Leif Bertilsson

612 total citations
9 papers, 500 citations indexed

About

Leif Bertilsson is a scholar working on Pharmacology, Molecular Biology and Pharmacology. According to data from OpenAlex, Leif Bertilsson has authored 9 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 2 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Leif Bertilsson's work include Pharmacogenetics and Drug Metabolism (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Leif Bertilsson is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Leif Bertilsson collaborates with scholars based in Sweden, Tanzania and China. Leif Bertilsson's co-authors include Gunnel Tybring, Marja-Liisa Dahl, Ming Chang, Qun‐Ying Yue, Inger Johansson, I. Persson, Magnus Ingelman‐Sundberg, Markus Jerling, Amos Massele and Agneta Wennerholm and has published in prestigious journals such as International Journal of Cancer, Pharmacology & Therapeutics and Clinical Pharmacology & Therapeutics.

In The Last Decade

Leif Bertilsson

9 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leif Bertilsson Sweden	8	327	135	134	101	60	9	500
Ya‐Qing Lou China	8	354 1.1×	118 0.9×	140 1.0×	108 1.1×	53 0.9×	24	552
Maryline Legrand France	7	363 1.1×	140 1.0×	157 1.2×	68 0.7×	33 0.6×	8	470
D S Hewick United Kingdom	11	262 0.8×	140 1.0×	91 0.7×	79 0.8×	60 1.0×	32	641
Hiromitsu Nakasa Japan	13	333 1.0×	137 1.0×	210 1.6×	55 0.5×	53 0.9×	30	596
EA Sotaniemi Finland	13	265 0.8×	130 1.0×	98 0.7×	69 0.7×	32 0.5×	23	570
Kristian T. Hansen Denmark	12	224 0.7×	256 1.9×	157 1.2×	81 0.8×	43 0.7×	18	666
Alvin N. Kotake United States	16	259 0.8×	132 1.0×	98 0.7×	84 0.8×	24 0.4×	27	663
Jolanta Widén Sweden	9	297 0.9×	67 0.5×	110 0.8×	114 1.1×	108 1.8×	9	488
Claire Belloc France	13	519 1.6×	225 1.7×	197 1.5×	103 1.0×	33 0.6×	15	789
Dafang Wu United States	8	211 0.6×	143 1.1×	75 0.6×	136 1.3×	68 1.1×	8	621

Countries citing papers authored by Leif Bertilsson

Since Specialization

Citations

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

Fields of papers citing papers by Leif Bertilsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leif Bertilsson

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

All Works

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9 of 9 papers shown

Persson, I., et al.. (1999). Genetic polymorphism of xenobiotic metabolizing enzymes among Chinese lung cancer patients. International Journal of Cancer. 81(3). 325–329. 86 indexed citations

Massele, Amos, Mary Jande, Christina Alm, et al.. (1998). Bantu Tanzanians have a decreased capacity to metabolize omeprazole and mephenytoin in relation to their CYP2C19 genotype*. Clinical Pharmacology & Therapeutics. 64(4). 391–401. 75 indexed citations

Tybring, Gunnel, et al.. (1997). The CYP2D6 Genotype and Plasma Concentrations of Mianserin Enantiomers in Relation to Therapeutic Response to Mianserin in Depressed Japanese Patients. Journal of Clinical Psychopharmacology. 17(6). 467–471. 31 indexed citations

Tybring, Gunnel, et al.. (1997). An S-mephenytoin cysteine conjugate identified in urine of extensive but not of poor metabolizers of S-mephenytoin. Pharmacogenetics. 7(5). 355–360. 6 indexed citations

Jerling, Markus, et al.. (1996). The CYP2D6 genotype predicts the oral clearance of the neuroleptic agents perphenazine and zuclopenthixol*. Clinical Pharmacology & Therapeutics. 59(4). 423–428. 67 indexed citations

Chang, Ming, et al.. (1995). Use of omeprazole as a probe drug for CYP2C19 phenotype in Swedish Caucasians: comparison with S-mephenytoin hydroxylation phenotype and CYP2C19 genotype. Pharmacogenetics. 5(6). 358–363. 177 indexed citations

Tybring, Gunnel & Leif Bertilsson. (1992). A methodological investigation on the estimation of the S-mephenytoin hydroxylation phenotype using the urinary S/R ratio. Pharmacogenetics. 2(5). 241–243. 23 indexed citations

Bertilsson, Leif, et al.. (1990). Factors influencing the metabolism of Diazepam. Pharmacology & Therapeutics. 45(1). 85–91. 19 indexed citations

Dumont, Étienne, Christer von Bahr, Thomas L. Perry, & Leif Bertilsson. (1987). Glucuronidation of the Enantiomers of E‐10‐Hydroxynortriptyline in Human and Rat Liver Microsomes. Pharmacology & Toxicology. 61(5). 335–341. 16 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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