Arthur E. Jacobson

5.1k total citations
207 papers, 4.1k citations indexed

About

Arthur E. Jacobson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Arthur E. Jacobson has authored 207 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Molecular Biology, 116 papers in Cellular and Molecular Neuroscience and 62 papers in Organic Chemistry. Recurrent topics in Arthur E. Jacobson's work include Neuropeptides and Animal Physiology (88 papers), Receptor Mechanisms and Signaling (81 papers) and Pharmacological Receptor Mechanisms and Effects (66 papers). Arthur E. Jacobson is often cited by papers focused on Neuropeptides and Animal Physiology (88 papers), Receptor Mechanisms and Signaling (81 papers) and Pharmacological Receptor Mechanisms and Effects (66 papers). Arthur E. Jacobson collaborates with scholars based in United States, Singapore and Japan. Arthur E. Jacobson's co-authors include Kenner C. Rice, Richard B. Rothman, Terrence R. Burke, Miles Herkenham, Werner A. Klee, Victor Bykov, Arnold Brossi, Everette L. May, Gary R. Matyas and Richard A. Streaty and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Arthur E. Jacobson

206 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arthur E. Jacobson United States	33	2.6k	2.6k	766	488	314	207	4.1k
F. Ivy Carroll United States	36	3.4k 1.3×	3.0k 1.2×	772 1.0×	644 1.3×	451 1.4×	169	5.2k
Stephen M. Husbands United Kingdom	33	2.7k 1.0×	2.5k 1.0×	419 0.5×	720 1.5×	296 0.9×	157	4.0k
Aaron Janowsky United States	43	2.6k 1.0×	3.5k 1.4×	430 0.6×	477 1.0×	649 2.1×	129	5.5k
Victor J. Lotti United States	36	3.0k 1.2×	2.3k 0.9×	1.6k 2.0×	589 1.2×	496 1.6×	138	5.9k
Mario D. Aceto United States	33	1.7k 0.7×	2.2k 0.8×	377 0.5×	642 1.3×	853 2.7×	118	3.4k
Vincent Setola United States	33	2.8k 1.1×	1.8k 0.7×	634 0.8×	290 0.6×	676 2.2×	81	5.1k
John D. McCorvy United States	30	3.0k 1.2×	2.5k 1.0×	790 1.0×	380 0.8×	317 1.0×	71	4.9k
Camille G. Wermuth France	34	2.1k 0.8×	1.2k 0.5×	1.3k 1.6×	218 0.4×	436 1.4×	81	4.2k
Kevin Beaumont United States	36	2.3k 0.9×	1.5k 0.6×	422 0.6×	683 1.4×	312 1.0×	103	5.0k
Lee‐Yuan Liu‐Chen United States	46	4.1k 1.6×	4.3k 1.7×	242 0.3×	1.3k 2.6×	322 1.0×	152	6.2k

Countries citing papers authored by Arthur E. Jacobson

Since Specialization

Citations

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

Fields of papers citing papers by Arthur E. Jacobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur E. Jacobson

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

Sulima, Agnieszka, Dan Luo, Sophia Kaska, et al.. (2024). Functional Activity of Enantiomeric Oximes and Diastereomeric Amines and Cyano Substituents at C9 in 3-Hydroxy-N-phenethyl-5-phenylmorphans. Molecules. 29(9). 1926–1926. 1 indexed citations

Akbarali, Hamid I., Eugene S. Gutman, Arthur E. Jacobson, et al.. (2024). Low-Efficacy Mu Opioid Agonists as Candidate Analgesics: Effects of Novel C-9 Substituted Phenylmorphans on Pain-Depressed Behavior in Mice. Journal of Pharmacology and Experimental Therapeutics. 391(2). 138–151. 4 indexed citations

Sulima, Agnieszka, et al.. (2023). A MOR Antagonist with High Potency and Antagonist Efficacy among Diastereomeric C9-Alkyl-Substituted N-Phenethyl-5-(3-hydroxy)phenylmorphans. Molecules. 28(14). 5411–5411. 3 indexed citations

Gutman, Eugene S., Arthur E. Jacobson, Kenner C. Rice, et al.. (2023). Role of efficacy as a determinant of locomotor activation by mu‐opioid receptor (MOR) ligands in female and male mice. II. Effects of novel MOR‐selective phenylmorphans with high‐to‐low MOR efficacy. Pharmacology Research & Perspectives. 11(4). e01111–e01111. 10 indexed citations

Sulima, Agnieszka, Eugene S. Gutman, Dan Luo, et al.. (2023). Discovery of a Potent Highly Biased MOR Partial Agonist among Diastereomeric C9-Hydroxyalkyl-5-phenylmorphans. Molecules. 28(12). 4795–4795. 11 indexed citations

Ward, George W., Agnieszka Sulima, Dan Luo, et al.. (2023). Potent MOR Agonists from 2′-Hydroxy-5,9-dimethyl-N-phenethyl Substituted-6,7-benzomorphans and from C8-Hydroxy, Methylene and Methyl Derivatives of N-Phenethylnormetazocine. Molecules. 28(23). 7709–7709. 1 indexed citations

