Mark de Groot

85 papers receiving 3k citations

Mark de Groot's Hit Papers

Rare and low-frequency coding variants alter human adult height 2017 · 483 citations
4830+3+6Years since publication100200300400

Peers

Mark de Groot
Comparison fields: 5 of 142
  • Geriatrics and Gerontology 161
  • Applied Microbiology and Biotechnology 66
  • Toxicology 146
  • Genetics 760
  • Health Informatics 35
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Mary T. Brophy United States
Bruce Carleton Canada
Gianni Tognoni Italy
Ellie Paige Australia
Richard P. Shannon United States
Harm Reinout Haak Netherlands
Francisco Abad‐Santos Spain
Sara L. Van Driest United States
Carol Lyn Armour Australia
Valeria Raparelli Italy
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Countries citing papers authored by Mark de Groot

Since Specialization
Citations

This map shows the geographic impact of Mark de Groot'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 Mark de Groot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark de Groot more than expected).

Fields of papers citing papers by Mark de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark de Groot. 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 Mark de Groot. The network helps show where Mark de Groot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rare and low-frequency coding variants alter human adult height
Hit paper breakdown →
2017483
2
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
Hit paper breakdown →
2017310
3 2012224
4 2019151
5 2017147
6 2014141
7 2015113
8 2000108
9 2016101
10 201599
11 200785
12 201953
13 201648
14 201544
15 200743
16 202039
17 201438
18 201538
19 201636
20 199935

About Mark de Groot

Mark de Groot is a scholar working on Toxicology, Health Information Management, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Oncology, having authored 89 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (15 papers), Genetic Associations and Epidemiology (8 papers), Cardiac Ischemia and Reperfusion (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (4 papers), Artificial Intelligence in Healthcare (4 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). The work is most often cited by research in Geriatrics and Gerontology (161 citations), Applied Microbiology and Biotechnology (66 citations), Toxicology (146 citations), Genetics (760 citations) and Health Informatics (35 citations). Mark de Groot has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Olaf H. Klungel, A.C. van Grootheest, Saskia Haitjema, Stefan Neubauer, Michael Horn, Hans E. van der Wiel, Robert F. Reynolds, Jan Jelrik Oosterheert, Linda Härmark and Helga Gardarsdóttir. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, European Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, PLoS ONE and The American Journal of Human Genetics.

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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