P.A. Grootenhuis

19 total papers · 1.6k total citations
16 papers, 1.3k citations indexed

About

P.A. Grootenhuis is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics. According to data from OpenAlex, P.A. Grootenhuis has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in P.A. Grootenhuis's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Research (6 papers) and Genetic Associations and Epidemiology (3 papers). P.A. Grootenhuis is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Management and Research (6 papers) and Genetic Associations and Epidemiology (3 papers). P.A. Grootenhuis collaborates with scholars based in Netherlands, United States and Vietnam. P.A. Grootenhuis's co-authors include L.M. Bouter, Robert J. Heine, Pieter J. Kostense, J.M. Mooy, Frank J. Snoek, H. de Vries, J. N. D. de Neeling, C. Popp‐Snijders, Ferdinand E E Van Der Does and Hans A. Valkenburg and has published in prestigious journals such as Diabetes Care, Journal of Clinical Epidemiology and Diabetologia.

In The Last Decade

P.A. Grootenhuis

15 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P.A. Grootenhuis	799	241	225	165	160	16	1.3k
Carrie S. Swift	931 1.2×	318 1.3×	321 1.4×	123 0.7×	123 0.8×	13	1.5k
Serpil Salman	519 0.6×	165 0.7×	234 1.0×	178 1.1×	175 1.1×	38	1.2k
Eeva Korpi-Hyövälti	585 0.7×	370 1.5×	276 1.2×	295 1.8×	103 0.6×	35	1.5k
Stephanie M. Benjamin	675 0.8×	316 1.3×	162 0.7×	160 1.0×	130 0.8×	24	1.6k
Lily Chu	599 0.7×	105 0.4×	158 0.7×	90 0.5×	73 0.5×	21	1.2k
Calum D. Moulton	381 0.5×	266 1.1×	175 0.8×	68 0.4×	157 1.0×	35	1.1k
Mary Larkin	946 1.2×	148 0.6×	175 0.8×	111 0.7×	114 0.7×	43	1.4k
Barbara EK Klein	347 0.4×	176 0.7×	123 0.5×	224 1.4×	124 0.8×	18	1.6k
GORDON L. NOEL	875 1.1×	147 0.6×	149 0.7×	328 2.0×	66 0.4×	25	1.8k
Henrietta Mulnier	799 1.0×	190 0.8×	145 0.6×	105 0.6×	313 2.0×	21	1.4k

Countries citing papers authored by P.A. Grootenhuis

Since Specialization

Citations

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

Fields of papers citing papers by P.A. Grootenhuis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.A. Grootenhuis. 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 P.A. Grootenhuis. The network helps show where P.A. Grootenhuis may publish in the future.

Co-authorship network of co-authors of P.A. Grootenhuis

This figure shows the co-authorship network connecting the top 25 collaborators of P.A. Grootenhuis. A scholar is included among the top collaborators of P.A. Grootenhuis 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 P.A. Grootenhuis. P.A. Grootenhuis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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