Michael Kassiou

14.0k total citations · 2 hit papers
309 papers, 10.3k citations indexed

About

Michael Kassiou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Michael Kassiou has authored 309 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Molecular Biology, 85 papers in Cellular and Molecular Neuroscience and 59 papers in Organic Chemistry. Recurrent topics in Michael Kassiou's work include Receptor Mechanisms and Signaling (54 papers), Neuroscience and Neuropharmacology Research (53 papers) and Pharmacological Receptor Mechanisms and Effects (51 papers). Michael Kassiou is often cited by papers focused on Receptor Mechanisms and Signaling (54 papers), Neuroscience and Neuropharmacology Research (53 papers) and Pharmacological Receptor Mechanisms and Effects (51 papers). Michael Kassiou collaborates with scholars based in Australia, United States and France. Michael Kassiou's co-authors include Louis M. Rendina, Samuel D. Banister, Fatiah Issa, Tristan A. Reekie, Steven R. Meikle, Jonathan J. Danon, Iain S. McGregor, Richard B. Banati, Michelle L. James and Frédéric Dollé and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Circulation.

In The Last Decade

Michael Kassiou

307 papers receiving 10.2k 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.

Boron in Drug Discovery: Carboranes as Unique Pharmacophores in Biologically Active Compounds

2011 619 citations Fatiah Issa, Michael Kassiou et al. profile →
Late-stage Functionalization for Improving Drug-like Molecular Properties

2023 135 citations Andrew P. Montgomery, Jonathan J. Danon et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kassiou Australia	54	3.5k	2.1k	1.9k	1.7k	1.6k	309	10.3k
Victor W. Pike United States	66	4.6k 1.3×	4.4k 2.1×	4.7k 2.5×	1.9k 1.2×	1.4k 0.9×	433	15.4k
Katia Varani Italy	64	5.2k 1.5×	2.3k 1.1×	336 0.2×	2.1k 1.2×	1.2k 0.7×	302	11.7k
Robert F. Dannals United States	69	4.9k 1.4×	6.8k 3.2×	4.5k 2.4×	690 0.4×	697 0.4×	360	17.9k
Guy Bormans Belgium	61	2.5k 0.7×	1.9k 0.9×	4.3k 2.3×	519 0.3×	623 0.4×	395	12.6k
Pier Andrea Borea Italy	64	5.9k 1.7×	2.4k 1.1×	341 0.2×	2.4k 1.4×	1.2k 0.7×	341	13.1k
Robert H. Mach United States	57	6.6k 1.9×	3.8k 1.8×	1.7k 0.9×	1.4k 0.8×	695 0.4×	380	14.0k
Sami S. Zoghbi United States	61	3.6k 1.0×	6.1k 2.9×	2.8k 1.5×	314 0.2×	1.3k 0.8×	271	14.2k
Michael R. Kilbourn United States	56	2.4k 0.7×	3.9k 1.9×	3.3k 1.7×	616 0.4×	368 0.2×	220	11.1k
Hayden T. Ravert United States	53	2.9k 0.8×	4.3k 2.0×	2.6k 1.4×	434 0.3×	253 0.2×	195	9.8k
Hideo Tsukada Japan	47	2.8k 0.8×	2.6k 1.2×	1.3k 0.7×	225 0.1×	831 0.5×	287	8.4k

Countries citing papers authored by Michael Kassiou

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kassiou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kassiou

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

Kassiou, Michael, et al.. (2024). Emerging TSPO-PET Radiotracers for Imaging Neuroinflammation: A Critical Analysis. Seminars in Nuclear Medicine. 54(6). 856–874. 9 indexed citations

Keller, Thomas H., Markus Matilainen, Jonathan J. Danon, et al.. (2024). Glial reactivity in a mouse model of beta-amyloid deposition assessed by PET imaging of P2X7 receptor and TSPO using [11C]SMW139 and [18F]F-DPA. EJNMMI Research. 14(1). 25–25. 4 indexed citations

Sullivan, Michael A., et al.. (2023). Three‐dimensional bioprinting of stem cell‐derived central nervous system cells enables astrocyte growth, vasculogenesis, and enhances neural differentiation/function. Biotechnology and Bioengineering. 120(10). 3079–3091. 14 indexed citations

Besnier, Marie, Owen Tang, Katharine A. Kott, et al.. (2023). High-Throughput Measure of Mitochondrial Superoxide Levels as a Marker of Coronary Artery Disease to Accelerate Drug Translation in Patient-Derived Endothelial Cells Using Opera Phenix® Technology. International Journal of Molecular Sciences. 25(1). 22–22. 4 indexed citations

