Michael Groessl

5.8k total citations · 1 hit paper
88 papers, 4.5k citations indexed

About

Michael Groessl is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Michael Groessl has authored 88 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Oncology and 23 papers in Spectroscopy. Recurrent topics in Michael Groessl's work include Metal complexes synthesis and properties (25 papers), Mass Spectrometry Techniques and Applications (13 papers) and Ferrocene Chemistry and Applications (13 papers). Michael Groessl is often cited by papers focused on Metal complexes synthesis and properties (25 papers), Mass Spectrometry Techniques and Applications (13 papers) and Ferrocene Chemistry and Applications (13 papers). Michael Groessl collaborates with scholars based in Switzerland, Austria and Germany. Michael Groessl's co-authors include Christian G. Hartinger, Paul J. Dyson, Bernhard K. Keppler, Michael A. Jakupec, Alexander Egger, Haralabos Zorbas, Stefanie Zorbas‐Seifried, Richard Knochenmuss, Walter Berger and Alexey A. Nazarov and has published in prestigious journals such as Chemical Society Reviews, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Michael Groessl

86 papers receiving 4.5k 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.

KP1019, A New Redox‐Active Anticancer Agent – Preclinical Development and Results of a Clinical Phase I Study in Tumor Patients

2008 732 citations Christian G. Hartinger, Michael A. Jakupec et al. Chemistry & Biodiversity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Groessl Switzerland	37	2.4k	2.0k	1.2k	722	677	88	4.5k
Samuel M. Meier Austria	37	1.9k 0.8×	1.7k 0.9×	1.1k 0.9×	229 0.3×	406 0.6×	102	3.6k
Chiara Gabbiani Italy	46	4.0k 1.6×	3.3k 1.6×	1.8k 1.5×	415 0.6×	1.1k 1.6×	128	6.7k
Aviva Levina Australia	39	1.6k 0.7×	1.0k 0.5×	849 0.7×	278 0.4×	770 1.1×	119	4.7k
Domenico Osella Italy	40	2.6k 1.1×	3.4k 1.7×	1.3k 1.1×	257 0.4×	840 1.2×	247	5.8k
Akira Odani Japan	35	1.6k 0.7×	943 0.5×	1.1k 0.9×	976 1.4×	860 1.3×	123	3.9k
Ronald Gust Germany	49	4.1k 1.7×	5.3k 2.6×	2.6k 2.2×	329 0.5×	896 1.3×	271	9.4k
Joanna Izabela Lachowicz Italy	29	886 0.4×	833 0.4×	716 0.6×	251 0.3×	518 0.8×	86	3.0k
Alberto Vacca Italy	30	1.3k 0.5×	2.2k 1.1×	1.1k 0.9×	1.5k 2.1×	1.2k 1.8×	97	5.5k
Katherine J. Franz United States	41	1.3k 0.6×	1.1k 0.5×	1.5k 1.3×	1.1k 1.5×	1.5k 2.3×	103	5.6k
Andrea Erxleben Ireland	32	1.5k 0.6×	1.4k 0.7×	733 0.6×	368 0.5×	1.2k 1.7×	129	3.9k

Countries citing papers authored by Michael Groessl

Since Specialization

Citations

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

Fields of papers citing papers by Michael Groessl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Groessl

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Groessl. A scholar is included among the top collaborators of Michael Groessl 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 Michael Groessl. Michael Groessl 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

Flück, Christa E., et al.. (2026). Glucocorticoid trajectories in preterm infants—born too soon, wired differently. The Journal of Clinical Endocrinology & Metabolism. 1 indexed citations

Karahoda, Rona, Therina du Toit, Bárbara Fuenzalida, et al.. (2025). Landscape of Steroid Dynamics in Pregnancy: Insights From the Maternal-Placental-Fetal Unit and Placental Models. Molecular & Cellular Proteomics. 24(6). 100976–100976. 1 indexed citations

Abawi, Ozair, Grit Sommer, Michael Groessl, et al.. (2023). THU208 Predicting Treatment Quality Assessment Of Children With Congenital Adrenal Hyperplasia Using 24h Urine Metabolomics Profiling And A Machine Learning-assisted Approach. Journal of the Endocrine Society. 7(Supplement_1).

