R. Lane Brown

2.6k total citations
47 papers, 2.1k citations indexed

About

R. Lane Brown is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, R. Lane Brown has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in R. Lane Brown's work include Retinal Development and Disorders (13 papers), Photoreceptor and optogenetics research (11 papers) and Neuroscience and Neuropharmacology Research (8 papers). R. Lane Brown is often cited by papers focused on Retinal Development and Disorders (13 papers), Photoreceptor and optogenetics research (11 papers) and Neuroscience and Neuropharmacology Research (8 papers). R. Lane Brown collaborates with scholars based in United States, Italy and Germany. R. Lane Brown's co-authors include Jeffrey W. Karpen, Tammie L. Haley, Francis W. Ruscetti, Thomas G. Kawakami, Russell H. Neubauer, Ralph F. Hopkins, Harvey Rabin, Robert M. Duvoisin, Catherine W. Morgans and Lubert Stryer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

R. Lane Brown

47 papers receiving 2.0k citations

Peers

R. Lane Brown
Comparison fields: 5 of 104
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 748
  • Genetics 391
  • Immunology 271
  • Sensory Systems 223
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Citations per field, relative to R. Lane Brown
R. Lane Brown · 1×
Citations per year, relative to R. Lane Brown
R. Lane Brown · 1×

Countries citing papers authored by R. Lane Brown

Since Specialization
Citations

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

Fields of papers citing papers by R. Lane Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Lane Brown. 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 R. Lane Brown. The network helps show where R. Lane Brown may publish in the future.

Co-authorship network of co-authors of R. Lane Brown

This figure shows the co-authorship network connecting the top 25 collaborators of R. Lane Brown. A scholar is included among the top collaborators of R. Lane Brown 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 R. Lane Brown. R. Lane Brown 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
# Work Indexed citations
1 2
2 1
3 26
4 19
5 247
6
The TRPM1 Channel: A Potential Role in the ON-Bipolar Cell Light Response
1
7
G-protein Signaling in Melanopsin-containing Retinal Ganglion Cells
1
8
Gene Expression Profiling of ON-Bipolar Cells From Mouse Retina
1
9
DNA Microarray Analysis of Melanopsin-Containing Retinal Ganglion Cells
1
10 57
11 99
12 175
13 39
14 31
15 28
16 18
17 77
18 36
19 55
20 33

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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