James M. Cook

16.5k total citations · 1 hit paper
534 papers, 13.0k citations indexed

About

James M. Cook is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, James M. Cook has authored 534 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 235 papers in Organic Chemistry, 197 papers in Cellular and Molecular Neuroscience and 186 papers in Molecular Biology. Recurrent topics in James M. Cook's work include Neuroscience and Neuropharmacology Research (184 papers), Alkaloids: synthesis and pharmacology (86 papers) and Chemical synthesis and alkaloids (74 papers). James M. Cook is often cited by papers focused on Neuroscience and Neuropharmacology Research (184 papers), Alkaloids: synthesis and pharmacology (86 papers) and Chemical synthesis and alkaloids (74 papers). James M. Cook collaborates with scholars based in United States, Serbia and Austria. James M. Cook's co-authors include Eric Cox, Phil Skolnick, Xuebin Liao, Wenyuan Yin, Jeffrey R. Deschamps, Hao Zhou, Xiangyu Z. Wearing, Xiaoxiang Liu, Michael L. Van Linn and Tao Wang and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

James M. Cook

522 papers receiving 12.6k 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.

The Pictet-Spengler condensation: a new direction for an old reaction

1995 822 citations James M. Cook et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James M. Cook United States	54	6.4k	4.7k	3.5k	2.0k	1.2k	534	13.0k
Carla Ghelardini Italy	58	2.5k 0.4×	6.0k 1.3×	2.7k 0.8×	911 0.5×	2.1k 1.7×	525	13.8k
Craig W. Lindsley United States	72	3.9k 0.6×	14.1k 3.0×	9.6k 2.7×	329 0.2×	1.4k 1.2×	619	21.6k
Victor W. Pike United States	66	1.9k 0.3×	4.6k 1.0×	4.4k 1.3×	221 0.1×	1.8k 1.5×	433	15.4k
Peter A. Crooks United States	51	3.0k 0.5×	6.4k 1.4×	2.3k 0.6×	623 0.3×	1.2k 1.0×	577	11.8k
Alan P. Kozikowski United States	76	9.1k 1.4×	12.4k 2.7×	3.0k 0.9×	435 0.2×	2.8k 2.3×	567	23.3k
Douglas F. Covey United States	64	1.1k 0.2×	7.0k 1.5×	4.4k 1.2×	459 0.2×	541 0.4×	341	13.0k
Peter Jenner United Kingdom	81	1.2k 0.2×	9.3k 2.0×	12.5k 3.5×	829 0.4×	1.9k 1.5×	463	31.0k
Roberto Pellicciari Italy	53	1.8k 0.3×	4.9k 1.0×	1.5k 0.4×	674 0.3×	627 0.5×	256	13.6k
Keith F. Tipton Ireland	56	1.2k 0.2×	6.3k 1.3×	3.0k 0.8×	847 0.4×	1.4k 1.2×	335	13.0k
Wolfgang Löscher Germany	88	951 0.1×	8.5k 1.8×	16.9k 4.8×	692 0.4×	1.4k 1.2×	606	34.1k

Countries citing papers authored by James M. Cook

Since Specialization

Citations

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

Fields of papers citing papers by James M. Cook

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. Cook

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

All Works

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20 of 20 papers shown

Chang, Xiaofeng, et al.. (2025). α6GABAA receptor positive allosteric modulators targeting trigeminal ganglia for preventing and aborting chronic periorbital allodynia and cephalic pain in both sexes: A mechanistic and comparative preclinical study. Biomedicine & Pharmacotherapy. 189. 118344–118344.

Tiruveedhula, V. V. N. Phani Babu, et al.. (2024). Antinociceptive Effects of α2/α3-Subtype-Selective GABAA Receptor Positive Allosteric Modulators KRM-II-81 and NS16085 in Male Rats: Behavioral Specificity. Journal of Pharmacology and Experimental Therapeutics. 391(3). 389–398. 1 indexed citations

Lee, Ming Tatt, Daniel E. Knutson, James M. Cook, et al.. (2023). Cerebellar α6GABAA Receptors as a Therapeutic Target for Essential Tremor: Proof-of-Concept Study with Ethanol and Pyrazoloquinolinones. Neurotherapeutics. 20(2). 399–418. 13 indexed citations

Rahman, Md Toufiqur, et al.. (2023). Development and validation of an LC–MS/MS method for the determination of ARN14988, an acid ceramidase inhibitor, and its application to a pharmacokinetic study in a mouse model. Biomedical Chromatography. 38(1). e5754–e5754.

