David L. Glanzman

5.6k citations
62 papers · 3.9k indexed · 1 hit paper · h-index 33
Topics
Neuroscience and Neuropharmacology Research (41 papers)Neurobiology and Insect Physiology Research (32 papers)Photoreceptor and optogenetics research (14 papers)

In The Last Decade

David L. Glanzman

62 papers receiving 3.8k citations

Hit Papers

Habituation revisited: An updated and revised description...200820262014202020082505007501000

Peers

David L. Glanzman
Comparison fields: 5 of 170
  • Cellular and Molecular Neuroscience 2.1k
  • Cognitive Neuroscience 1.4k
  • Molecular Biology 804
  • Cell Biology 507
  • Ecology, Evolution, Behavior and Systematics 398
Replace Vincent F. Castellucci with:
Vincent F. Castellucci Canada
Jan‐Marino Ramirez United States
Thomas W. Abrams United States
Weizhe Hong United States
Thomas Carew United States
Donald S. Faber United States
Maurice R. Elphick United Kingdom
Hee‐Sup Shin South Korea
Adrián G. Palacios Chile
Matthew W. Brown United States
David L. Glanzman relative to Vincent F. Castellucci Canada Vincent F. Castellucci's profile →
Citations per field
00.5×7.5×
Vincent F. Castellucci · 1×
Citations per year

Countries citing papers authored by David L. Glanzman

Since Specialization
Citations

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

Fields of papers citing papers by David L. Glanzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Glanzman. 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 David L. Glanzman. The network helps show where David L. Glanzman may publish in the future.

Co-authorship network of co-authors of David L. Glanzman

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Glanzman. A scholar is included among the top collaborators of David L. Glanzman 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 David L. Glanzman. David L. Glanzman 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 13
2 26
3 62
4 37
5 3
6 34
7 73
8 42
9 83
10 18
11 4
12 35
13 13
14 47
15 6
16 102
17 67
18 69
19 46
20 19

About David L. Glanzman

David L. Glanzman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 62 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Neurobiology and Insect Physiology Research (32 papers) and Photoreceptor and optogenetics research (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Cognitive Neuroscience (1.4k citations) and Aging (78 citations). David L. Glanzman has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Adam C. Roberts, Samuel Schacher, Diancai Cai, Geoffrey G. Murphy, Kaycey Pearce, Eric R. Kandel, Shanping Chen, Frances K. McSweeney, David F. Clayton and Seema Bhatnagar. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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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