Lawrence G. Miller

4.2k citations
112 papers · 3.4k indexed · h-index 31
Topics
Neuroscience and Neuropharmacology Research (59 papers)Neurotransmitter Receptor Influence on Behavior (18 papers)Memory and Neural Mechanisms (16 papers)

In The Last Decade

Lawrence G. Miller

109 papers receiving 3.2k citations

Peers

Lawrence G. Miller
Comparison fields: 5 of 150
  • Cellular and Molecular Neuroscience 1.3k
  • Cognitive Neuroscience 614
  • Molecular Biology 609
  • Pharmacology 388
  • Psychiatry and Mental health 309
Replace Takaaki Hasegawa with:
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Martin W. Adler United States
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Lawrence G. Miller relative to Takaaki Hasegawa Japan Takaaki Hasegawa's profile →
Citations per field
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Takaaki Hasegawa · 1×
Citations per year

Countries citing papers authored by Lawrence G. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence G. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence G. Miller. 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 Lawrence G. Miller. The network helps show where Lawrence G. Miller may publish in the future.

Co-authorship network of co-authors of Lawrence G. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence G. Miller. A scholar is included among the top collaborators of Lawrence G. Miller 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 Lawrence G. Miller. Lawrence G. Miller 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
T-Lymphocyte Subsets in Smoking and Lung Cancer
0
2
Overcoming Barriers for "Niche" Learners Through Distance Education
1
3 7
4 5
5 20
6 18
7 13
8 18
9 74
10 1
11 23
12 30
13 7
14 46
15 3
16 31
17 77
18 82
19 11
20
Manual of clinical pulmonary medicine
4

About Lawrence G. Miller

Lawrence G. Miller is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Behavioral Neuroscience, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (59 papers), Neurotransmitter Receptor Influence on Behavior (18 papers) and Memory and Neural Mechanisms (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (257 citations) and Biological Psychiatry (133 citations). Lawrence G. Miller has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Richard I. Shader, David J. Greenblatt, D J Greenblatt, Jamie Barnhill, Wendy R. Galpern, Leo C. Ginns, Gideon Goldstein, Sydney M. Finegold, James Mountford and David Blumenthal. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Applied and Environmental Microbiology.

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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