Kocher, Gregor J., Abigail R. Koss, Michael Groessl, et al.. (2022). Electrocautery smoke exposure and efficacy of smoke evacuation systems in minimally invasive and open surgery: a prospective randomized study. Scientific Reports. 12(1). 4941–4941. 5 indexed citations

Karahoda, Rona, Sampada Kallol, Michael Groessl, et al.. (2021). Revisiting Steroidogenic Pathways in the Human Placenta and Primary Human Trophoblast Cells. International Journal of Molecular Sciences. 22(4). 1704–1704. 36 indexed citations

Groessl, Michael, et al.. (2021). Salivary cortisol in healthy dogs: a randomized cross-over study to evaluate different saliva stimulation methods and their effects on saliva volume and cortisol concentration. BMC Veterinary Research. 17(1). 194–194. 4 indexed citations

Stettler, Christoph, et al.. (2020). Concentration and Chemical Stability of Commercially Available Insulins: A High-Resolution Mass Spectrometry Study. Diabetes Technology & Therapeutics. 22(4). 326–329. 3 indexed citations

Bochud, Murielle, Belén Ponte, Menno Pruijm, et al.. (2019). Urinary Sex Steroid and Glucocorticoid Hormones Are Associated With Muscle Mass and Strength in Healthy Adults. The Journal of Clinical Endocrinology & Metabolism. 104(6). 2195–2215. 16 indexed citations

Bileck, Andrea, Christa E. Flück, Nasser A. Dhayat, & Michael Groessl. (2018). How high-resolution techniques enable reliable steroid identification and quantification. The Journal of Steroid Biochemistry and Molecular Biology. 186. 74–78. 9 indexed citations

10.

Zhang, Xuan, Andrew T. Lambe, Mary Alice Upshur, et al.. (2017). Highly Oxygenated Multifunctional Compounds in α-Pinene Secondary Organic Aerosol. Environmental Science & Technology. 51(11). 5932–5940. 96 indexed citations

11.

Krechmer, Jordan, Michael Groessl, Xuan Zhang, et al.. (2016). Ion mobility spectrometry–mass spectrometry (IMS–MS) for on- and offlineanalysis of atmospheric gas and aerosol species. Atmospheric measurement techniques. 9(7). 3245–3262. 59 indexed citations

12.

Groessl, Michael & Christian G. Hartinger. (2012). Anticancer metallodrug research analytically painting the “omics” picture—current developments and future trends. Analytical and Bioanalytical Chemistry. 405(6). 1791–1808. 49 indexed citations

13.

Groessl, Michael, Olivier Zava, & Paul J. Dyson. (2011). Cellular uptake and subcellular distribution of ruthenium-based metallodrugs under clinical investigation versus cisplatin. Metallomics. 3(6). 591–591. 122 indexed citations

14.

Wu, Bin, Michelle S. Ong, Michael Groessl, et al.. (2011). A Ruthenium Antimetastasis Agent Forms Specific Histone Protein Adducts in the Nucleosome Core. Chemistry - A European Journal. 17(13). 3562–3566. 147 indexed citations

15.

Groessl, Michael, Yury O. Tsybin, Christian G. Hartinger, Bernhard K. Keppler, & Paul J. Dyson. (2010). Ruthenium versus platinum: interactions of anticancer metallodrugs with duplex oligonucleotides characterised by electrospray ionisation mass spectrometry. JBIC Journal of Biological Inorganic Chemistry. 15(5). 677–688. 86 indexed citations

16.

Groessl, Michael, M. Terenghi, Angela Casini, et al.. (2010). Reactivity of anticancer metallodrugs with serum proteins: new insights from size exclusion chromatography-ICP-MS and ESI-MS. Journal of Analytical Atomic Spectrometry. 25(3). 305–305. 92 indexed citations

17.

Stojanovic, Anja, Daniel Kogelnig, Lisa Fischer, et al.. (2010). Phosphonium and Ammonium Ionic Liquids with Aromatic Anions: Synthesis, Properties, and Platinum Extraction*. Australian Journal of Chemistry. 63(3). 511–524. 73 indexed citations

18.

Groessl, Michael, Christian G. Hartinger, Paul J. Dyson, & Bernhard K. Keppler. (2008). CZE–ICP-MS as a tool for studying the hydrolysis of ruthenium anticancer drug candidates and their reactivity towards the DNA model compound dGMP. Journal of Inorganic Biochemistry. 102(5-6). 1060–1065. 87 indexed citations

19.

Groessl, Michael, et al.. (2008). Elucidation of the Interactions of an Anticancer Ruthenium Complex in Clinical Trials with Biomolecules Utilizing Capillary Electrophoresis Hyphenated to Inductively Coupled Plasma‐Mass Spectrometry. Short Communication. Chemistry & Biodiversity. 5(8). 1609–1614. 31 indexed citations

20.

Zorbas‐Seifried, Stefanie, Michael A. Jakupec, Nikolay V. Kukushkin, et al.. (2006). Reversion of Structure-Activity Relationships of Antitumor Platinum Complexes by Acetoxime but Not Hydroxylamine Ligands. Molecular Pharmacology. 71(1). 357–365. 50 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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