J. Brockmöller

1.7k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

J. Brockmöller is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, J. Brockmöller has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 4 papers in Oncology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in J. Brockmöller's work include Pharmacogenetics and Drug Metabolism (8 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). J. Brockmöller is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). J. Brockmöller collaborates with scholars based in Germany, Sweden and Austria. J. Brockmöller's co-authors include Julia Kirchheiner, Miroslav Bauer, Julio Licínio, Ma‐Li Wong, I Roots, Roberto Viviani, Julia Stingl, Ivar Roots, Edoardo Spina and Kim Brøsen and has published in prestigious journals such as Molecular Psychiatry, Clinical Pharmacology & Therapeutics and Acta Psychiatrica Scandinavica.

In The Last Decade

J. Brockmöller

9 papers receiving 1.1k citations

Hit Papers

Pharmacogenetics of antidepressants and antipsychotics: t... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Brockmöller Germany 7 778 256 252 250 230 9 1.1k
Peter J. Wedlund United States 17 763 1.0× 415 1.6× 276 1.1× 203 0.8× 231 1.0× 39 1.4k
Werner Steimer Germany 22 512 0.7× 391 1.5× 315 1.3× 274 1.1× 140 0.6× 51 1.3k
Julio Benítez Spain 27 767 1.0× 269 1.1× 283 1.1× 353 1.4× 399 1.7× 52 1.9k
I Roots Germany 14 569 0.7× 246 1.0× 177 0.7× 185 0.7× 218 0.9× 19 1.2k
Per Dalén Sweden 14 656 0.8× 293 1.1× 254 1.0× 198 0.8× 233 1.0× 30 1.4k
Séverine Crettol Switzerland 18 586 0.8× 253 1.0× 454 1.8× 186 0.7× 286 1.2× 40 1.5k
Pedro Dorado Spain 26 1.3k 1.6× 360 1.4× 335 1.3× 340 1.4× 464 2.0× 83 1.9k
Nada Božina Croatia 23 482 0.6× 386 1.5× 355 1.4× 166 0.7× 423 1.8× 86 1.5k
Müller Dj Canada 4 802 1.0× 247 1.0× 347 1.4× 294 1.2× 189 0.8× 8 1.2k
Mike Ufer Switzerland 25 381 0.5× 172 0.7× 399 1.6× 131 0.5× 331 1.4× 67 1.9k

Countries citing papers authored by J. Brockmöller

Since Specialization
Citations

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

Fields of papers citing papers by J. Brockmöller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Brockmöller

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

All Works

9 of 9 papers shown
1.
Matthaei, Johannes, J. Brockmöller, Mladen V. Tzvetkov, et al.. (2015). Heritability of metoprolol and torsemide pharmacokinetics. Clinical Pharmacology & Therapeutics. 98(6). 611–621. 60 indexed citations
2.
Stingl, Julia, J. Brockmöller, & Roberto Viviani. (2012). Genetic variability of drug-metabolizing enzymes: the dual impact on psychiatric therapy and regulation of brain function. Molecular Psychiatry. 18(3). 273–287. 124 indexed citations
3.
Kirchheiner, Julia, Angela Seeringer, & J. Brockmöller. (2006). Stand der Pharmakogenetik in der klinischen Arzneimitteltherapie. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 49(10). 995–1003. 5 indexed citations
4.
Holstein, Andreas, A. Plaschke, Magdalena Ptak, et al.. (2005). Association between CYP2C9 slow metabolizer genotypes and severe hypoglycaemia on medication with sulphonylurea hypoglycaemic agents. British Journal of Clinical Pharmacology. 60(1). 103–106. 105 indexed citations
5.
Kirchheiner, Julia, et al.. (2005). Pharmakogenomik in der klinischen Praxis. Der Nervenarzt. 76(11). 1340–1354. 2 indexed citations
6.
Kirchheiner, Julia, Miroslav Bauer, Ma‐Li Wong, et al.. (2004). Pharmacogenetics of antidepressants and antipsychotics: the contribution of allelic variations to the phenotype of drug response. Molecular Psychiatry. 9(5). 442–473. 523 indexed citations breakdown →
7.
Neu, Peter, S. Seyfert, J. Brockmöller, Michael Dettling, & Peter Marx. (2002). Neuroleptic Malignant Syndrome in a Patient with Succinic Semialdehyde Dehydrogenase Deficiency. Pharmacopsychiatry. 35(1). 26–28. 10 indexed citations
8.
Kirchheiner, Julia, Kim Brøsen, Marja­‐Liisa Dahl, et al.. (2001). CYP2D6 and CYP2C19 genotype‐based dose recommendations for antidepressants:
a first step towards subpopulation‐specific dosages. Acta Psychiatrica Scandinavica. 104(3). 173–192. 294 indexed citations
9.
Mrozikiewicz, P.M., Ingolf Cascorbi, J. Brockmöller, & Ivar Roots. (1997). CYP1A1 mutations 4887A, 4889G, 5639C and 6235C in the Polish population and their allelic linkage, determined by peptide nucleic acid-mediated PCR clamping. Pharmacogenetics. 7(4). 303–307. 26 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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