H.A.P. Pols

29 total papers · 587 total citations
18 papers, 463 citations indexed

About

H.A.P. Pols is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, H.A.P. Pols has authored 18 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in H.A.P. Pols's work include Vitamin D Research Studies (9 papers), Estrogen and related hormone effects (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). H.A.P. Pols is often cited by papers focused on Vitamin D Research Studies (9 papers), Estrogen and related hormone effects (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). H.A.P. Pols collaborates with scholars based in Netherlands, Belgium and United Kingdom. H.A.P. Pols's co-authors include Johannes P.T.M. van Leeuwen, Ronald P. Stolk, Steven W. J. Lamberts, D. E. Grobbee, J. A. M. J. L. Janssen, J.C. Birkenhäger, David Feldman, Ada Staal, C.J. Buurman and Janet L. Stein and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and FEBS Letters.

In The Last Decade

H.A.P. Pols

17 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
H.A.P. Pols	206	199	168	121	67	18	463
Rong-Hsing Chen	140 0.7×	198 1.0×	65 0.4×	184 1.5×	36 0.5×	14	444
Ka Wah Li	95 0.5×	121 0.6×	75 0.4×	149 1.2×	69 1.0×	11	511
Min Shi	137 0.7×	124 0.6×	39 0.2×	58 0.5×	62 0.9×	24	471
Nora Hinsch	182 0.9×	109 0.5×	162 1.0×	54 0.4×	23 0.3×	15	487
Tatiana Kouznetsova	74 0.4×	166 0.8×	51 0.3×	44 0.4×	88 1.3×	19	497
Patrizia Di Fulvio	109 0.5×	169 0.8×	37 0.2×	54 0.4×	98 1.5×	13	478
R U Simpson	53 0.3×	154 0.8×	290 1.7×	91 0.8×	35 0.5×	12	497
Yan Yun Liu	111 0.5×	121 0.6×	79 0.5×	76 0.6×	69 1.0×	23	447
Ji Ho Suh	107 0.5×	297 1.5×	29 0.2×	128 1.1×	30 0.4×	27	535
Jean‐Brice Marteau	89 0.4×	159 0.8×	25 0.1×	97 0.8×	77 1.1×	20	480

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

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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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