André Dallmann

1.4k total citations
46 papers, 1.0k citations indexed

About

André Dallmann is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, André Dallmann has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 24 papers in Pediatrics, Perinatology and Child Health and 12 papers in Pharmacology. Recurrent topics in André Dallmann's work include Pregnancy and Medication Impact (26 papers), Pharmacological Effects and Toxicity Studies (16 papers) and Pharmacogenetics and Drug Metabolism (11 papers). André Dallmann is often cited by papers focused on Pregnancy and Medication Impact (26 papers), Pharmacological Effects and Toxicity Studies (16 papers) and Pharmacogenetics and Drug Metabolism (11 papers). André Dallmann collaborates with scholars based in Germany, United States and Switzerland. André Dallmann's co-authors include Thomas Eißing, Ibrahim Ince, Karel Allegaert, Georg Hempel, John van den Anker, Juri Solodenko, Stefan Willmann, Michaela Meyer, Homa K. Ahmadzia and Marc Pfister and has published in prestigious journals such as European Heart Journal, Journal of Pharmaceutical Sciences and Clinical Pharmacology & Therapeutics.

In The Last Decade

André Dallmann

44 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
André Dallmann Germany	19	517	456	248	113	107	46	1.0k
Ibrahim Ince Germany	14	216 0.4×	322 0.7×	78 0.3×	148 1.3×	72 0.7×	22	642
Rick Greupink Netherlands	24	313 0.6×	347 0.8×	173 0.7×	163 1.4×	332 3.1×	70	1.4k
Khaled Abduljalil United Kingdom	24	545 1.1×	768 1.7×	238 1.0×	403 3.6×	275 2.6×	55	1.8k
Lan Tran United States	10	142 0.3×	234 0.5×	169 0.7×	153 1.4×	103 1.0×	21	528
Sharon J. Gardiner New Zealand	19	428 0.8×	254 0.6×	107 0.4×	277 2.5×	126 1.2×	41	1.3k
Ganesh Cherala United States	18	305 0.6×	230 0.5×	119 0.5×	51 0.5×	75 0.7×	45	1.0k
Rihwa Choi South Korea	18	187 0.4×	153 0.3×	77 0.3×	52 0.5×	52 0.5×	80	857
Zahra Pezeshki Iran	19	204 0.4×	141 0.3×	68 0.3×	47 0.4×	43 0.4×	51	854
Zhigang Zhao China	23	223 0.4×	265 0.6×	46 0.2×	66 0.6×	134 1.3×	108	1.6k
Silvia Iacobelli France	23	126 0.2×	612 1.3×	347 1.4×	73 0.6×	122 1.1×	90	1.8k

Countries citing papers authored by André Dallmann

Since Specialization

Citations

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

Fields of papers citing papers by André Dallmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Dallmann

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

All Works

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20 of 20 papers shown

Vertzoni, Maria, Sebastian Frechen, Juri Solodenko, et al.. (2025). Development of a novel physiologically based biopharmaceutics modeling (PBBM) framework using the open systems pharmacology suite, part 2: in vivo pharmacokinetic modeling of vericiguat. European Journal of Pharmaceutical Sciences. 212. 107189–107189. 1 indexed citations

Frechen, Sebastian, et al.. (2025). Development of a novel physiologically based biopharmaceutics modeling (PBBM) framework using the open systems pharmacology suite, part 1: in vitro modeling of vericiguat. European Journal of Pharmaceutical Sciences. 212. 107164–107164. 3 indexed citations

Dallmann, André, et al.. (2024). PBPK modeling: What is the role of CYP3A4 expression in the gastrointestinal tract to accurately predict first‐pass metabolism?. CPT Pharmacometrics & Systems Pharmacology. 14(1). 130–141.

Dallmann, André, John van den Anker, Homa K. Ahmadzia, & Natella Rakhmanina. (2023). Mechanistic Modeling of the Drug‐Drug Interaction Between Efavirenz and Dolutegravir: Is This Interaction Clinically Relevant When Switching From Efavirenz to Dolutegravir During Pregnancy?. The Journal of Clinical Pharmacology. 63(S1). S81–S95. 3 indexed citations

Frechen, Sebastian, Ibrahim Ince, André Dallmann, et al.. (2023). Applied physiologically‐based pharmacokinetic modeling to assess uridine diphosphate‐glucuronosyltransferase‐mediated drug–drug interactions for Vericiguat. CPT Pharmacometrics & Systems Pharmacology. 13(1). 79–92. 7 indexed citations

Dong, Min, Russell E. Ware, André Dallmann, & Alexander A. Vinks. (2023). Hydroxyurea treatment for sickle cell anemia during pregnancy and lactation: Current evidence and knowledge gaps. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 43(5). 419–429. 8 indexed citations

