Eric Kan
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 5
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- Prenatal Substance Exposure Effects 17
- Birth, Development, and Health 12
- Neonatal and fetal brain pathology 11
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 4
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- Folate and B Vitamins Research 6
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- Eating Disorders and Behaviors 5
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- Obesity, Physical Activity, Diet 4
- Co-authors
- Elizabeth R. SowellPaul M. ThompsonArthur W. TogaChristiana M. LeonardSuzanne E. WelcomeSuzanne M. HoustonKimberly G. NobleJune Yoshii
- Journals
- Cerebral Cortex (6 papers)Journal of Neuroscience (5 papers)Alcoholism Clinical and Experimental Research (3 papers)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Eric Kan
38 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cognitive Neuroscience 1.7k
- Pediatrics, Perinatology and Child Health 1.2k
- Behavioral Neuroscience 200
- Developmental and Educational Psychology 390
- Radiology, Nuclear Medicine and Imaging 694
Countries citing papers authored by Eric Kan
This map shows the geographic impact of Eric Kan'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 Eric Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Kan more than expected).
Fields of papers citing papers by Eric Kan
This network shows the impact of papers produced by Eric Kan. 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 Eric Kan. The network helps show where Eric Kan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Kan, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 104 | |
| 10 | 2017 | 51 | |
| 11 | 2014 | 23 | |
| 12 | 2012 | 131 | |
| 13 | 2011 | 86 | |
| 14 | 2011 | 58 | |
| 15 | 2008 | 175 | |
| 16 | 2007 | 169 | |
| 17 | 2006 | 90 | |
| 18 | Sex Differences in Cortical Thickness Mapped in 176 Healthy Individuals between 7 and 87 Years of Agebreakdown → | 2006 | 506 |
| 19 | 2005 | 90 | |
| 20 | Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Childrenbreakdown → | 2004 | 1150 |
About Eric Kan
Eric Kan is a scholar working on Computational Mathematics, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 3.9k indexed citations. Recurring topics across this work include Prenatal Substance Exposure Effects (17 papers), Birth, Development, and Health (12 papers), Neonatal and fetal brain pathology (11 papers), Folate and B Vitamins Research (6 papers), Eating Disorders and Behaviors (5 papers), Functional Brain Connectivity Studies (5 papers), Stress Responses and Cortisol (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Pediatrics, Perinatology and Child Health (1.2k citations) and Behavioral Neuroscience (200 citations). Eric Kan has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Elizabeth R. Sowell, Paul M. Thompson, Arthur W. Toga, Christiana M. Leonard, Suzanne E. Welcome, Suzanne M. Houston, Kimberly G. Noble, June Yoshii, Sarah N. Mattson and Bradley S. Peterson. Their work appears in journals such as Cerebral Cortex, Journal of Neuroscience, Alcoholism Clinical and Experimental Research, Obesity and Neuroreport.
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.