Nicholas W. Griggs

460 total citations
17 papers, 378 citations indexed

About

Nicholas W. Griggs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Nicholas W. Griggs has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Nicholas W. Griggs's work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Nicholas W. Griggs is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Nicholas W. Griggs collaborates with scholars based in United States, Norway and Canada. Nicholas W. Griggs's co-authors include John R. Traynor, Henry I. Mosberg, Jessica P. Anand, Emily M. Jutkiewicz, Aaron M. Bender, Natasha T. Snider, M. Bishr Omary, Raymond Kwan, Irina D. Pogozheva and Xin‐Qiu Yao and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Hepatology.

In The Last Decade

Nicholas W. Griggs

17 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas W. Griggs United States	12	277	158	51	43	36	17	378
Mark I. Kemp United Kingdom	10	288 1.0×	81 0.5×	66 1.3×	51 1.2×	17 0.5×	15	396
Robert J. Cassell United States	10	412 1.5×	163 1.0×	78 1.5×	36 0.8×	29 0.8×	15	532
Albane Kessler France	11	294 1.1×	123 0.8×	117 2.3×	71 1.7×	24 0.7×	13	550
Madoka Akimoto Canada	15	471 1.7×	72 0.5×	30 0.6×	78 1.8×	31 0.9×	31	562
Jean‐Claude Galleyrand France	11	196 0.7×	134 0.8×	27 0.5×	58 1.3×	20 0.6×	18	398
Krystiana A. Krzyśko Poland	10	225 0.8×	134 0.8×	17 0.3×	60 1.4×	11 0.3×	21	361
Roopali Saxena India	11	254 0.9×	83 0.5×	29 0.6×	12 0.3×	23 0.6×	14	381
Pierre Matricon Sweden	12	316 1.1×	98 0.6×	33 0.6×	14 0.3×	15 0.4×	14	394
Myung‐Min Choi South Korea	10	163 0.6×	37 0.2×	36 0.7×	46 1.1×	13 0.4×	20	338
Gisela I. Mazaira Argentina	12	313 1.1×	31 0.2×	48 0.9×	27 0.6×	40 1.1×	21	471

Countries citing papers authored by Nicholas W. Griggs

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas W. Griggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas W. Griggs. 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 Nicholas W. Griggs. The network helps show where Nicholas W. Griggs may publish in the future.

Co-authorship network of co-authors of Nicholas W. Griggs

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

All Works

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17 of 17 papers shown

Mukhopadhyay, Supratik, et al.. (2021). Artificial intelligence for the discovery of novel antimicrobial agents for emerging infectious diseases. Drug Discovery Today. 27(4). 1099–1107. 30 indexed citations

Anand, Jessica P., Aaron M. Bender, Nicholas W. Griggs, et al.. (2019). Dual Pharmacophores Explored via Structure–Activity Relationship (SAR) Matrix: Insights into Potent, Bifunctional Opioid Ligand Design. Journal of Medicinal Chemistry. 62(8). 4193–4203. 8 indexed citations

Anand, Jessica P., et al.. (2019). Structural Simplification of a Tetrahydroquinoline-Core Peptidomimetic μ-Opioid Receptor (MOR) Agonist/δ-Opioid Receptor (DOR) Antagonist Produces Improved Metabolic Stability. Journal of Medicinal Chemistry. 62(8). 4142–4157. 9 indexed citations

Anand, Jessica P., et al.. (2019). Novel Dimethyltyrosine–Tetrahydroisoquinoline Peptidomimetics with Aromatic Tetrahydroisoquinoline Substitutions Show in Vitro Kappa and Mu Opioid Receptor Agonism. ACS Chemical Neuroscience. 10(8). 3682–3689. 3 indexed citations

Anand, Jessica P., et al.. (2018). In vivoeffects of μ‐opioid receptor agonist/δ‐opioid receptor antagonist peptidomimetics following acute and repeated administration. British Journal of Pharmacology. 175(11). 2013–2027. 29 indexed citations

Griggs, Nicholas W., et al.. (2018). Synthesis and Pharmacological Evaluation of Novel C-8 Substituted Tetrahydroquinolines as Balanced-Affinity Mu/Delta Opioid Ligands for the Treatment of Pain. ACS Chemical Neuroscience. 9(7). 1840–1848. 16 indexed citations

Pogozheva, Irina D., et al.. (2017). Placement of Hydroxy Moiety on Pendant of Peptidomimetic Scaffold Modulates Mu and Kappa Opioid Receptor Efficacy. ACS Chemical Neuroscience. 8(11). 2549–2557. 9 indexed citations

Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2016). Dynamic Coupling and Allosteric Networks in the Alpha Subunit of Heterotrimeric G Proteins. Biophysical Journal. 110(3). 427a–427a. 3 indexed citations

Griggs, Nicholas W., et al.. (2016). Benzylideneoxymorphone: A new lead for development of bifunctional mu/delta opioid receptor ligands. Bioorganic & Medicinal Chemistry Letters. 27(3). 666–669. 16 indexed citations

10.

Bender, Aaron M., Nicholas W. Griggs, Chao Gao, et al.. (2016). Effects ofN-Substitutions on the Tetrahydroquinoline (THQ) Core of Mixed-Efficacy μ-Opioid Receptor (MOR)/δ-Opioid Receptor (DOR) Ligands. Journal of Medicinal Chemistry. 59(10). 4985–4998. 32 indexed citations

11.

Bender, Aaron M., et al.. (2015). Rapid Synthesis of Boc-2′,6′-dimethyl-l-tyrosine and Derivatives and Incorporation into Opioid Peptidomimetics. ACS Medicinal Chemistry Letters. 6(12). 1199–1203. 17 indexed citations

12.

Yao, Xin‐Qiu, Rabia U. Malik, Nicholas W. Griggs, et al.. (2015). Dynamic Coupling and Allosteric Networks in the α Subunit of Heterotrimeric G Proteins. Journal of Biological Chemistry. 291(9). 4742–4753. 61 indexed citations

13.

Yeomans, Larisa, Nicholas W. Griggs, Jessica P. Anand, et al.. (2015). Further Optimization and Evaluation of Bioavailable, Mixed-Efficacy μ-Opioid Receptor (MOR) Agonists/δ-Opioid Receptor (DOR) Antagonists: Balancing MOR and DOR Affinities. Journal of Medicinal Chemistry. 58(22). 8952–8969. 34 indexed citations

14.

Bender, Aaron M., Nicholas W. Griggs, Jessica P. Anand, et al.. (2015). Asymmetric Synthesis and in Vitro and in Vivo Activity of Tetrahydroquinolines Featuring a Diverse Set of Polar Substitutions at the 6 Position as Mixed-Efficacy μ Opioid Receptor/δ Opioid Receptor Ligands. ACS Chemical Neuroscience. 6(8). 1428–1435. 26 indexed citations

15.

Snider, Natasha T., Nicholas W. Griggs, Amika Singla, et al.. (2013). CD73 (ecto-5′-nucleotidase) hepatocyte levels differ across mouse strains and contribute to mallory-denk body formation. Hepatology. 58(5). 1790–1800. 20 indexed citations

16.

Snider, Natasha T., et al.. (2013). Glucose and SIRT2 reciprocally mediate the regulation of keratin 8 by lysine acetylation. The Journal of Cell Biology. 200(3). 241–247. 35 indexed citations

17.

Singla, Amika, Nicholas W. Griggs, Raymond Kwan, et al.. (2013). Lamin aggregation is an early sensor of porphyria-induced liver injury. Journal of Cell Science. 126(Pt 14). 3105–12. 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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