Philip D. Mosier

3.1k citations
48 papers · 2.0k indexed · 1 hit paper · h-index 23
Topics
Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (13 papers)Pharmacological Receptor Mechanisms and Effects (11 papers)
Partner nations
United StatesChinaItaly

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 ...20122026201620212012200400600

Peers

Philip D. Mosier
Comparison fields: 5 of 113
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 925
  • Organic Chemistry 265
  • Cell Biology 256
  • Computational Theory and Mathematics 240
Replace HaJeung Park with:
HaJeung Park United States
Philip Jones United States
Thomas M. Frimurer Denmark
Kathleen A. Gallo United States
Qiang Zhao China
Peter Chase United States
Chaohong Sun United States
Stefan Dove Germany
Julianne J. Sando United States
Ricardo M. Biondi Germany
Philip D. Mosier relative to HaJeung Park United States HaJeung Park's profile →
Citations per field
00.5×3.4×
HaJeung Park · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 53
3 12
4 11
5 19
6 21
7 54
8 36
9 16
10
Structure of the human κ-opioid receptor in complex with JDTicbreakdown →
718
11 50
12 22
13 7
14 20
15 31
16 18
17 64
18 28
19 15
20 38

About Philip D. Mosier

Philip D. Mosier is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (13 papers) and Pharmacological Receptor Mechanisms and Effects (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (925 citations), Molecular Biology (1.5k citations) and Cell Biology (256 citations). Philip D. Mosier has collaborated with scholars based in United States, China and Italy. Frequent 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. Their work appears in journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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