Harold Snieder
- Cardiology and Cardiovascular Medicine top 0.5%
- Genetics top 0.5%
- Molecular Biology top 2%
- Pediatrics, Perinatology and Child Health top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Tim D. SpectorAlex J. MacGregorFrank A. TreiberMarlies de LangeChristopher J. HammondXiaoling WangClare GilbertDorret I. Boomsma
- Topics
- Genetic Associations and Epidemiology (83 papers)Birth, Development, and Health (54 papers)Heart Rate Variability and Autonomic Control (48 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Harold Snieder
389 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Cardiology and Cardiovascular Medicine 3.2k
- Genetics 3.1k
- Molecular Biology 2.9k
- Pediatrics, Perinatology and Child Health 1.8k
- Endocrinology, Diabetes and Metabolism 1.8k
Countries citing papers authored by Harold Snieder
This map shows the geographic impact of Harold Snieder'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 Harold Snieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harold Snieder more than expected).
Fields of papers citing papers by Harold Snieder
This network shows the impact of papers produced by Harold Snieder. 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 Harold Snieder. The network helps show where Harold Snieder may publish in the future.
Co-authorship network of co-authors of Harold Snieder
This figure shows the co-authorship network connecting the top 25 collaborators of Harold Snieder. A scholar is included among the top collaborators of Harold Snieder 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 Harold Snieder. Harold Snieder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 81 | |
| 6 | 71 | |
| 7 | 11 | |
| 8 | 28 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | Haplotypes of Serotonin Transporter Gene Associated with Both Depressive Symptoms and Interleukin-6 in Middle-Aged Males: The Twins Heart Study | 0 |
| 13 | A Gene-wide Association Study of Heart Rate Variability at Rest and During Stress: 8 Genes in the Parasympathetic Pathway | 1 |
| 14 | 20 | |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 59 | |
| 18 | 373 | |
| 19 | 252 | |
| 20 | 31 |
About Harold Snieder
Harold Snieder is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Genetics, having authored 404 papers that have together received 15.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (83 papers), Birth, Development, and Health (54 papers) and Heart Rate Variability and Autonomic Control (48 papers). The work is most often cited by research in Behavioral Neuroscience (672 citations), Cardiology and Cardiovascular Medicine (3.2k citations) and Genetics (3.1k citations). Harold Snieder has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Tim D. Spector, Alex J. MacGregor, Frank A. Treiber, Marlies de Lange, Christopher J. Hammond, Xiaoling Wang, Clare Gilbert, Dorret I. Boomsma, Gregory A. Harshfield and Shaoyong Su. Their work appears in journals such as Science, New England Journal of Medicine and The Lancet.
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.