H.A.P. Pols

491 total citations
8 papers, 404 citations indexed

About

H.A.P. Pols is a scholar working on Epidemiology, Nutrition and Dietetics and Endocrine and Autonomic Systems. According to data from OpenAlex, H.A.P. Pols has authored 8 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Nutrition and Dietetics and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in H.A.P. Pols's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Regulation of Appetite and Obesity (2 papers). H.A.P. Pols is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Regulation of Appetite and Obesity (2 papers). H.A.P. Pols collaborates with scholars based in Netherlands and United States. H.A.P. Pols's co-authors include Albert Hofman, Ronald P. Stolk, D. E. Grobbee, J.C. Birkenhäger, Henry Burger, D. Algra, Paul Van Daele, Johanna M. Geleijnse, Cees Vermeer and Jacqueline C.M. Witteman and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Clinical Endocrinology and Journal of Nutritional & Environmental Medicine.

In The Last Decade

H.A.P. Pols

8 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H.A.P. Pols Netherlands 8 106 103 97 87 68 8 404
Pablo Román‐García Spain 14 146 1.4× 120 1.2× 106 1.1× 149 1.7× 17 0.3× 19 700
Kafi N. Ealey Canada 11 56 0.5× 46 0.4× 52 0.5× 134 1.5× 122 1.8× 18 486
Annelies De Maré Belgium 8 42 0.4× 77 0.7× 50 0.5× 162 1.9× 19 0.3× 9 407
M Baranowski Poland 6 43 0.4× 127 1.2× 188 1.9× 31 0.4× 29 0.4× 14 528
Reiko Nakashima Japan 10 16 0.2× 41 0.4× 60 0.6× 78 0.9× 189 2.8× 15 420
L. M. Sandler United Kingdom 11 49 0.5× 38 0.4× 113 1.2× 65 0.7× 102 1.5× 17 524
Ylva Pernow Sweden 17 57 0.5× 212 2.1× 246 2.5× 153 1.8× 54 0.8× 31 740
Shunichi Higashide Japan 11 30 0.3× 33 0.3× 105 1.1× 95 1.1× 68 1.0× 28 477
Paulo Gustavo Sampaio Lacativa Brazil 12 24 0.2× 135 1.3× 74 0.8× 119 1.4× 31 0.5× 23 437
Eduardo Pusiol Argentina 8 36 0.3× 27 0.3× 105 1.1× 161 1.9× 111 1.6× 17 642

Countries citing papers authored by H.A.P. Pols

Since Specialization
Citations

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

Fields of papers citing papers by H.A.P. Pols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H.A.P. Pols

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

All Works

8 of 8 papers shown
1.
Alizadeh, Behrooz Z., Omer T. Njajou, C. Bijkerk, et al.. (2005). Evidence for a role of the genomic region of the gene encoding for the α1 chain of type IX collagen (COL9A1) in hip osteoarthritis: A population‐based study. Arthritis & Rheumatism. 52(5). 1437–1442. 18 indexed citations
2.
Sie, Mark P.S., Fakhredin A. Sayed‐Tabatabaei, Hok-Hay S. Oei, et al.. (2005). Interleukin 6 −174 G/C Promoter Polymorphism and Risk of Coronary Heart Disease. Arteriosclerosis Thrombosis and Vascular Biology. 26(1). 212–217. 84 indexed citations
3.
Schurgers, Leon J., Johanna M. Geleijnse, D. E. Grobbee, et al.. (1999). Nutritional Intake of Vitamins K1 (Phylloquinone) and K2 (Menaquinone) in The Netherlands. Journal of Nutritional & Environmental Medicine. 9(2). 115–122. 91 indexed citations
4.
Janssen, J. A. M. J. L., Nannette A. T. M. Huizenga, Ronald P. Stolk, et al.. (1998). The acute effect of dexamethasone on plasma leptin concentrations and the relationships between fasting leptin, the IGF‐I/IGFBP system, dehydroepiandrosterone, androstenedione and testosterone in an elderly population. Clinical Endocrinology. 48(5). 621–626. 25 indexed citations
5.
Janssen, J. A. M. J. L., J. W. Koper, Ronald P. Stolk, et al.. (1998). Lack of associations between serum leptin, a polymorphism in the gene for the β3‐adrenergic receptor and glucose tolerance in the Dutch population.. Clinical Endocrinology. 49(2). 229–234. 25 indexed citations
6.
Bom, Johanna G. van der, Michiel L. Bots, Huub H.D.M. van Vliet, et al.. (1996). Antithrombin and Atherosclerosis in the Rotterdam Study. Arteriosclerosis Thrombosis and Vascular Biology. 16(7). 864–867. 18 indexed citations
7.
Daele, Paul Van, Ronald P. Stolk, Henry Burger, et al.. (1995). BONE DENSITY IN NON- INSULIN-DEPENDENT DIABETES MELLITUS. 122(6). 409–414. 136 indexed citations
8.
Janssen, J. A. M. J. L., H.A.P. Pols, M.G.A. Baggen, & J.C. Birkenhäger. (1989). [Hypercalcemia in sarcoidosis].. PubMed. 133(48). 2399–402. 7 indexed citations

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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