Markus R. Baumgartner

4.2k total citations
133 papers, 2.8k citations indexed

About

Markus R. Baumgartner is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Markus R. Baumgartner has authored 133 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Toxicology, 38 papers in Cellular and Molecular Neuroscience and 27 papers in Pathology and Forensic Medicine. Recurrent topics in Markus R. Baumgartner's work include Forensic Toxicology and Drug Analysis (55 papers), Neurotransmitter Receptor Influence on Behavior (36 papers) and Alcohol Consumption and Health Effects (24 papers). Markus R. Baumgartner is often cited by papers focused on Forensic Toxicology and Drug Analysis (55 papers), Neurotransmitter Receptor Influence on Behavior (36 papers) and Alcohol Consumption and Health Effects (24 papers). Markus R. Baumgartner collaborates with scholars based in Switzerland, Germany and United States. Markus R. Baumgartner's co-authors include Thomas Kræmer, Boris B. Quednow, Matthias Vonmoos, Lea M. Hulka, Tina M. Binz, Katrin H. Preller, Erich Seifritz, Andrea E. Steuer, Daniela Jenni and Milena M. Madry and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Markus R. Baumgartner

132 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus R. Baumgartner Switzerland	32	962	708	539	420	418	133	2.8k
Diana G. Wilkins United States	38	1000 1.0×	1.4k 2.0×	425 0.8×	783 1.9×	150 0.4×	111	4.3k
Marie Balı́ková Czechia	22	890 0.9×	518 0.7×	483 0.9×	236 0.6×	118 0.3×	60	2.0k
Manfred R. Moeller Germany	27	1.3k 1.3×	548 0.8×	298 0.6×	211 0.5×	214 0.5×	44	2.7k
Luigi Gallimberti Italy	20	637 0.7×	660 0.9×	318 0.6×	299 0.7×	230 0.6×	44	1.8k
Johan Franck Sweden	37	301 0.3×	1.6k 2.2×	441 0.8×	648 1.5×	480 1.1×	133	4.1k
Cleo L. Crunelle Belgium	23	309 0.3×	428 0.6×	470 0.9×	234 0.6×	417 1.0×	82	2.0k
Jolanta B. Zawilska Poland	34	835 0.9×	1.4k 2.0×	528 1.0×	1.0k 2.5×	439 1.1×	174	3.7k
John Mendelson United States	31	725 0.8×	862 1.2×	479 0.9×	424 1.0×	118 0.3×	71	2.8k
Gilberto Gerra Italy	45	670 0.7×	1.6k 2.3×	1.3k 2.5×	635 1.5×	501 1.2×	152	5.8k
Hans Sachs Germany	30	888 0.9×	404 0.6×	209 0.4×	330 0.8×	64 0.2×	76	2.2k

Countries citing papers authored by Markus R. Baumgartner

Since Specialization

Citations

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

Fields of papers citing papers by Markus R. Baumgartner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus R. Baumgartner. 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 Markus R. Baumgartner. The network helps show where Markus R. Baumgartner may publish in the future.

Co-authorship network of co-authors of Markus R. Baumgartner

This figure shows the co-authorship network connecting the top 25 collaborators of Markus R. Baumgartner. A scholar is included among the top collaborators of Markus R. Baumgartner 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 Markus R. Baumgartner. Markus R. Baumgartner 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

Madry, Milena M., et al.. (2024). Comprehensive evaluation of cocaine and its hydroxy metabolites in seized cocaine and a large cohort of hair samples. Journal of Analytical Toxicology. 48(9). 672–683. 2 indexed citations

Cole, David M., Markus R. Baumgartner, Andrea E. Steuer, et al.. (2024). Chemical cousins with contrasting behavioural profiles: MDMA users and methamphetamine users differ in social-cognitive functions and aggression. European Neuropsychopharmacology. 83. 43–54. 2 indexed citations

Grison, Stéphane, et al.. (2024). Associations Between Self‐Reported Cocaine Use Patterns and Cocaine and Its Metabolites in Hair: Implications for Clinical and Forensic Practices. Drug Testing and Analysis. 17(8). 1186–1195. 1 indexed citations

Concheiro, Marta, Gail Cooper, Christian Bogdal, et al.. (2024). Development and validation of a liquid chromatography–tandem mass spectrometry (LC–MS/MS) method including 25 novel synthetic opioids in hair and subsequent analysis of a Swiss opioid consumer cohort. Drug Testing and Analysis. 16(11). 1384–1391. 4 indexed citations

