Pranas Japertas

775 total citations
18 papers, 589 citations indexed

About

Pranas Japertas is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Pranas Japertas has authored 18 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 6 papers in Spectroscopy and 5 papers in Molecular Biology. Recurrent topics in Pranas Japertas's work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Pranas Japertas is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Pranas Japertas collaborates with scholars based in Lithuania, United States and Austria. Pranas Japertas's co-authors include Remigijus Didžiapetris, Alanas Petrauskas, Alex Avdeef, Justas Dapkūnas, Derek P. Reynolds and Kęstutis Aidas and has published in prestigious journals such as Journal of Computational Chemistry, Journal of Pharmaceutical Sciences and Toxicology Letters.

In The Last Decade

Pranas Japertas

17 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranas Japertas Lithuania 12 288 218 201 128 97 18 589
Remigijus Didžiapetris Lithuania 16 317 1.1× 286 1.3× 243 1.2× 132 1.0× 96 1.0× 25 726
Alanas Petrauskas Lithuania 11 241 0.8× 211 1.0× 185 0.9× 123 1.0× 49 0.5× 13 573
Christopher Keefer United States 15 284 1.0× 224 1.0× 143 0.7× 82 0.6× 188 1.9× 31 690
Manisha Iyer United States 12 224 0.8× 215 1.0× 99 0.5× 85 0.7× 193 2.0× 14 611
Kin‐Kai Hwang United States 7 124 0.4× 168 0.8× 194 1.0× 140 1.1× 79 0.8× 16 528
Hugues Dolgos Germany 16 186 0.6× 208 1.0× 227 1.1× 80 0.6× 392 4.0× 26 792
Lovisa Afzelius Sweden 13 360 1.3× 261 1.2× 217 1.1× 173 1.4× 488 5.0× 21 763
Mark C. Wenlock United Kingdom 12 482 1.7× 410 1.9× 239 1.2× 202 1.6× 345 3.6× 21 1.1k
Gert Strandlund Sweden 5 283 1.0× 235 1.1× 149 0.7× 186 1.5× 74 0.8× 10 608
Sabrina X. Zhao United States 11 151 0.5× 229 1.1× 164 0.8× 86 0.7× 418 4.3× 12 656

Countries citing papers authored by Pranas Japertas

Since Specialization
Citations

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

Fields of papers citing papers by Pranas Japertas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranas Japertas

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

All Works

18 of 18 papers shown
1.
Aidas, Kęstutis, et al.. (2015). Aqueous acidities of primary benzenesulfonamides: Quantum chemical predictions based on density functional theory and SMD. Journal of Computational Chemistry. 36(29). 2158–2167. 10 indexed citations
2.
Japertas, Pranas, et al.. (2013). Improving the prediction of drug disposition in the brain. Expert Opinion on Drug Metabolism & Toxicology. 9(4). 473–486. 26 indexed citations
3.
Dapkūnas, Justas, et al.. (2011). QSAR Analysis of Blood–Brain Distribution: The Influence of Plasma and Brain Tissue Binding. Journal of Pharmaceutical Sciences. 100(6). 2147–2160. 45 indexed citations
4.
Didžiapetris, Remigijus, et al.. (2010). Trainable structure–activity relationship model for virtual screening of CYP3A4 inhibition. Journal of Computer-Aided Molecular Design. 24(11). 891–906. 28 indexed citations
5.
Japertas, Pranas, et al.. (2010). Estimation of reliability of predictions and model applicability domain evaluation in the analysis of acute toxicity (LD50). SAR and QSAR in environmental research. 21(1-2). 127–148. 43 indexed citations
6.
Dapkūnas, Justas, et al.. (2009). Probabilistic Prediction of the Human CYP3A4 and CYP2D6 Metabolism Sites. Chemistry & Biodiversity. 6(11). 2101–2106. 10 indexed citations
7.
Japertas, Pranas, et al.. (2009). Ionization‐Specific QSAR Models of Blood–Brain Penetration of Drugs. Chemistry & Biodiversity. 6(11). 2050–2054. 9 indexed citations
8.
Reynolds, Derek P., et al.. (2009). Ionization-specific analysis of human intestinal absorption. Journal of Pharmaceutical Sciences. 98(11). 4039–4054. 31 indexed citations
9.
Japertas, Pranas, et al.. (2008). Ionization-Specific Prediction of Blood–Brain Permeability. Journal of Pharmaceutical Sciences. 98(1). 122–134. 52 indexed citations
10.
Didžiapetris, Remigijus, et al.. (2008). Trainable QSAR model of Ames genotoxicity. Toxicology Letters. 180. S152–S153. 5 indexed citations
11.
Japertas, Pranas, et al.. (2007). Acute toxicity (LD50) prediction involving fragmental QSAR model, similarity analysis and reliability of predictions. Toxicology Letters. 172. S80–S81. 1 indexed citations
12.
Japertas, Pranas, et al.. (2007). A rule based approach for prediction of the rabbit eye and skin irritation. Toxicology Letters. 172. S80–S80. 2 indexed citations
13.
Didžiapetris, Remigijus, et al.. (2006). In Silico Technology for Identification of Potentially Toxic Compounds in Drug Discovery. Current Computer - Aided Drug Design. 2(2). 95–103. 28 indexed citations
14.
Japertas, Pranas, Remigijus Didžiapetris, & Alanas Petrauskas. (2003). Fragmental Methods in the Analysis of Biological Activities of Diverse Compound Sets. Mini-Reviews in Medicinal Chemistry. 3(8). 797–808. 21 indexed citations
15.
Didžiapetris, Remigijus, Pranas Japertas, Alex Avdeef, & Alanas Petrauskas. (2003). Classification Analysis of P-Glycoprotein Substrate Specificity. Journal of drug targeting. 11(7). 391–406. 183 indexed citations
16.
Didžiapetris, Remigijus, et al.. (2003). Classification Structure-Activity Relations (C-SAR) in Prediction of Human Intestinal Absorption. Journal of Pharmaceutical Sciences. 92(3). 621–633. 30 indexed citations
17.
Japertas, Pranas, et al.. (2003). Progress in Toxinformatics: The Challenge of Predicting Acute Toxicity. Current Topics in Medicinal Chemistry. 3(11). 1301–1014. 15 indexed citations
18.
Japertas, Pranas, Remigijus Didžiapetris, & Alanas Petrauskas. (2002). Fragmental Methods in the Design of New Compounds. Applications of The Advanced Algorithm Builder. Quantitative Structure-Activity Relationships. 21(1). 23–23. 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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