Chris E. Williams

56 papers receiving 2.8k citations

Peers

Chris E. Williams
Comparison fields: 5 of 110
  • Pediatrics, Perinatology and Child Health 1.2k
  • Developmental Neuroscience 244
  • Endocrine and Autonomic Systems 296
  • Cellular and Molecular Neuroscience 792
  • Critical Care and Intensive Care Medicine 129
Replace Donald Younkin with:
Donald Younkin United States
Adam Chodobski United States
Joanna Szmydynger‐Chodobska United States
Edwin B. Yan Australia
Catherine I. Rousset France
Kurtis I. Auguste United States
Rodney M. Ritzel United States
Petra M. Klinge United States
D. P. Becker United States
Morimi Shimada Japan
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Citations per field
00.5×6.5×
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Citations per year

Countries citing papers authored by Chris E. Williams

Since Specialization
Citations

This map shows the geographic impact of Chris E. 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 E. 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 E. Williams more than expected).

Fields of papers citing papers by Chris E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris E. 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 E. Williams. The network helps show where Chris E. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992205
2 1998174
3 1996162
4 2001155
5 1996145
6 1992135
7 1998134
8 1997112
9 1994103
10 1990102
11 199992
12 199782
13 201073
14 199573
15 199672
16 199671
17 200570
18 199669
19 200668
20 201268

About Chris E. Williams

Chris E. Williams is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Molecular Biology, Neurology and Cognitive Neuroscience, having authored 59 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (26 papers), Neonatal and fetal brain pathology (17 papers), EEG and Brain-Computer Interfaces (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Retinal Development and Disorders (6 papers), Photoreceptor and optogenetics research (6 papers), Advanced Memory and Neural Computing (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.2k citations), Developmental Neuroscience (244 citations), Endocrine and Autonomic Systems (296 citations), Cellular and Molecular Neuroscience (792 citations) and Critical Care and Intensive Care Medicine (129 citations). Chris E. Williams has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Peter D. Gluckman, Carina Mallard, Alistair J. Gunn, Ernest Sirimanne, Barbara M. Johnston, Paul E. Hughes, Arjan Scheepens, Mohit N. Shivdasani, Erica Beilharz and James B. Fallon. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Pediatric Research, Journal of Neural Engineering, American Journal of Obstetrics and Gynecology and Clinical and Experimental Ophthalmology.

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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