Brumberg, Joachim, Anton Forsberg, Päivi Marjamäki, et al.. (2022). Quantification of the purinergic P2X₇ receptor with [¹¹C]SMW139 improves through correction for brain-penetrating radiometabolites. Journal of Cerebral Blood Flow & Metabolism. 43(2). 258–268. 4 indexed citations

Asih, Prita R., Anne Poljak, Michael Kassiou, Yazi D. Ke, & Lars M. Ittner. (2022). Differential mitochondrial protein interaction profile between human translocator protein and its A147T polymorphism variant. PLoS ONE. 17(5). e0254296–e0254296. 2 indexed citations

Bright, Fiona, Katherine Phan, Jillian J. Kril, et al.. (2022). Biomarker discovery and development for frontotemporal dementia and amyotrophic lateral sclerosis. Brain. 145(5). 1598–1609. 31 indexed citations

Sheikh, Zara, Peta Bradbury, Tristan A. Reekie, et al.. (2021). Tobramycin and Colistin display anti-inflammatory properties in CuFi-1 cystic fibrosis cell line. European Journal of Pharmacology. 902. 174098–174098. 2 indexed citations

Alsayed, Shahinda S. R., Eryn L. Werry, Chiang‐Ching Huang, et al.. (2021). Synthesis and antitumour evaluation of indole-2-carboxamides against paediatric brain cancer cells. RSC Medicinal Chemistry. 12(11). 1910–1925. 4 indexed citations

10.

Duggan, Peter J. & Michael Kassiou. (2021). Cannabis and Cannabinoids. Australian Journal of Chemistry. 74(6). 367–368. 1 indexed citations

11.

Moir, Michael, et al.. (2020). The discovery of a potent and selective pyrazolo-[2,3-e]-[1,2,4]-triazine cannabinoid type 2 receptor agonist. European Journal of Medicinal Chemistry. 210. 113087–113087. 3 indexed citations

12.

Sachdev, Shivani, Kiran Vemuri, Samuel D. Banister, et al.. (2019). In vitro determination of the efficacy of illicit synthetic cannabinoids at CB ₁ receptors. British Journal of Pharmacology. 176(24). 4653–4665. 39 indexed citations

13.

Drinkwater, Nyssa, Michael Kassiou, Leonardo Lucantoni, et al.. (2018). Hydroxamic Acid Inhibitors Provide Cross-Species Inhibition of Plasmodium M1 and M17 Aminopeptidases. Journal of Medicinal Chemistry. 62(2). 622–640. 27 indexed citations

14.

Kavanagh, Madeline E., Munikumar Reddy Doddareddy, & Michael Kassiou. (2013). The development of CNS-active LRRK2 inhibitors using property-directed optimisation. Bioorganic & Medicinal Chemistry Letters. 23(13). 3690–3696. 25 indexed citations

15.

Hicks, Callum, Christopher Brown, Joanna E. Fardell, et al.. (2012). The Nonpeptide Oxytocin Receptor Agonist WAY 267,464: Receptor‐Binding Profile, Prosocial Effects and Distribution of c‐Fos Expression in Adolescent Rats. Journal of Neuroendocrinology. 24(7). 1012–1029. 64 indexed citations

16.

Peyronneau, Marie‐Anne, Wadad Saba, Sébastien Goutal, et al.. (2012). Metabolism and Quantification of [18F]DPA-714, a New TSPO Positron Emission Tomography Radioligand. Drug Metabolism and Disposition. 41(1). 122–131. 65 indexed citations

17.

Issa, Fatiah, et al.. (2011). Synthesis and cellular uptake of boron-rich pyrazolopyrimidines: exploitation of the translocator protein for the efficient delivery of boron into human glioma cells. Chemical Communications. 47(44). 12179–12179. 34 indexed citations

18.

Endres, Christopher J., Martin G. Pomper, Michelle L. James, et al.. (2009). Initial Evaluation of ¹¹C-DPA-713, a Novel TSPO PET Ligand, in Humans. Journal of Nuclear Medicine. 50(8). 1276–1282. 114 indexed citations

19.

Chauveau, Fabien, Nadja Van Camp, Frédéric Dollé, et al.. (2009). Comparative Evaluation of the Translocator Protein Radioligands ¹¹C-DPA-713, ¹⁸F-DPA-714, and ¹¹C-PK11195 in a Rat Model of Acute Neuroinflammation. Journal of Nuclear Medicine. 50(3). 468–476. 194 indexed citations

20.

Boutin, Hervé, Fabien Chauveau, Cyrille Thominiaux, et al.. (2007). 11C-DPA-713: A Novel Peripheral Benzodiazepine Receptor PET Ligand for In Vivo Imaging of Neuroinflammation. Journal of Nuclear Medicine. 48(4). 573–581. 136 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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