Green, Dionna J., et al.. (2023). Development of a Generic Fetal Physiologically Based Pharmacokinetic Model and Prediction of Human Maternal and Fetal Organ Concentrations of Cefuroxime. Clinical Pharmacokinetics. 63(1). 69–78. 1 indexed citations

Maaß, Christian, et al.. (2023). Considering developmental neurotoxicityin vitrodata for human health risk assessment using physiologically-based kinetic modeling: deltamethrin case study. Toxicological Sciences. 192(1). 59–70. 7 indexed citations

Kapraun, Dustin F., Robert G. Pearce, Annie Lumen, et al.. (2022). Evaluation of a rapid, generic human gestational dose model. Reproductive Toxicology. 113. 172–188. 10 indexed citations

10.

Zheng, Liang, Hongyi Yang, André Dallmann, et al.. (2022). Physiologically Based Pharmacokinetic Modeling in Pregnant Women Suggests Minor Decrease in Maternal Exposure to Olanzapine. Frontiers in Pharmacology. 12. 793346–793346. 20 indexed citations

11.

Momper, Jeremiah D., Natella Rakhmanina, Dionna J. Green, et al.. (2021). Physiologically Based Pharmacokinetic Modeling Framework to Predict Neonatal Pharmacokinetics of Transplacentally Acquired Emtricitabine, Dolutegravir, and Raltegravir. Clinical Pharmacokinetics. 60(6). 795–809. 17 indexed citations

12.

Green, Dionna J., John N. van den Anker, Natella Rakhmanina, et al.. (2021). Mechanistic Modeling of Placental Drug Transfer in Humans: How Do Differences in Maternal/Fetal Fraction of Unbound Drug and Placental Influx/Efflux Transfer Rates Affect Fetal Pharmacokinetics?. Frontiers in Pediatrics. 9. 723006–723006. 10 indexed citations

13.

Mian, Paola, John N. van den Anker, Kristel Van Calsteren, et al.. (2021). Mechanistic Coupling of a Novel in silico Cotyledon Perfusion Model and a Physiologically Based Pharmacokinetic Model to Predict Fetal Acetaminophen Pharmacokinetics at Delivery. Frontiers in Pediatrics. 9. 733520–733520. 10 indexed citations

14.

Momper, Jeremiah D., Natella Rakhmanina, Dionna J. Green, et al.. (2020). Prediction of Maternal and Fetal Pharmacokinetics of Dolutegravir and Raltegravir Using Physiologically Based Pharmacokinetic Modeling. Clinical Pharmacokinetics. 59(11). 1433–1450. 20 indexed citations

15.

Pépin, Xavier, Jennifer Dressman, Neil Parrott, et al.. (2020). In Vitro Biopredictive Methods: A Workshop Summary Report. Journal of Pharmaceutical Sciences. 110(2). 567–583. 17 indexed citations

16.

Dallmann, André, et al.. (2020). Integration of physiological changes during the postpartum period into a PBPK framework and prediction of amoxicillin disposition before and shortly after delivery. Journal of Pharmacokinetics and Pharmacodynamics. 47(4). 341–359. 18 indexed citations

17.

Mian, Paola, Karel Allegaert, Pieter Annaert, et al.. (2020). Integration of Placental Transfer in a Fetal–Maternal Physiologically Based Pharmacokinetic Model to Characterize Acetaminophen Exposure and Metabolic Clearance in the Fetus. Clinical Pharmacokinetics. 59(7). 911–925. 42 indexed citations

18.

Mian, Paola, John N. van den Anker, Kristel Van Calsteren, et al.. (2019). Physiologically Based Pharmacokinetic Modeling to Characterize Acetaminophen Pharmacokinetics and N-Acetyl-p-Benzoquinone Imine (NAPQI) Formation in Non-Pregnant and Pregnant Women. Clinical Pharmacokinetics. 59(1). 97–110. 48 indexed citations

19.

Dallmann, André, Ibrahim Ince, Michaela Meyer, et al.. (2017). Gestation-Specific Changes in the Anatomy and Physiology of Healthy Pregnant Women: An Extended Repository of Model Parameters for Physiologically Based Pharmacokinetic Modeling in Pregnancy. Clinical Pharmacokinetics. 56(11). 1303–1330. 96 indexed citations

20.

Dallmann, André, Ibrahim Ince, Katrin Coboeken, Thomas Eißing, & Georg Hempel. (2017). A Physiologically Based Pharmacokinetic Model for Pregnant Women to Predict the Pharmacokinetics of Drugs Metabolized Via Several Enzymatic Pathways. Clinical Pharmacokinetics. 57(6). 749–768. 61 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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