Knutson, Daniel E., et al.. (2021). The α6 GABAA Receptor Positive Allosteric Modulator DK-I-56-1 Reduces Tic-Related Behaviors in Mouse Models of Tourette Syndrome. Biomolecules. 11(2). 175–175. 15 indexed citations

Fee, Corey, Thomas D. Prévot, Keith A. Misquitta, et al.. (2021). Behavioral Deficits Induced by Somatostatin-Positive GABA Neuron Silencing Are Rescued by Alpha 5 GABA-A Receptor Potentiation. The International Journal of Neuropsychopharmacology. 24(6). 505–518. 31 indexed citations

Knutson, Daniel E., et al.. (2021). Identification and Quantification of MIDD0301 Metabolites. Current Drug Metabolism. 22(14). 1114–1123. 2 indexed citations

Knutson, Daniel E., Aleksandar Kremenović, Vladimir Dobričić, et al.. (2021). Overcoming the Low Oral Bioavailability of Deuterated Pyrazoloquinolinone Ligand DK-I-60-3 by Nanonization: A Knowledge-Based Approach. Pharmaceutics. 13(8). 1188–1188. 7 indexed citations

Prévot, Thomas D., Akiko Sumitomo, Toshifumi Tomoda, et al.. (2020). Reversal of Age-Related Neuronal Atrophy by α5-GABAA Receptor Positive Allosteric Modulation. Cerebral Cortex. 31(2). 1395–1408. 23 indexed citations

10.

Li, Guanguan, et al.. (2020). The Effects of pH on the Structure and Bioavailability of Imidazobenzodiazepine-3-Carboxylate MIDD0301. Molecular Pharmaceutics. 17(4). 1182–1192. 6 indexed citations

11.

Yocum, Gene T., et al.. (2020). Nebulized MIDD0301 Reduces Airway Hyperresponsiveness in Moderate and Severe Murine Asthma Models. ACS Pharmacology & Translational Science. 3(6). 1381–1390. 6 indexed citations

12.

Knutson, Daniel E., Predrag Vulić, Danijela Randjelović, et al.. (2020). Nanocrystal dispersion of DK-I-56–1, a poorly soluble pyrazoloquinolinone positive modulator of α6 GABAA receptors: Formulation approach toward improved in vivo performance. European Journal of Pharmaceutical Sciences. 152. 105432–105432. 7 indexed citations

13.

Knutson, Daniel E., Jodi L. Smith, Xingjie Ping, et al.. (2020). Imidazodiazepine Anticonvulsant, KRM-II-81, Produces Novel, Non-diazepam-like Antiseizure Effects. ACS Chemical Neuroscience. 11(17). 2624–2637. 11 indexed citations

14.

Berro, Laís F., Daniela Rüedi‐Bettschen, J. E. Cook, et al.. (2019). GABA_A Receptor Subtypes and the Abuse‐Related Effects of Ethanol in Rhesus Monkeys: Experiments with Selective Positive Allosteric Modulators. Alcoholism Clinical and Experimental Research. 43(5). 791–802. 7 indexed citations

15.

McCusker, Paul, Guanguan Li, V. V. N. Phani Babu Tiruveedhula, et al.. (2019). Non-sedating benzodiazepines cause paralysis and tissue damage in the parasitic blood fluke Schistosoma mansoni. PLoS neglected tropical diseases. 13(11). e0007826–e0007826. 6 indexed citations

16.

Cerne, Rok, Scott D. Gleason, Jeffrey M. Schkeryantz, et al.. (2018). An antidepressant-related pharmacological signature for positive allosteric modulators of α2/3-containing GABA A receptors. Pharmacology Biochemistry and Behavior. 170. 9–13. 12 indexed citations

17.

Clayton, Terry, Michael M. Poe, Sundari Rallapalli, et al.. (2015). A Review of the Updated Pharmacophore for the Alpha 5 GABA(A) Benzodiazepine Receptor Model. PubMed. 2015. 1–54. 40 indexed citations

18.

Varagić, Zdravko, Laurin Wimmer, Michael Schnürch, et al.. (2013). Identification of novel positive allosteric modulators and null modulators at the GABA _A receptor α+β− interface. British Journal of Pharmacology. 169(2). 371–383. 49 indexed citations

19.

Chen, Qin, Peter D. Yim, Juliette Johnson, et al.. (2012). Comparison of Cell Expression Formats for the Characterization of GABA _A Channels Using a Microfluidic Patch Clamp System. Assay and Drug Development Technologies. 10(4). 325–335. 7 indexed citations

20.

Gallos, George, Peter D. Yim, Yi Zhang, et al.. (2011). Targeting the restricted α-subunit repertoire of airway smooth muscle GABA _A receptors augments airway smooth muscle relaxation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(2). L248–L256. 52 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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