Bob Wilffert

7.7k total citations · 1 hit paper
235 papers, 5.7k citations indexed

About

Bob Wilffert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Bob Wilffert has authored 235 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 58 papers in Cellular and Molecular Neuroscience and 40 papers in Physiology. Recurrent topics in Bob Wilffert's work include Receptor Mechanisms and Signaling (53 papers), Neuroscience and Neuropharmacology Research (34 papers) and Pharmacogenetics and Drug Metabolism (29 papers). Bob Wilffert is often cited by papers focused on Receptor Mechanisms and Signaling (53 papers), Neuroscience and Neuropharmacology Research (34 papers) and Pharmacogenetics and Drug Metabolism (29 papers). Bob Wilffert collaborates with scholars based in Netherlands, New Zealand and Russia. Bob Wilffert's co-authors include Pieter A. van Zwieten, A. de Jonge, Eelko Hak, Jan van der Weide, Henk‐Jan Guchelaar, Jesse J. Swen, Vera H.M. Deneer, Tom Schalekamp, Daan J. Touw and Pieter B.M.W.M. Timmermans and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Bob Wilffert

226 papers receiving 5.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pharmacogenetics: From Bench to Byte— An Update of Guidelines

2011 747 citations Jesse J. Swen, Marga Nijenhuis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bob Wilffert Netherlands	37	1.7k	1.7k	872	806	747	235	5.7k
Jules Desmeules Switzerland	42	1.9k 1.1×	774 0.5×	420 0.5×	956 1.2×	1.2k 1.6×	240	6.4k
José A. G. Agúndez Spain	48	2.7k 1.6×	2.1k 1.3×	451 0.5×	695 0.9×	950 1.3×	295	8.4k
Stephan Krähenbühl Switzerland	50	1.5k 0.9×	3.0k 1.8×	420 0.5×	733 0.9×	894 1.2×	227	8.6k
Tatsuji Iga Japan	39	1.6k 0.9×	1.4k 0.8×	448 0.5×	830 1.0×	386 0.5×	340	5.8k
Chin B. Eap Switzerland	51	2.5k 1.4×	1.4k 0.8×	731 0.8×	1.9k 2.3×	739 1.0×	288	9.2k
Felix Bochner Australia	42	1.3k 0.8×	710 0.4×	472 0.5×	1.1k 1.4×	930 1.2×	162	5.3k
Yasufumi Sawada Japan	46	2.1k 1.2×	1.8k 1.1×	647 0.7×	1.7k 2.1×	404 0.5×	362	7.7k
Julia Kirchheiner Germany	46	3.6k 2.1×	1.2k 0.7×	428 0.5×	1.1k 1.4×	425 0.6×	105	6.5k
Andrew A. Somogyi Australia	50	2.1k 1.2×	1.3k 0.8×	1.3k 1.5×	1.7k 2.1×	1.8k 2.4×	253	9.1k
C. H. Gleiter Germany	18	640 0.4×	1.5k 0.9×	431 0.5×	392 0.5×	588 0.8×	46	6.3k

Countries citing papers authored by Bob Wilffert

Since Specialization

Citations

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

Fields of papers citing papers by Bob Wilffert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Wilffert

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Emmens, Johanna E., Stijn de Vos, Jens Bos, et al.. (2022). Sex disparities in the effect of statins on lipid parameters: The PharmLines Initiative. Utrecht University Repository (Utrecht University). 14 indexed citations

Pozhidaev, Ivan V., A.J.M. Loonen, Г. Г. Симуткин, et al.. (2022). Polymorphisms in the adrenergic neurotransmission pathway impact antidepressant response in depressed patients. Neuroscience Applied. 2. 101016–101016. 3 indexed citations

Pozhidaev, Ivan V., Г. Г. Симуткин, Н. А. Бохан, et al.. (2021). Influence of eight ABCB1 polymorphisms on antidepressant response in a prospective cohort of treatment‐free Russian patients with moderate or severe depression: An explorative psychopharmacological study with naturalistic design. Human Psychopharmacology Clinical and Experimental. 37(3). e2826–e2826. 7 indexed citations

Loonen, A.J.M., Г. Г. Симуткин, Н. А. Бохан, et al.. (2021). A New Paradigm to Indicate Antidepressant Treatments. Pharmaceuticals. 14(12). 1288–1288. 2 indexed citations

