Thomas Simmet

12.8k total citations
145 papers, 5.5k citations indexed

About

Thomas Simmet is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Thomas Simmet has authored 145 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 37 papers in Pharmacology and 30 papers in Immunology. Recurrent topics in Thomas Simmet's work include Pharmacological Effects of Medicinal Plants (24 papers), Natural product bioactivities and synthesis (13 papers) and Cell Adhesion Molecules Research (13 papers). Thomas Simmet is often cited by papers focused on Pharmacological Effects of Medicinal Plants (24 papers), Natural product bioactivities and synthesis (13 papers) and Cell Adhesion Molecules Research (13 papers). Thomas Simmet collaborates with scholars based in Germany, Egypt and United States. Thomas Simmet's co-authors include Tatiana Syrovets, Berthold Büchele, Yves Laumonnier, Ladislav Burýšek, Felicitas Genze, Katharina Landfester, Volker Mailänder, Angela Ameri, Cornelia Loos and Marina Jendrach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Simmet

143 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Simmet Germany 41 2.3k 1.1k 970 836 550 145 5.5k
Tatiana Syrovets Germany 40 2.8k 1.2× 815 0.7× 1.2k 1.2× 700 0.8× 502 0.9× 109 6.6k
Alice P. Pentland United States 39 1.5k 0.6× 869 0.8× 636 0.7× 1.2k 1.4× 351 0.6× 94 5.9k
Stefan Zahler Germany 45 2.8k 1.2× 422 0.4× 1.2k 1.2× 657 0.8× 574 1.0× 190 7.6k
Patrick Netter France 41 1.9k 0.8× 1.1k 1.0× 526 0.5× 484 0.6× 129 0.2× 176 6.0k
Ling Li China 45 3.7k 1.6× 636 0.6× 1.0k 1.1× 1.1k 1.3× 138 0.3× 304 7.0k
Zichun Hua China 43 3.8k 1.6× 322 0.3× 1.1k 1.1× 869 1.0× 203 0.4× 300 7.6k
Yu-Jen Chen Taiwan 44 2.4k 1.0× 663 0.6× 380 0.4× 760 0.9× 116 0.2× 277 6.1k
Morten Hansen Denmark 35 2.4k 1.0× 271 0.2× 1.6k 1.7× 341 0.4× 290 0.5× 100 6.3k
Thorsten Berger Canada 32 2.6k 1.1× 243 0.2× 1.2k 1.2× 453 0.5× 267 0.5× 48 6.0k
Heinfried H. Radeke Germany 43 2.7k 1.1× 256 0.2× 2.0k 2.1× 616 0.7× 328 0.6× 130 6.2k

Countries citing papers authored by Thomas Simmet

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Simmet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Simmet

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

All Works

20 of 20 papers shown
1.
Schmiech, Michael, et al.. (2025). Comparative analysis of micellar and native formulations of Boswellia serrata oleogum extracts in T-cell receptor-activated lymphocytes. Biomedicine & Pharmacotherapy. 186. 118009–118009.
3.
Loos, Cornelia, Thomas Simmet, & Tatiana Syrovets. (2024). Role of nanoparticle surface charge in their toxicity. SHILAP Revista de lepidopterología. 575. 2009–2009. 1 indexed citations
4.
El‐Halawany, Ali M., Azza A. Moustafa, Hossam M. Abdallah, et al.. (2024). Prenylated xanthones from mangosteen (Garcinia mangostana) target oxidative mitochondrial respiration in cancer cells. Biomedicine & Pharmacotherapy. 179. 117365–117365. 3 indexed citations
5.
Lederer, Ann‐Kathrin, Stefanie Joos, Jan Valentini, et al.. (2021). Complementary medicine in Germany: a multi-centre cross-sectional survey on the usage by and the needs of patients hospitalized in university medical centers. BMC Complementary Medicine and Therapies. 21(1). 285–285. 17 indexed citations
6.
Hamed, Abdelaaty, Marcel Frese, Tatiana Syrovets, et al.. (2020). Synthesis of novel feruloyl dipeptides with proapoptotic potential against different cancer cell lines. Bioorganic Chemistry. 97. 103678–103678. 8 indexed citations
7.
Trautmann, Marcel, Arne Krüger, Inga Grünewald, et al.. (2019). Phosphatidylinositol-3-kinase (PI3K)/Akt Signaling is Functionally Essential in Myxoid Liposarcoma. Molecular Cancer Therapeutics. 18(4). 834–844. 28 indexed citations
8.
Kailayangiri, Sareetha, Bianca Altvater, Claudia Rössig, et al.. (2019). SS18-SSX–Dependent YAP/TAZ Signaling in Synovial Sarcoma. Clinical Cancer Research. 25(12). 3718–3731. 38 indexed citations
9.
Khouya, Tarik, Mhamed Ramchoun, Souliman Amrani, et al.. (2019). Anti-inflammatory and anticoagulant effects of polyphenol-rich extracts from Thymus atlanticus: An in vitro and in vivo study. Journal of Ethnopharmacology. 252. 112475–112475. 28 indexed citations
10.
Trautmann, Marcel, Konrad Steinestel, Inga Grünewald, et al.. (2017). FUS–DDIT3 Fusion Protein-Driven IGF-IR Signaling is a Therapeutic Target in Myxoid Liposarcoma. Clinical Cancer Research. 23(20). 6227–6238. 38 indexed citations
11.
Westhoff, Mike‐Andrew, Shaoxia Zhou, Lisa Nonnenmacher, et al.. (2013). Inhibition of NF-κB Signaling Ablates the Invasive Phenotype of Glioblastoma. Molecular Cancer Research. 11(12). 1611–1623. 58 indexed citations
12.
Li, Xuehua, Tatiana Syrovets, Svetlana Paskaš, Yves Laumonnier, & Thomas Simmet. (2008). Mature Dendritic Cells Express Functional Thrombin Receptors Triggering Chemotaxis and CCL18/Pulmonary and Activation-Regulated Chemokine Induction. The Journal of Immunology. 181(2). 1215–1223. 26 indexed citations
13.
Seeling, W., Berthold Büchele, Juergen E. Gschwend, et al.. (2006). Keine synergistische Wirkung der Kombination von ∆9-Tetrahydrocannabinol und Piritramid bei postoperativen Schmerzen. Der Anaesthesist. 55(4). 391–400. 35 indexed citations
15.
Syrovets, Tatiana, et al.. (2005). Acetyl-Boswellic Acids Inhibit Lipopolysaccharide-Mediated TNF-α Induction in Monocytes by Direct Interaction with IκB Kinases. The Journal of Immunology. 174(1). 498–506. 149 indexed citations
18.
Büchele, Berthold, et al.. (2003). Structural analysis of pentacyclic triterpenes from the gum resin of Boswellia serrata by NMR spectroscopy. Magnetic Resonance in Chemistry. 41(2). 115–122. 41 indexed citations
19.
Ameri, Angela & Thomas Simmet. (1999). Interaction of the structurally related Aconitum alkaloids, aconitine and 6-benzyolheteratisine, in the rat hippocampus. European Journal of Pharmacology. 386(2-3). 187–194. 17 indexed citations
20.
Simmet, Thomas, et al.. (1995). Contact-mediated stimulation of the monocyte 5-lipoxygenase pathway is enhanced by the presence of platelets. Thrombosis Research. 77(2). 187–192. 4 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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