Gutman, Eugene S., Fuying Li, Agnieszka Sulima, et al.. (2020). G-Protein biased opioid agonists: 3-hydroxy-N-phenethyl-5-phenylmorphans with three-carbon chain substituents at C9. RSC Medicinal Chemistry. 11(8). 896–904. 12 indexed citations

Torres, Oscar B., Gary R. Matyas, Mangala Rao, et al.. (2017). Heroin-HIV-1 (H2) vaccine: induction of dual immunologic effects with a heroin hapten-conjugate and an HIV-1 envelope V2 peptide with liposomal lipid A as an adjuvant. npj Vaccines. 2(1). 13–13. 38 indexed citations

Rothman, Richard B., Michael H. Baumann, Bruce E. Blough, et al.. (2010). Evidence for noncompetitive modulation of substrate‐induced serotonin release. Synapse. 64(11). 862–869. 15 indexed citations

10.

Tian, Xinrong, Ling‐Wei Hsin, Elizabeth Webster, et al.. (2001). The development of a potential single photon emission computed tomography (SPECT) imaging agent for the corticotropin-releasing hormone receptor type 1. Bioorganic & Medicinal Chemistry Letters. 11(3). 331–333. 15 indexed citations

11.

May, Everette L., Mario D. Aceto, Edward R. Bowman, et al.. (2000). Enantiomeric (-)-(1R,5R,9R) and (+)-(1S,5S,9S) heterocyclic N-substituted-normetazocines: Synthesis of potent and selective antinociceptives and opioid antagonists through N-substituent modification. Medicinal Chemistry Research. 10(3). 178–185. 1 indexed citations

12.

Coop, Andrew, et al.. (1999). Delta opioid binding selectivity of 3-ether analogs of naltrindole. Bioorganic & Medicinal Chemistry Letters. 9(24). 3435–3438. 9 indexed citations

13.

May, Everette L., Mario D. Aceto, Edward R. Bowman, et al.. (1994). Antipodal .alpha.-N-(Methyl through Decyl)-N-normetazocines (5,9.alpha.-Dimethyl-2'-hydroxy-6,7-benzomorphans): In vitro and In vivo Properties. Journal of Medicinal Chemistry. 37(20). 3408–3418. 39 indexed citations

14.

Costa, Brian R. de, Michael J. Iadarola, Karen F. Berman, et al.. (1992). Probes for narcotic receptor mediated phenomena. 18. Epimeric 6.alpha.- and 6.beta.-iodo-3,14-dihydroxy-17-(cyclopropylmethyl)-4,5.alpha.-epoxymorphinans as potential ligands for opioid receptor single photon emission computed tomography: synthesis, evaluation, and radiochemistry of [125I]-6.beta.-iodo-3,14-dihydroxy-17-(cyclopropylmethyl)-4,5.alpha.-epoxymorphinan. Journal of Medicinal Chemistry. 35(15). 2826–2835. 26 indexed citations

15.

IORIO, M. A., Lamberto Tomassini, Mariena V. Mattson, Clifford George, & Arthur E. Jacobson. (1991). Synthesis, stereochemistry, and biological activity of the 1-(1-phenyl-2-methylcyclohexyl)piperidines and the 1-(1-phenyl-4-methylcyclohexyl)piperidines. Absolute configuration of the potent trans-(-)-1-(1-phenyl-2-methylcyclohexyl)piperidine. Journal of Medicinal Chemistry. 34(8). 2615–2623. 10 indexed citations

16.

Rothman, Richard B., et al.. (1991). Probing the opioid receptor complex with (+)-trans-superfit. I. Evidence that [D-Pen2,D-Pen5]enkephalin interacts with high affinity at the δcx binding site. Peptides. 12(2). 359–364. 14 indexed citations

17.

Hood, William F., Robert P. Compton, Arthur E. Jacobson, et al.. (1987). Metaphit irreversibly inhibits calcium chloride dependent tritiated l glutamate binding. The Society for Neuroscience Abstracts. 13(3). 1557. 1 indexed citations

18.

Reith, M.E.A., Paul Berger, Arthur E. Jacobson, K.C. Rice, & Henry Sershen. (1987). Metaphit prevents locomotor activation by dopamine uptake blockers and increases homovanillic acid. The Society for Neuroscience Abstracts. 13(2). 831. 4 indexed citations

19.

Freedman, Robert, Barry J. Hoffer, Mariena V. Mattson, et al.. (1986). Antagonism of phencyclidine action by metaphit in rat cerebellar Purkinje neurons: an electrophysiological study.. Proceedings of the National Academy of Sciences. 83(8). 2724–2727. 13 indexed citations

20.

France, Charles P., Arthur E. Jacobson, & J H Woods. (1984). Discriminative stimulus effects of reversible and irreversible opiate agonists: morphine, oxymorphazone and buprenorphine.. Journal of Pharmacology and Experimental Therapeutics. 230(3). 652–657. 43 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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