G. Pilar

4.2k citations
47 papers · 3.5k indexed · h-index 32

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 15
    • Photoreceptor and optogenetics research 11
    • Neurobiology and Insect Physiology Research 7
    • Neuroscience and Neural Engineering 6

G. Pilar

47 papers receiving 3.2k citations

Peers

G. Pilar
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 2.4k
  • Developmental Neuroscience 341
  • Neurology 279
  • Molecular Biology 2.1k
  • Cell Biology 381
Replace Linda L.Y. Chun with:
Linda L.Y. Chun United States
Bernard Droz Switzerland
John T. Schmidt United States
Arthur Hess United States
John H. Caldwell United States
Robert B. Campenot Canada
Barbara J. McLaughlin United States
Virginia M. Tennyson United States
Naomasa Miki Japan
Ian A. Hendry Australia
G. Pilar relative to Linda L.Y. Chun United States Linda L.Y. Chun's profile →
Citations per field
00.5×1.6×
Linda L.Y. Chun · 1×
Citations per year

Countries citing papers authored by G. Pilar

Since Specialization
Citations

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

Fields of papers citing papers by G. Pilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Pilar, 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 G. Pilar Line = papers co-authored together G. Pilar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201653
2 19957
3 199310
4 199239
5 19913
6 199170
7
The regulation of neuronal number during embryonic chick development.
19881
8 198772
9 198230
10
Modulation of transmitter synthesis and release in cholinergic terminals.
19828
11 197965
12 1976110
13 1976124
14 197650
15 1971164
16 196947
17 196731
18 1963218
19 196393
20 196112

About G. Pilar

G. Pilar is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cell Biology and Cognitive Neuroscience, having authored 47 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Photoreceptor and optogenetics research (11 papers), Retinal Development and Disorders (11 papers), Neurobiology and Insect Physiology Research (7 papers), Neuroscience and Neural Engineering (6 papers), Ion channel regulation and function (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Developmental Neuroscience (341 citations), Neurology (279 citations), Molecular Biology (2.1k citations) and Cell Biology (381 citations). G. Pilar has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Lynn T. Landmesser, Andrew R. Martin, Arthur Hess, J. B. Suszkiw, J. N. Weakly, Leigh Burstein, K Vaca, David A. Johnson, Hideyuki Uchimura and Mario Giacobini. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, The Journal of Cell Biology, Journal of Neurophysiology and Brain Research.

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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