Tuomo Laitinen

2.4k total citations
90 papers, 1.8k citations indexed

About

Tuomo Laitinen is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Tuomo Laitinen has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 22 papers in Organic Chemistry and 14 papers in Pharmacology. Recurrent topics in Tuomo Laitinen's work include Cannabis and Cannabinoid Research (11 papers), HIV Research and Treatment (7 papers) and Receptor Mechanisms and Signaling (7 papers). Tuomo Laitinen is often cited by papers focused on Cannabis and Cannabinoid Research (11 papers), HIV Research and Treatment (7 papers) and Receptor Mechanisms and Signaling (7 papers). Tuomo Laitinen collaborates with scholars based in Finland, United States and Germany. Tuomo Laitinen's co-authors include Antti Poso, Christopher R. M. Asquith, Juha Rouvinen, Tapio Nevalainen, Juha R. Savinainen, Jarmo T. Laitinen, Dina Navia‐Paldanius, Mikael Peräkylä, Michael P. East and Teija Parkkari and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Chemistry.

In The Last Decade

Tuomo Laitinen

86 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuomo Laitinen Finland 26 970 354 278 193 150 90 1.8k
Ivanov As Russia 22 944 1.0× 172 0.5× 168 0.6× 259 1.3× 129 0.9× 183 1.8k
Xu Shen China 31 1.6k 1.6× 392 1.1× 214 0.8× 207 1.1× 142 0.9× 66 2.3k
Mario E. Valdés‐Tresanco Cuba 11 1.1k 1.1× 364 1.0× 167 0.6× 467 2.4× 241 1.6× 24 2.1k
José Antonio Encinar Spain 28 1.3k 1.4× 140 0.4× 147 0.5× 109 0.6× 178 1.2× 85 2.3k
Jaspreet Kaur Dhanjal India 21 870 0.9× 311 0.9× 179 0.6× 318 1.6× 325 2.2× 57 2.1k
Zunnan Huang China 26 1.6k 1.6× 264 0.7× 231 0.8× 333 1.7× 320 2.1× 116 2.6k
Florian Kaiser Germany 12 788 0.8× 323 0.9× 154 0.6× 251 1.3× 123 0.8× 24 1.5k
Mario S. Valdés‐Tresanco Colombia 8 1.1k 1.1× 338 1.0× 156 0.6× 464 2.4× 201 1.3× 11 2.0k
Xu Shen China 29 1.2k 1.3× 516 1.5× 163 0.6× 168 0.9× 172 1.1× 57 2.0k

Countries citing papers authored by Tuomo Laitinen

Since Specialization
Citations

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

Fields of papers citing papers by Tuomo Laitinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuomo Laitinen