Haugg, Amelie, Markus R. Baumgartner, Andrea E. Steuer, et al.. (2023). The functional connectome of 3,4‐methyldioxymethamphetamine‐related declarative memory impairments. Human Brain Mapping. 44(15). 5079–5094. 4 indexed citations

Hulka, Lea M., Matthias Vonmoos, Katrin H. Preller, et al.. (2023). Plasma endocannabinoids in cocaine dependence and their relation to cerebral metabotropic glutamate receptor 5 density. Translational Psychiatry. 13(1). 325–325. 7 indexed citations

Steinhoff, Annekatrin, Lilly Shanahan, Laura Bechtiger, et al.. (2023). When Substance Use Is Underreported: Comparing Self-Reports and Hair Toxicology in an Urban Cohort of Young Adults. Journal of the American Academy of Child & Adolescent Psychiatry. 62(7). 791–804. 31 indexed citations

Perlov, Evgeniy, Markus R. Baumgartner, Michael Soyka, et al.. (2023). Concomitant Drug Use among Opioid-Dependent Patients with and without Attention Deficit Hyperactivity Disorder: Does Methylphenidate Merit a Trial?. European Addiction Research. 29(5). 305–312. 3 indexed citations

Baumgartner, Markus R., et al.. (2022). Single sample preparation for the simultaneous extraction of drugs, pharmaceuticals, cannabinoids and endogenous steroids in hair. Analytical Methods. 14(44). 4583–4591. 8 indexed citations

10.

Thayer, Julian F., DeWayne P. Williams, Daniela M. Pfabigan, et al.. (2021). Chronic non‐medical prescription opioid use and empathy for pain: Does pain make the difference?. Psychophysiology. 58(4). e13776–e13776. 12 indexed citations

11.

Madry, Milena M., et al.. (2021). Significance of Metabolite Ratios in the Interpretation of Segmental Hair Testing Results—Differentiation of Single from Chronic Morphine Use in a Case Series. Metabolites. 11(8). 557–557. 2 indexed citations

12.

Binz, Tina M., et al.. (2020). Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color. Metabolites. 10(10). 381–381. 12 indexed citations

13.

Zoelch, Niklaus, Andreas Hock, Carlos Nordt, et al.. (2020). Impaired glutamate homeostasis in the nucleus accumbens in human cocaine addiction. Molecular Psychiatry. 26(9). 5277–5285. 39 indexed citations

14.

Baumgartner, Markus R., et al.. (2020). Simultaneous quantification of steroid hormones and endocannabinoids (ECs) in human hair using an automated supported liquid extraction (SLE) and LC-MS/MS – Insights into EC baseline values and correlation to steroid concentrations. Talanta. 222. 121499–121499. 54 indexed citations

15.

Kawecki, Maciej, et al.. (2020). Using time-of-flight secondary ion mass spectrometry (ToF-SIMS) and matrix assisted laser desorption/ionization mass spectrometry (MALDI-MS) for investigations on single hair samples to solve the contamination versus incorporation issue of hair analysis in the case of cocaine and methadone. The Analyst. 145(14). 4906–4919. 13 indexed citations

16.

Binz, Tina M., et al.. (2020). Cheating on forensic hair testing? Detection of potential biomarkers for cosmetically altered hair samples using untargeted hair metabolomics. The Analyst. 145(20). 6586–6599. 18 indexed citations

17.

Bernard, Laetitia, et al.. (2019). Hair Analysis: Contamination versus Incorporation from the Circulatory System—Investigations on Single Hair Samples Using Time-of-Flight Secondary Ion Mass Spectrometry and Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry. Analytical Chemistry. 91(6). 4132–4139. 29 indexed citations

18.

Binz, Tina M., et al.. (2019). A possible new oxidation marker for hair adulteration: Detection of PTeCA (1H‐pyrrole‐2,3,4,5‐tetracarboxylic acid) in bleached hair. Drug Testing and Analysis. 12(2). 230–238. 15 indexed citations

19.

Williams, DeWayne P., Matthias Staib, Tina M. Binz, et al.. (2018). Non-medical prescription opioid users exhibit dysfunctional physiological stress responses to social rejection. Psychoneuroendocrinology. 100. 264–275. 19 indexed citations

20.

Alladio, Eugenio, et al.. (2018). Systematic optimisation of ethyl glucuronide extraction conditions from scalp hair by design of experiments and its potential effect on cut‐off values appraisal. Drug Testing and Analysis. 10(9). 1394–1403. 15 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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