Chris Williams
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Peter D. GluckmanErnest SirimanneMike DragunowBen DistelIda J. van der KleiMarlene van den BergJian GuanCarina Mallard
- Topics
- Peroxisome Proliferator-Activated Receptors (23 papers)Mitochondrial Function and Pathology (10 papers)Ubiquitin and proteasome pathways (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- NetherlandsNew ZealandUnited States
In The Last Decade
Chris Williams
77 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 181
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 424
- Pediatrics, Perinatology and Child Health 348
- Physiology 307
- Endocrinology, Diabetes and Metabolism 279
Countries citing papers authored by Chris Williams
This map shows the geographic impact of Chris 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 Chris Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Williams more than expected).
Fields of papers citing papers by Chris Williams
This network shows the impact of papers produced by Chris 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 Chris Williams. The network helps show where Chris Williams may publish in the future.
Co-authorship network of co-authors of Chris Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Williams. A scholar is included among the top collaborators of Chris Williams 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 Chris Williams. Chris Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 69 | |
| 12 | A Suprachoroidal Retinal Prosthesis with a Flexible Lead is Reliable for Patient Testing | 1 |
| 13 | 20 | |
| 14 | 50 | |
| 15 | 33 | |
| 16 | 45 | |
| 17 | 27 | |
| 18 | 3 | |
| 19 | NSW.net: securing the future of New South Wales public libraries | 1 |
| 20 | 324 |
About Chris Williams
Chris Williams is a scholar working on Developmental Neuroscience, Molecular Biology and Library and Information Sciences, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (23 papers), Mitochondrial Function and Pathology (10 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Developmental Neuroscience (257 citations), Cellular and Molecular Neuroscience (424 citations) and Neurology (186 citations). Chris Williams has collaborated with scholars based in Netherlands, New Zealand and United States. Frequent co-authors include Peter D. Gluckman, Ernest Sirimanne, Mike Dragunow, Ben Distel, Ida J. van der Klei, Marlene van den Berg, Jian Guan, Carina Mallard, Martin Klempt and Kuljeet Singh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.