This figure shows the co-authorship network connecting the top 25 collaborators of Tuomo Laitinen. A scholar is included among the top collaborators of Tuomo Laitinen 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 Tuomo Laitinen. Tuomo Laitinen 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.
Rissanen, Tiina, et al.. (2025). Screening of phenolic antibacterial compounds for the prevention of biofouling. Journal of Molecular Structure. 1334. 141774–141774. 2 indexed citations
2.
Kędzierska, Ewa, Tadeusz Karcz, Agnieszka Olejarz‐Maciej, et al.. (2025). Synthesis, Experimental and Computational Evaluation of SERAAK1 as a 5-HT2A Receptor Ligand. Molecules. 30(10). 2165–2165.
3.
Stępnicki, Piotr, Dariusz Matosiuk, Tomasz M. Wróbel, et al.. (2024). Discovery and in vitro Evaluation of Novel Serotonin 5‐HT2A Receptor Ligands Identified Through Virtual Screening. ChemMedChem. 19(14). e202400080–e202400080. 2 indexed citations
4.
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6.
Laitinen, Tuomo, Magdalena Markowicz-Piasecka, Marko Lehtonen, et al.. (2021). Molecular characteristics supporting l-Type amino acid transporter 1 (LAT1)-mediated translocation. Bioorganic Chemistry. 112. 104921–104921. 9 indexed citations
7.
Singha, Prosanta, Tuomo Laitinen, Tapio Nevalainen, et al.. (2020). Evaluation of FASN inhibitors by a versatile toolkit reveals differences in pharmacology between human and rodent FASN preparations and in antiproliferative efficacy in vitro vs. in situ in human cancer cells. European Journal of Pharmaceutical Sciences. 149. 105321–105321. 9 indexed citations
8.
Asquith, Christopher R. M., Tuomo Laitinen, & Michael P. East. (2019). PKMYT1: a forgotten member of the WEE1 family. Nature Reviews Drug Discovery. 19(3). 157–157. 25 indexed citations
9.
Kajander, Tommi, et al.. (2018). Structure‐Based Virtual Screening of LsrK Kinase Inhibitors to Target Quorum Sensing. ChemMedChem. 13(22). 2400–2407. 15 indexed citations
10.
Kajander, Tommi, et al.. (2018). Cover Feature: Structure‐Based Virtual Screening of LsrK Kinase Inhibitors to Target Quorum Sensing (ChemMedChem 22/2018). ChemMedChem. 13(22). 2350–2350. 1 indexed citations
11.
Kärkkäinen, Olli, Tomi Tuomainen, Ville Koistinen, et al.. (2018). Whole grain intake associated molecule 5-aminovaleric acid betaine decreases β-oxidation of fatty acids in mouse cardiomyocytes. Scientific Reports. 8(1). 13036–13036. 28 indexed citations
12.
Haidar, Samer, Zouhair Bouaziz, Christelle Marminon, et al.. (2017). Development of Pharmacophore Model for Indeno[1,2-b]indoles as Human Protein Kinase CK2 Inhibitors and Database Mining. Pharmaceuticals. 10(1). 8–8. 29 indexed citations
13.
Navia‐Paldanius, Dina, Jayendra Z. Patel, Hermina Jakupović, et al.. (2016). Chemoproteomic, biochemical and pharmacological approaches in the discovery of inhibitors targeting human α/β-hydrolase domain containing 11 (ABHD11). European Journal of Pharmaceutical Sciences. 93. 253–263. 11 indexed citations
14.
Patel, Jayendra Z., Tuomo Laitinen, Dina Navia‐Paldanius, et al.. (2015). Loratadine analogues as MAGL inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(7). 1436–1442. 23 indexed citations
15.
Patel, Jayendra Z., Tapio Nevalainen, Juha R. Savinainen, et al.. (2014). Optimization of 1,2,5‐Thiadiazole Carbamates as Potent and Selective ABHD6 Inhibitors. ChemMedChem. 10(2). 253–265. 28 indexed citations
16.
Asquith, Christopher R. M., Marina L. Meli, Lidia S. Konstantinova, et al.. (2014). Evaluation of the antiviral efficacy of bis[1,2]dithiolo[1,4]thiazines and bis[1,2]dithiolopyrrole derivatives against the nucelocapsid protein of the Feline Immunodeficiency Virus (FIV) as a model for HIV infection. Bioorganic & Medicinal Chemistry Letters. 24(12). 2640–2644. 18 indexed citations
17.
Laitinen, Tuomo, et al.. (2013). Identification of novel SIRT3 inhibitor scaffolds by virtual screening. Bioorganic & Medicinal Chemistry Letters. 23(10). 2990–2995. 32 indexed citations
18.
Küblbeck, Jenni, Tuomo Laitinen, Johanna Jyrkkärinne, et al.. (2011). Use of comprehensive screening methods to detect selective human CAR activators. Biochemical Pharmacology. 82(12). 1994–2007. 37 indexed citations
19.
Laitinen, Tuomo, Juha Rouvinen, & Mikael Peräkylä. (2003). MM-PBSA free energy analysis of endo-1,4-xylanase II (XynII)–substrate complexes: binding of the reactive sugar in a skew boat and chair conformation. Organic & Biomolecular Chemistry. 1(20). 3535–3540. 7 indexed citations
20.
Kuikka, Jyrki T., Jingsong Yang, Jari Karhu, et al.. (1998). Imaging the structure of the striatum: a fractal approach to SPECT image interpretation. Physiological Measurement. 19(3). 367–374. 13 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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