Philip D. Mosier

3.1k total citations · 1 hit paper
48 papers, 2.0k citations indexed

About

Philip D. Mosier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Philip D. Mosier has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 10 papers in Organic Chemistry. Recurrent topics in Philip D. Mosier's work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (13 papers) and Pharmacological Receptor Mechanisms and Effects (11 papers). Philip D. Mosier is often cited by papers focused on Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (13 papers) and Pharmacological Receptor Mechanisms and Effects (11 papers). Philip D. Mosier collaborates with scholars based in United States, China and Italy. Philip D. Mosier's co-authors include Bryan L. Roth, Umesh R. Desai, Richard B. Westkaemper, Eyal Vardy, Raymond C. Stevens, Vsevolod Katritch, Huixian Wu, Aaron A. Thompson, S. Wayne Mascarella and Daniel Wacker and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Philip D. Mosier

48 papers receiving 1.9k citations

Hit Papers

Structure of the human κ-opioid receptor in complex with ... 2012 2026 2016 2021 2012 200 400 600

Peers

Philip D. Mosier
Yiran Wu China
HaJeung Park United States
Karl A. Walter United States
Chaohong Sun United States
Jayvardhan Pandit United States
Donmienne Leung United States
Philip D. Mosier
Citations per year, relative to Philip D. Mosier Philip D. Mosier (= 1×) peers Jana Selent

Countries citing papers authored by Philip D. Mosier

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Mosier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Mosier. 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 Philip D. Mosier. The network helps show where Philip D. Mosier may publish in the future.

Co-authorship network of co-authors of Philip D. Mosier

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

All Works

20 of 20 papers shown
1.
Mosier, Philip D., Mauro Niso, Leonardo Brunetti, et al.. (2021). Development of novel phenoxyalkylpiperidines as high-affinity Sigma-1 (σ1) receptor ligands with potent anti-amnesic effect. European Journal of Medicinal Chemistry. 228. 114038–114038. 3 indexed citations
2.
Sankaranarayanan, Nehru Viji, Arjun Raghuraman, Florence Sallas, et al.. (2017). A Hexasaccharide Containing Rare 2‐O‐Sulfate‐Glucuronic Acid Residues Selectively Activates Heparin Cofactor II. Angewandte Chemie International Edition. 56(9). 2312–2317. 53 indexed citations
3.
Mosier, Philip D., Zhengshi Lin, Yamei Gao, et al.. (2016). Broad Spectrum Anti-Influenza Agents by Inhibiting Self-Association of Matrix Protein 1. Scientific Reports. 6(1). 32340–32340. 12 indexed citations
4.
Vardy, Eyal, Maria F. Sassano, Andrew J. Rennekamp, et al.. (2015). Single Amino Acid Variation Underlies Species-Specific Sensitivity to Amphibian Skin-Derived Opioid-like Peptides. Chemistry & Biology. 22(6). 764–775. 11 indexed citations
5.
Sankaranarayanan, Nehru Viji, Aurijit Sarkar, Umesh R. Desai, & Philip D. Mosier. (2014). Designing “High-Affinity, High-Specificity” Glycosaminoglycan Sequences Through Computerized Modeling. Methods in molecular biology. 1229. 289–314. 19 indexed citations
7.
Vardy, Eyal, Philip D. Mosier, Kevin J. Frankowski, et al.. (2013). Chemotype-selective Modes of Action of κ-Opioid Receptor Agonists. Journal of Biological Chemistry. 288(48). 34470–34483. 54 indexed citations
8.
Aziz, May H. Abdel, Preetpal S. Sidhu, Aiye Liang, et al.. (2012). Designing Allosteric Regulators of Thrombin. Monosulfated Benzofuran Dimers Selectively Interact With Arg173 of Exosite 2 to Induce Inhibition. Journal of Medicinal Chemistry. 55(15). 6888–6897. 36 indexed citations
9.
Sidhu, Preetpal S., Philip D. Mosier, Qibing Zhou, & Umesh R. Desai. (2012). On scaffold hopping: Challenges in the discovery of sulfated small molecules as mimetics of glycosaminoglycans. Bioorganic & Medicinal Chemistry Letters. 23(1). 355–359. 16 indexed citations
10.
Wu, Huixian, Daniel Wacker, Mauro Mileni, et al.. (2012). Structure of the human κ-opioid receptor in complex with JDTic. Nature. 485(7398). 327–332. 718 indexed citations breakdown →
11.
12.
Aziz, May H. Abdel, Philip D. Mosier, & Umesh R. Desai. (2011). Identification of the site of binding of sulfated, low molecular weight lignins on thrombin. Biochemical and Biophysical Research Communications. 413(2). 348–352. 22 indexed citations
13.
Mosier, Philip D., et al.. (2009). 9-Aminomethyl-9,10-dihydroanthracene (AMDA) analogs as structural probes for steric tolerance in 5-HT2A and H1 receptor binding sites. Bioorganic & Medicinal Chemistry Letters. 20(3). 935–938. 7 indexed citations
14.
Mosier, Philip D., et al.. (2009). Synthesis, structure–affinity relationships, and modeling of AMDA analogs at 5-HT2A and H1 receptors: Structural factors contributing to selectivity. Bioorganic & Medicinal Chemistry. 17(18). 6496–6504. 20 indexed citations
15.
Abate, Carmen, Philip D. Mosier, Francesco Berardi, & Richard A. Glennon. (2009). A Structure-Affinity and Comparative Molecular Field Analysis of Sigma-2 (σ2) Receptor Ligands. Central Nervous System Agents in Medicinal Chemistry. 9(3). 246–257. 31 indexed citations
16.
Girirajan, Santhosh, Paula M. Hauck, Stephen R. Williams, et al.. (2008). Tom1l2 hypomorphic mice exhibit increased incidence of infections and tumors and abnormal immunologic response. Mammalian Genome. 19(4). 246–262. 18 indexed citations
17.
Raghuraman, Arjun, Philip D. Mosier, & Umesh R. Desai. (2006). Finding a Needle in a Haystack:  Development of a Combinatorial Virtual Screening Approach for Identifying High Specificity Heparin/Heparan Sulfate Sequence(s). Journal of Medicinal Chemistry. 49(12). 3553–3562. 64 indexed citations
18.
Vortherms, Timothy A., Philip D. Mosier, Richard B. Westkaemper, & Bryan L. Roth. (2006). Differential Helical Orientations among Related G Protein-coupled Receptors Provide a Novel Mechanism for Selectivity. Journal of Biological Chemistry. 282(5). 3146–3156. 28 indexed citations
19.
Schweitzer, Barbara A., Paul J. Loida, Claire A. CaJacob, et al.. (2002). Discovery of imidazole glycerol phosphate dehydratase inhibitors through 3-D database searching. Bioorganic & Medicinal Chemistry Letters. 12(13). 1743–1746. 15 indexed citations
20.
Mosier, Philip D., Anne E. Counterman, Peter C. Jurs, & David E. Clemmer. (2002). Prediction of Peptide Ion Collision Cross Sections from Topological Molecular Structure and Amino Acid Parameters. Analytical Chemistry. 74(6). 1360–1370. 38 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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