Hans Mulder

495 total citations
8 papers, 337 citations indexed

About

Hans Mulder is a scholar working on Pharmacology, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hans Mulder has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Pharmacology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hans Mulder's work include Pharmacogenetics and Drug Metabolism (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Pharmacology and Obesity Treatment (2 papers). Hans Mulder is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Pharmacology and Obesity Treatment (2 papers). Hans Mulder collaborates with scholars based in Netherlands, Australia and Austria. Hans Mulder's co-authors include Jesse J. Swen, Bob Wilffert, Vera H.M. Deneer, Gerard A. Rongen, Ron H. N. van Schaik, Nienke J. de Boer‐Veger, Marga Nijenhuis, Henk‐Jan Guchelaar, Elisa J. F. Houwink and Jan van der Weide and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Age and Ageing and BMJ Open.

In The Last Decade

Hans Mulder

8 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hans Mulder Netherlands	7	133	130	85	71	40	8	337
Yee Ming Lee United States	12	174 1.3×	37 0.3×	65 0.8×	119 1.7×	20 0.5×	22	345
Randall W. Knoebel United States	12	30 0.2×	59 0.5×	49 0.6×	108 1.5×	18 0.5×	35	315
Pauline Bosco‐Lévy France	13	28 0.2×	61 0.5×	56 0.7×	22 0.3×	23 0.6×	31	399
Valentina Shakhnovich United States	12	136 1.0×	45 0.3×	67 0.8×	141 2.0×	12 0.3×	50	486
Jinhai Shi China	7	18 0.1×	202 1.6×	60 0.7×	73 1.0×	64 1.6×	8	457
Dyson T. Wake United States	8	241 1.8×	26 0.2×	29 0.3×	165 2.3×	31 0.8×	13	358
Mary Jayne Kennedy United States	12	67 0.5×	23 0.2×	40 0.5×	89 1.3×	28 0.7×	24	316
Hoi Y. Tong Spain	12	86 0.6×	36 0.3×	20 0.2×	65 0.9×	9 0.2×	26	385
Youssef M. Roman United States	13	70 0.5×	48 0.4×	63 0.7×	19 0.3×	8 0.2×	41	434
Antonio Ciaccia Canada	10	39 0.3×	33 0.3×	39 0.5×	21 0.3×	25 0.6×	16	473

Countries citing papers authored by Hans Mulder

Since Specialization

Citations

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

Fields of papers citing papers by Hans Mulder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Mulder. 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 Hans Mulder. The network helps show where Hans Mulder may publish in the future.

Co-authorship network of co-authors of Hans Mulder

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

All Works

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8 of 8 papers shown

Matić, Maja, Marga Nijenhuis, Bianca Soree, et al.. (2021). Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene–drug interaction between CYP2D6 and opioids (codeine, tramadol and oxycodone). European Journal of Human Genetics. 30(10). 1105–1113. 31 indexed citations

Ruhé, Henricus G., et al.. (2020). [Discontinuation of SSRIs and SNRIs].. PubMed. 164. 1 indexed citations

Lunenburg, Carin A.T.C., Cathelijne H. van der Wouden, Marga Nijenhuis, et al.. (2019). Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene–drug interaction of DPYD and fluoropyrimidines. European Journal of Human Genetics. 28(4). 508–517. 153 indexed citations

Swen, Jesse J., Marga Nijenhuis, Nienke J. de Boer‐Veger, et al.. (2018). Pharmacogenetic Information in Clinical Guidelines: The European Perspective. Clinical Pharmacology & Therapeutics. 103(5). 795–801. 69 indexed citations

Taxis, Katja, Hans Wouters, Froukje Boersma, et al.. (2016). Cross-national comparison of medication use in Australian and Dutch nursing homes. Age and Ageing. 46(2). 319–319. 23 indexed citations

Wouters, Hans, Froukje Boersma, Hans Mulder, et al.. (2014). Discontinuing Inappropriate Medication in Nursing Home Residents (DIM-NHR Study): protocol of a cluster randomised controlled trial. BMJ Open. 4(10). e006082–e006082. 18 indexed citations

Wilffert, Bob, Jesse J. Swen, Hans Mulder, et al.. (2011). From evidence based medicine to mechanism based medicine. Reviewing the role of pharmacogenetics. International Journal of Clinical Pharmacy. 33(1). 3–9. 18 indexed citations

Wilffert, Bob, Jesse J. Swen, Hans Mulder, et al.. (2010). From evidence based medicine to mechanism based medicine. Reviewing the role of pharmacogenetics. International Journal of Clinical Pharmacy. 35(3). 369–375. 24 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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