Brouwer, J., Marga Nijenhuis, Bianca Soree, et al.. (2021). Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2C19 and CYP2D6 and SSRIs. European Journal of Human Genetics. 30(10). 1114–1120. 78 indexed citations

Pozhidaev, Ivan V., A.J.M. Loonen, Г. Г. Симуткин, et al.. (2021). Preliminary Pharmacogenetic Study to Explore Putative Dopaminergic Mechanisms of Antidepressant Action. Journal of Personalized Medicine. 11(8). 731–731. 4 indexed citations

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

Fedorenko, Olga, A.J.M. Loonen, Ivan V. Pozhidaev, et al.. (2020). Association of ANKK1 polymorphism with antipsychotic‐induced hyperprolactinemia. Human Psychopharmacology Clinical and Experimental. 35(4). e2737–e2737. 3 indexed citations

Pozhidaev, Ivan V., Anastasiia S. Boiko, A.J.M. Loonen, et al.. (2020). <p>Association of Cholinergic Muscarinic M4 Receptor Gene Polymorphism with Schizophrenia</p>. The Application of Clinical Genetics. Volume 13. 97–105. 11 indexed citations

10.

Akkerman, Onno W., Connie Erkens, Susan van den Hof, et al.. (2020). Towards elimination of childhood and adolescent tuberculosis in the Netherlands: an epidemiological time-series analysis of national surveillance data. European Respiratory Journal. 56(4). 2001086–2001086. 4 indexed citations

11.

Loonen, A.J.M., Fokko J. Bosker, Г. Г. Симуткин, et al.. (2019). Investigating the potential role of BDNF and PRL genotypes on antidepressant response in depression patients: A prospective inception cohort study in treatment-free patients. Journal of Affective Disorders. 259. 432–439. 11 indexed citations

12.

Ivanova, Svetlana А., В. М. Алифирова, Ivan V. Pozhidaev, et al.. (2018). Polymorphisms of Catechol-O-Methyl Transferase (COMT) Gene in Vulnerability to Levodopa-Induced Dyskinesia. Journal of Pharmacy & Pharmaceutical Sciences. 21(1). 340–346. 10 indexed citations

13.

Levchenko, Аnastasia, Г. Г. Симуткин, Н. А. Бохан, et al.. (2018). The functional variant rs334558 of <em>GSK3B</em> is associated with remission in patients with depressive disorders. Pharmacogenomics and Personalized Medicine. Volume 11. 121–126. 11 indexed citations

14.

Paardekooper, J., et al.. (2014). A simple dried blood spot method for therapeutic drug monitoring of the tricyclic antidepressants amitriptyline, nortriptyline, imipramine, clomipramine, and their active metabolites using LC-MS/MS. Talanta. 134. 165–172. 66 indexed citations

15.

Paardekooper, J., et al.. (2014). Determination of venlafaxine and O-desmethylvenlafaxine in dried blood spots for TDM purposes, using LC-MS/MS. Analytical and Bioanalytical Chemistry. 406(9-10). 2349–2353. 31 indexed citations

16.

Knol, Wilma, Rob J. van Marum, Paul A. F. Jansen, et al.. (2013). Genetic Variation and the Risk of Haloperidol-Related Parkinsonism in Elderly Patients. Journal of Clinical Psychopharmacology. 33(3). 405–410. 12 indexed citations

17.

Nijenhuis, Cynthia M., Peter G. J. ter Horst, Lolkje T.W. de Jong‐van den Berg, & Bob Wilffert. (2011). Disturbed development of the enteric nervous system afterin uteroexposure of selective serotonin re‐uptake inhibitors and tricyclic antidepressants. Part 1: Literature review. British Journal of Clinical Pharmacology. 73(1). 16–26. 17 indexed citations

18.

Wilffert, Bob, et al.. (1991). Veratridine-induced intoxication in the isolated left atrium of the rat: Effects of some anti-ischemic compounds. Naunyn-Schmiedeberg s Archives of Pharmacology. 344(1). 101–6. 14 indexed citations

19.

Widdicombe, J. G., et al.. (1988). Comparison of mucus flow rate, radiolabelled glycoprotein output and smooth muscle contraction in the ferret trachea in vitro. British Journal of Pharmacology. 94(2). 293–298. 6 indexed citations

20.

Zwieten, P. A. van, et al.. (1984). Effects of urapidil on blood pressure and adrenoceptors in various animal models.. University of Groningen research database (University of Groningen / Centre for Information Technology). 2(3). S539–41. 8 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.

Explore authors with similar magnitude of impact