Stephen M. Lanier

6.2k citations
116 papers · 5.3k · h-index 45

Impact in

Papers in

    • Receptor Mechanisms and Signaling 77
    • Protein Kinase Regulation and GTPase Signaling 52
    • Metabolism, Diabetes, and Cancer 10
    • Neuropeptides and Animal Physiology 16
    • Neuroscience and Neuropharmacology Research 11
    • Neurotransmitter Receptor Influence on Behavior 10

Stephen M. Lanier

113 papers receiving 5.2k citations

Peers

Stephen M. Lanier
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1.9k
  • Aging 187
  • Molecular Biology 4.2k
  • Cell Biology 794
  • Immunology and Allergy 213
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Citations per field
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Citations per year

Countries citing papers authored by Stephen M. Lanier

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Lanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen M. Lanier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen M. Lanier Line = papers co-authored together Stephen M. Lanier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999243
2 2003201
3 2004198
4 1991197
5 1999169
6 1994152
7 2005141
8 2001129
9 2000128
10 1996128
11 1997122
12 2000117
13 1989110
14 2002102
15 200698
16 200494
17 200093
18 199890
19 200086
20 200579

About Stephen M. Lanier

Stephen M. Lanier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Surgery and Animal Science and Zoology, having authored 116 papers that have together received 5.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (77 papers), Protein Kinase Regulation and GTPase Signaling (52 papers), Neuropeptides and Animal Physiology (16 papers), Neuroscience and Neuropharmacology Research (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Pharmacological Effects and Assays (10 papers) and Pancreatic function and diabetes (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Aging (187 citations), Molecular Biology (4.2k citations), Cell Biology (794 citations) and Immunology and Allergy (213 citations). Stephen M. Lanier has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Emir Duzic, J Blumer, Yuri K. Peterson, Motohiko Sato, Mary J. Cismowski, Angelo Parini, Michael L. Bernard, Aya Takesono, C J Homcy and Alan V. Smrcka. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Cell Science and Annals of the New York Academy of Sciences.

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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