Péter Pogány

987 total citations
27 papers, 601 citations indexed

About

Péter Pogány is a scholar working on Materials Chemistry, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Péter Pogány has authored 27 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 9 papers in Molecular Biology and 8 papers in Organic Chemistry. Recurrent topics in Péter Pogány's work include Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (6 papers) and Advanced Chemical Physics Studies (6 papers). Péter Pogány is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Chemical Synthesis and Analysis (6 papers) and Advanced Chemical Physics Studies (6 papers). Péter Pogány collaborates with scholars based in Hungary, United Kingdom and Germany. Péter Pogány's co-authors include Attila Kovács, György Székely, R.J.M. Konings, Young Moo Lee, Stephen D. Pickett, Gergő Ignácz, Jeong F. Kim, Dan Zhao, Sam Genway and Darren V. S. Green and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and Journal of Materials Chemistry A.

In The Last Decade

Péter Pogány

27 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Pogány Hungary 12 209 158 143 130 118 27 601
Qianyi Cheng United States 17 493 2.4× 263 1.7× 33 0.2× 106 0.8× 181 1.5× 56 1.0k
Filipe Teixeira Portugal 12 187 0.9× 69 0.4× 20 0.1× 53 0.4× 110 0.9× 34 508
Anupam Anand Ojha United States 10 127 0.6× 112 0.7× 56 0.4× 126 1.0× 24 0.2× 17 362
Maura Malińska Poland 18 492 2.4× 307 1.9× 35 0.2× 134 1.0× 105 0.9× 72 1.2k
Symon Gathiaka United States 11 251 1.2× 368 2.3× 251 1.8× 25 0.2× 119 1.0× 20 997
A. Suvitha India 14 207 1.0× 46 0.3× 37 0.3× 92 0.7× 97 0.8× 59 732
Dong Hyun Jung South Korea 17 703 3.4× 84 0.5× 30 0.2× 549 4.2× 89 0.8× 42 1.1k
Daniel W. Trahan United States 10 198 0.9× 62 0.4× 110 0.8× 91 0.7× 191 1.6× 17 573
Gérard Pèpe France 16 311 1.5× 246 1.6× 29 0.2× 104 0.8× 24 0.2× 47 929
Ivan Yu. Chernyshov Russia 17 265 1.3× 66 0.4× 25 0.2× 299 2.3× 141 1.2× 36 863

Countries citing papers authored by Péter Pogány

Since Specialization
Citations

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

Fields of papers citing papers by Péter Pogány

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Pogány

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Pogány. A scholar is included among the top collaborators of Péter Pogány 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 Péter Pogány. Péter Pogány 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.
Pogány, Péter, et al.. (2025). Benchmarking 3D Structure-Based Molecule Generators. Journal of Chemical Information and Modeling. 65(15). 8006–8021. 1 indexed citations
2.
Pogány, Péter, Jonathan Pettinger, Emma K. Grant, et al.. (2023). Profiling Sulfur(VI) Fluorides as Reactive Functionalities for Chemical Biology Tools and Expansion of the Ligandable Proteome. ACS Chemical Biology. 18(2). 285–295. 47 indexed citations
3.
Sneddon, Helen F., et al.. (2023). Experimental and computational insights into the mechanism of the copper(i)-catalysed sulfonylative Suzuki–Miyaura reaction. Chemical Science. 14(24). 6738–6755. 3 indexed citations
4.
Pogány, Péter, et al.. (2022). Application of deep metric learning to molecular graph similarity. Journal of Cheminformatics. 14(1). 11–11. 11 indexed citations
5.
Pal, Sandeep, et al.. (2021). Molecule Ideation Using Matched Molecular Pairs. Methods in molecular biology. 2390. 503–521. 4 indexed citations
6.
Pogány, Péter, et al.. (2020). Guidelines for Recurrent Neural Network Transfer Learning-Based Molecular Generation of Focused Libraries. Journal of Chemical Information and Modeling. 60(12). 5699–5713. 51 indexed citations
7.
8.
Hatley, Richard J. D., Robert J. Slack, Anna Gruszka, et al.. (2019). The Design of Potent, Selective and Drug‐Like RGD αvβ1 Small‐Molecule Inhibitors Derived from non‐RGD α4β1 Antagonists. ChemMedChem. 14(14). 1315–1320. 6 indexed citations
9.
Pogány, Péter, et al.. (2018). De Novo Molecule Design by Translating from Reduced Graphs to SMILES. Journal of Chemical Information and Modeling. 59(3). 1136–1146. 61 indexed citations
10.
Pogány, Péter, Mayamin Razali, & György Székely. (2016). Experimental and theoretical investigation of the complexation of methacrylic acid and diisopropyl urea. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 170. 69–76. 11 indexed citations
11.
Pogány, Péter, Attila Kovács, Lucas Visscher, & R.J.M. Konings. (2016). Theoretical study of actinide monocarbides (ThC, UC, PuC, and AmC). The Journal of Chemical Physics. 145(24). 244310–244310. 16 indexed citations
12.
Pogány, Péter & Attila Kovács. (2015). Theoretical investigation of NpC, NpC2 and NpC4 molecules. Structural Chemistry. 26(5-6). 1309–1322. 7 indexed citations
13.
Pogány, Péter, Attila Kovács, & R.J.M. Konings. (2014). Theoretical study of Pu and Am tetracarbide molecules. International Journal of Quantum Chemistry. 114(9). 587–597. 9 indexed citations
14.
Székely, György, Viktor Farkas, József Kupai, et al.. (2012). Synthesis and Preliminary Structural and Binding Characterization of New Enantiopure Crown Ethers Containing an Alkyl Diarylphosphinate or a Proton‐Ionizable Diarylphosphinic Acid Unit. European Journal of Organic Chemistry. 2012(18). 3396–3407. 11 indexed citations
15.
Pogány, Péter, Attila Kovács, Dénes Szieberth, & R.J.M. Konings. (2012). Theoretical study of the Pu and Am dicarbide molecules. Structural Chemistry. 23(4). 1281–1289. 11 indexed citations
16.
Pogány, Péter, Attila Kovács, Zoltán Varga, F. Matthias Bickelhaupt, & R.J.M. Konings. (2011). Theoretical Study of the Structure and Bonding in ThC2 and UC2. The Journal of Physical Chemistry A. 116(1). 747–755. 26 indexed citations
17.
Pogány, Péter & Attila Kovács. (2010). Theoretical study of hyaluronan oligosaccharides. Structural Chemistry. 21(6). 1185–1194. 5 indexed citations
18.
Pogány, Péter & Attila Kovács. (2009). Conformational properties of the disaccharide building units of hyaluronan. Carbohydrate Research. 344(13). 1745–1752. 11 indexed citations
19.
20.
Pogány, Péter, Attila Kovács, Katalin Mészáros Szécsényi, & Vukadin M. Leovac. (2008). FT-IR and theoretical study of 3,5-dimethyl-1H-pyrazole-1-carboxamidine (L) and the complexes CoL2(H2O)2(NO3)2, NiL2(H2O)2(NO3)2. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 71(4). 1466–1473. 5 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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