Robert W. Williams
Impact in
- Aging top 0.2%
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Co-authors
- Lu LuPasko RakićJohan AuwerxKenneth F. ManlyLeo M. ChalupaBin XueVladimir N. UverskyElissa J. Chesler
- Journals
- PLoS ONE (23 papers)Journal of Neuroscience (18 papers)Genes Brain & Behavior (17 papers)Mammalian Genome (16 papers)Investigative Ophthalmology & Visual Science (12 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Robert W. Williams
541 papers receiving 23.4k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Aging 746
- Developmental Neuroscience 975
- Cellular and Molecular Neuroscience 3.4k
- Molecular Biology 11.6k
- Genetics 4.2k
Countries citing papers authored by Robert W. Williams
This map shows the geographic impact of Robert W. Williams'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 Robert W. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Williams more than expected).
Fields of papers citing papers by Robert W. Williams
This network shows the impact of papers produced by Robert W. Williams. 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 Robert W. Williams. The network helps show where Robert W. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert W. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 7 | |
| 11 | 2017 | 18 | |
| 12 | 2017 | 47 | |
| 13 | 2017 | 5 | |
| 14 | 2016 | 26 | |
| 15 | 2016 | 2 | |
| 16 | Genetic and immunohistochemical analysis of HSPA5 in mouse and human retinas. | 2016 | 2 |
| 17 | 2015 | 21 | |
| 18 | 2011 | 10 | |
| 19 | 2002 | 146 | |
| 20 | 1984 | 98 |
About Robert W. Williams
Robert W. Williams is a scholar working on Aging, Genetics, Developmental Neuroscience, Molecular Biology and Ophthalmology, having authored 564 papers that have together received 24.0k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (108 papers), Retinal Development and Disorders (70 papers), Bioinformatics and Genomic Networks (47 papers), Genetic and phenotypic traits in livestock (31 papers), Gene expression and cancer classification (30 papers), Glaucoma and retinal disorders (28 papers), Adipose Tissue and Metabolism (27 papers) and Neurogenesis and neuroplasticity mechanisms (20 papers). The work is most often cited by research in Aging (746 citations), Developmental Neuroscience (975 citations), Cellular and Molecular Neuroscience (3.4k citations), Molecular Biology (11.6k citations) and Genetics (4.2k citations). Robert W. Williams has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lu Lu, Pasko Rakić, Johan Auwerx, Kenneth F. Manly, Leo M. Chalupa, Bin Xue, Vladimir N. Uversky, Elissa J. Chesler, Gerald M. Rubin and A. Keith Dunker. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, Genes Brain & Behavior, Mammalian Genome and Investigative Ophthalmology & Visual Science.
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.