Basil S. Pawlyk

5.6k citations
55 papers · 4.6k · h-index 30

Impact in

Papers in

Basil S. Pawlyk

55 papers receiving 4.5k citations

Peers

Basil S. Pawlyk
Comparison fields: 5 of 110
  • Ophthalmology 753
  • Endocrine and Autonomic Systems 384
  • Sensory Systems 225
  • Molecular Biology 3.2k
  • Cellular and Molecular Neuroscience 822
Replace Takahisa Furukawa with:
Takahisa Furukawa Japan
Philip M. Smallwood United States
Charles C. Searby United States
Patrick Y. Tong United States
Steven Nusinowitz United States
Tom M. Glaser United States
Mineo Kondo Japan
Dennis S. Rice United States
Terri L. McGee United States
Ruth Ashery‐Padan Israel
Basil S. Pawlyk relative to Takahisa Furukawa Japan Takahisa Furukawa's profile →
Citations per field
00.5×1.5×
Takahisa Furukawa · 1×
Citations per year

Countries citing papers authored by Basil S. Pawlyk

Since Specialization
Citations

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

Fields of papers citing papers by Basil S. Pawlyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basil S. Pawlyk. 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 Basil S. Pawlyk. The network helps show where Basil S. Pawlyk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004577
2 1992405
3 2007381
4 2006268
5 2000228
6 2007226
7 2003200
8 2003194
9 1998163
10 2006146
11 2005133
12 2010123
13 2003114
14 2005111
15 2007109
16 2004103
17
A role for the Tubby-like protein 1 in rhodopsin transport.
200196
18 200996
19 201491
20 201566

About Basil S. Pawlyk

Basil S. Pawlyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cell Biology and Sensory Systems, having authored 55 papers that have together received 4.6k indexed citations. Recurring topics across this work include Retinal Development and Disorders (42 papers), Photoreceptor and optogenetics research (11 papers), Retinal Diseases and Treatments (7 papers), CRISPR and Genetic Engineering (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Photochromic and Fluorescence Chemistry (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Ophthalmology (753 citations), Endocrine and Autonomic Systems (384 citations), Sensory Systems (225 citations), Molecular Biology (3.2k citations) and Cellular and Molecular Neuroscience (822 citations). Basil S. Pawlyk has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Tiansen Li, Michael A. Sandberg, Michael Adamian, Eliot L. Berson, Donghyun Hong, Yun Fu Zhao, Jiangang Gao, Jianping Zuo, Xiaoqing Liu and Oleg V. Bulgakov. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Proceedings of the National Academy of Sciences, Experimental Eye Research, Vision Research and Molecular and Cellular Biology.

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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