Léo Ghemtio

402 total citations
23 papers, 304 citations indexed

About

Léo Ghemtio is a scholar working on Computational Theory and Mathematics, Molecular Biology and Oncology. According to data from OpenAlex, Léo Ghemtio has authored 23 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Léo Ghemtio's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Léo Ghemtio is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Léo Ghemtio collaborates with scholars based in Finland, France and United Kingdom. Léo Ghemtio's co-authors include Henri Xhaard, Päivi Tammela, Jari Yli‐Kauhaluoma, Sami Alakurtti, Heidi Kidron, Shafiul Haque, Marjo Yliperttula, Arto Urtti, Ernesto Cortés and Alistair Rice and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Léo Ghemtio

21 papers receiving 299 citations

Peers

Léo Ghemtio

CTM

ONCOL

PHARM

Yana Rose United States

Tyler Peryea United States

Xianchao Pan China

Syed Ausaf Ali India

Abdelrahman Y. Sherif Saudi Arabia

Diego Eidy Chiba Brazil

Khairul Bariyyah Abd Halim Malaysia

Xianshu Yang United States

Alhumaidi B. Alabbas Saudi Arabia

Yana Rose United States

Léo Ghemtio

241 ×1.7

73 ×1.1

CTM

36 ×0.8

ONCOL

61 ×1.4

19 ×0.7

PHARM

Citations per year, relative to Léo Ghemtio Léo Ghemtio (= 1×) peers Yana Rose

Countries citing papers authored by Léo Ghemtio

Since Specialization

Citations

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

Fields of papers citing papers by Léo Ghemtio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léo Ghemtio

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ghemtio, Léo, Jayvadan K. Patel, Jari Yli‐Kauhaluoma, et al.. (2025). Targeting bacterial and human levodopa decarboxylases for improved drug treatment of Parkinson's disease: Discovery and characterization of new inhibitors. European Journal of Pharmaceutical Sciences. 211. 107133–107133. 3 indexed citations

Monaghan, Sean J., Léo Ghemtio, Ziaurrehman Tanoli, et al.. (2025). EcoDrug PLUS: an advanced database for drug target conservation analysis and environmental risk assessment. Nucleic Acids Research. 54(D1). D1397–D1404.

Giudice, Giusy del, Michele Fratello, Léo Ghemtio, et al.. (2023). KNeMAP: a network mapping approach for knowledge-driven comparison of transcriptomic profiles. Bioinformatics. 39(6).

Böttcher, Katrin, Lisa Longato, Giusi Marrone, et al.. (2021). AICAR and compound C negatively modulate HCC-induced primary human hepatic stellate cell activation in vitro. American Journal of Physiology-Gastrointestinal and Liver Physiology. 320(4). G543–G556. 8 indexed citations

Deng, Feng, et al.. (2020). Binding Site Interactions of Modulators of Breast Cancer Resistance Protein, Multidrug Resistance-Associated Protein 2, and P-Glycoprotein Activity. Molecular Pharmaceutics. 17(7). 2398–2410. 14 indexed citations

Cruz, Cristina D., Pauli Wrigstedt, Karina Moslova, et al.. (2020). Installation of an aryl boronic acid function into the external section of -aryl-oxazolidinones: Synthesis and antimicrobial evaluation. European Journal of Medicinal Chemistry. 211. 113002–113002. 14 indexed citations

Zhang, Yuezhou, Mirko M. Maksimainen, Léo Ghemtio, et al.. (2018). Adenosine analogs bearing phosphate isosteres as human MDO1 ligands. Bioorganic & Medicinal Chemistry. 26(8). 1588–1597. 8 indexed citations

Cortés, Ernesto, Dariusz Lachowski, Alistair Rice, et al.. (2018). Tamoxifen mechanically deactivates hepatic stellate cells via the G protein-coupled estrogen receptor. Oncogene. 38(16). 2910–2922. 47 indexed citations

Zhang, Yuezhou, Henri Xhaard, & Léo Ghemtio. (2018). Predictive classification models and targets identification for betulin derivatives as Leishmania donovani inhibitors. Journal of Cheminformatics. 10(1). 40–40. 2 indexed citations

10.

Deng, Feng, et al.. (2017). A structure-activity relationship study of ABCC2 inhibitors. European Journal of Pharmaceutical Sciences. 103. 60–69. 8 indexed citations

11.

Ghemtio, Léo, Henri Xhaard, Arto Urtti, & Heidi Kidron. (2016). Predictive Modeling of Ocular Pharmacokinetics and Adverse Effects. Current Pharmaceutical Design. 22(46). 6928–6934. 5 indexed citations

12.

Xhaard, Henri, et al.. (2016). IDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug data. Journal of Cheminformatics. 8(1). 33–33. 16 indexed citations

13.

Ghemtio, Léo, et al.. (2015). Integrated In Vitro – In Silico Screening Strategy for the Discovery of Antibacterial Compounds. Assay and Drug Development Technologies. 13(1). 25–33. 3 indexed citations

14.

Ghemtio, Léo, Päivi Tammela, Peter Wipf, et al.. (2015). Exploring the structure–activity relationships of ABCC2 modulators using a screening approach. Bioorganic & Medicinal Chemistry. 23(13). 3513–3525. 15 indexed citations

15.

Haque, Shafiul, et al.. (2014). Screening and Characterisation of Antimicrobial Properties of Semisynthetic Betulin Derivatives. PLoS ONE. 9(7). e102696–e102696. 61 indexed citations

16.

Ghemtio, Léo & N. Muzet. (2013). Retrospective molecular docking study of WY-25105 ligand to β-secretase and bias of the three-dimensional structure flexibility. Journal of Molecular Modeling. 19(8). 2971–2979. 4 indexed citations

17.

Amo, Eva M. del, Léo Ghemtio, Henri Xhaard, et al.. (2013). Applying Linear and Non-Linear Methods for Parallel Prediction of Volume of Distribution and Fraction of Unbound Drug. PLoS ONE. 8(10). e74758–e74758. 22 indexed citations

18.

Ghemtio, Léo, Violeta I. Pérez‐Nueno, Vincent Leroux, et al.. (2012). Recent Trends and Applications in 3D Virtual Screening. Combinatorial Chemistry & High Throughput Screening. 15(9). 749–769. 11 indexed citations

19.

Ghemtio, Léo, Marie‐Dominique Devignes, Malika Smaïl‐Tabbone, et al.. (2010). Comparison of Three Preprocessing Filters Efficiency in Virtual Screening: Identification of New Putative LXRβ Regulators As a Test Case. Journal of Chemical Information and Modeling. 50(5). 701–715. 8 indexed citations

20.

Beautrait, Alexandre, Vincent Leroux, Matthieu Chavent, et al.. (2008). Multiple-step virtual screening using VSM-G: overview and validation of fast geometrical matching enrichment. Journal of Molecular Modeling. 14(2). 135–148. 18 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.

Explore authors with similar magnitude of impact