Implications for Novel Treatments of Posttraumatic Stress Disorder. Biological Psychiatry. 85(12). 989–1000. 24 indexed citations

Moran, Sean P., James Maksymetz, & P. Jeffrey Conn. (2019). Targeting Muscarinic Acetylcholine Receptors for the Treatment of Psychiatric and Neurological Disorders. Trends in Pharmacological Sciences. 40(12). 1006–1020. 93 indexed citations

Joffe, Max E., James Maksymetz, Julie L. Engers, et al.. (2019). mGlu2 and mGlu3 Negative Allosteric Modulators Divergently Enhance Thalamocortical Transmission and Exert Rapid Antidepressant-like Effects. Neuron. 105(1). 46–59.e3. 58 indexed citations

Moran, Sean P., Hyekyung P. Cho, James Maksymetz, et al.. (2018). PF-06827443 Displays Robust Allosteric Agonist and Positive Allosteric Modulator Activity in High Receptor Reserve and Native Systems. ACS Chemical Neuroscience. 9(9). 2218–2224. 18 indexed citations

Moran, Sean P., Jonathan W. Dickerson, Hyekyung P. Cho, et al.. (2018). M1-positive allosteric modulators lacking agonist activity provide the optimal profile for enhancing cognition. Neuropsychopharmacology. 43(8). 1763–1771. 58 indexed citations

10.

Rook, Jerri M., Hyekyung P. Cho, Pedro M. García-Barrantes, et al.. (2018). A Novel M ₁ PAM VU0486846 Exerts Efficacy in Cognition Models without Displaying Agonist Activity or Cholinergic Toxicity. ACS Chemical Neuroscience. 9(9). 2274–2285. 45 indexed citations

11.

Joffe, Max E., Branden J. Stansley, James Maksymetz, et al.. (2018). Mechanisms underlying prelimbic prefrontal cortex mGlu3/mGlu5-dependent plasticity and reversal learning deficits following acute stress. Neuropharmacology. 144. 19–28. 47 indexed citations

12.

Maksymetz, James, Sean P. Moran, & P. Jeffrey Conn. (2017). Targeting metabotropic glutamate receptors for novel treatments of schizophrenia. Molecular Brain. 10(1). 15–15. 108 indexed citations

13.

Meyer, Edward M., Virginia Long, Vinuta Rau, et al.. (2015). Induction and Expression of Fear Sensitization Caused by Acute Traumatic Stress. Neuropsychopharmacology. 41(1). 45–57. 92 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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