István Kövesdi

745 total citations
33 papers, 559 citations indexed

About

István Kövesdi is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, István Kövesdi has authored 33 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Organic Chemistry, 10 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in István Kövesdi's work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). István Kövesdi is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). István Kövesdi collaborates with scholars based in Hungary, France and India. István Kövesdi's co-authors include József Rábai, László E. Kiss, László Őrfi, Dániel Erös, Krisztina Takács‐Novák, Gÿorgý Kéri, Dénes Szabó, A. KUCSMAN, Csaba Szántai-Kis and Ágnes Gömöry and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Tetrahedron and Current Medicinal Chemistry.

In The Last Decade

István Kövesdi

33 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
István Kövesdi Hungary 13 318 163 105 93 83 33 559
Darren L. Reid United States 12 213 0.7× 157 1.0× 51 0.5× 52 0.6× 65 0.8× 27 514
Petro Borysko Ukraine 16 530 1.7× 204 1.3× 170 1.6× 44 0.5× 90 1.1× 49 739
Brian Samas United States 16 259 0.8× 177 1.1× 74 0.7× 70 0.8× 48 0.6× 33 608
Ivan S. Kondratov Ukraine 16 490 1.5× 208 1.3× 296 2.8× 45 0.5× 81 1.0× 54 678
C. Hänsch Germany 7 122 0.4× 143 0.9× 44 0.4× 96 1.0× 87 1.0× 16 404
Heiner Jendralla Germany 17 612 1.9× 307 1.9× 68 0.6× 48 0.5× 40 0.5× 56 845
Lawrence J. Altman United States 14 325 1.0× 214 1.3× 61 0.6× 134 1.4× 19 0.2× 30 658
A. A. Deana United States 14 500 1.6× 222 1.4× 32 0.3× 27 0.3× 38 0.5× 23 785
Guixiang Hu China 12 155 0.5× 156 1.0× 22 0.2× 137 1.5× 79 1.0× 34 597
David M. Stout United States 11 893 2.8× 286 1.8× 27 0.3× 62 0.7× 41 0.5× 19 1.1k

Countries citing papers authored by István Kövesdi

Since Specialization
Citations

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

Fields of papers citing papers by István Kövesdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Kövesdi

This figure shows the co-authorship network connecting the top 25 collaborators of István Kövesdi. A scholar is included among the top collaborators of István Kövesdi 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 István Kövesdi. István Kövesdi 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.
Erös, Dániel, et al.. (2008). Structure – Activity Relationships of PDE5 Inhibitors (Supporting Material). Current Medicinal Chemistry. 15(16). 1570–1585. 13 indexed citations
2.
Szántai-Kis, Csaba, István Kövesdi, Dániel Erös, et al.. (2006). Prediction Oriented QSAR Modelling of EGFR Inhibition. Current Medicinal Chemistry. 13(3). 277–287. 11 indexed citations
3.
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Erös, Dániel, Gÿorgý Kéri, István Kövesdi, et al.. (2004). Comparison of Predictive Ability of Water Solubility QSPR Models Generated by MLR, PLS and ANN Methods. Mini-Reviews in Medicinal Chemistry. 4(2). 167–177. 31 indexed citations
6.
Szántai-Kis, Csaba, István Kövesdi, Gÿorgý Kéri, & László Őrfi. (2003). Validation subset selections for extrapolation oriented QSPAR models. Molecular Diversity. 7(1). 37–43. 8 indexed citations
7.
Erös, Dániel, et al.. (2002). Reliability of logP Predictions Based on Calculated Molecular Descriptors: A Critical Review. Current Medicinal Chemistry. 9(20). 1819–1829. 73 indexed citations
8.
Héberger, Károly, et al.. (2002). Prediction of Tumoricidal Activity and Accumulation of Photosensitizers in Photodynamic Therapy Using Multiple Linear Regression and Artificial Neural Networks¶. Photochemistry and Photobiology. 75(5). 471–471. 11 indexed citations
9.
Kövesdi, István, et al.. (2002). On triazoles XLV [1]. synthesis of 5,7‐diamino‐1,2,4‐triazolo[1,5‐a] [1,3,5]triazines. Journal of Heterocyclic Chemistry. 39(2). 327–334. 7 indexed citations
10.
Kiss, László E., István Kövesdi, & József Rábai. (2001). An improved design of fluorophilic molecules: prediction of the ln P fluorous partition coefficient, fluorophilicity, using 3D QSAR descriptors and neural networks. Journal of Fluorine Chemistry. 108(1). 95–109. 90 indexed citations
11.
Faigl, Ferenc, Zoltán Fınta, Zoltán Hell, István Kövesdi, & Lásʐló Tőke. (2000). Unexpected substituent effect in the stereoselective synthesis of trifluoromethyl group containing cyclopropane lactones. Journal of Fluorine Chemistry. 103(2). 117–121. 3 indexed citations
12.
Páska, Csilla, László Őrfi, István Kövesdi, et al.. (1999). [Biological activity and structure of antitumor compounds from Plantago media L].. PubMed. 69(5). 232–9. 12 indexed citations
13.
Őrfi, László, József Kökösi, György Szász, et al.. (1996). Heterocondensed quinazolones: synthesis and protein-tyrosine kinase inhibitory activity of 3,4-dihydro-1H,6H-[1,4]oxazino-[3,4-b]quinazolin-6-one derivatives. Bioorganic & Medicinal Chemistry. 4(4). 547–551. 11 indexed citations
14.
Nyerges, Miklós, et al.. (1995). trans-3-Aryl-4-nitro-pyrrolidines via 1,3-dipolar cycloaddition of nonstabilized azomethine ylide to ß-nitro styrenes. Tetrahedron. 51(24). 6783–6788. 25 indexed citations
15.
Kövesdi, István, et al.. (1993). [Additional data from the NMR investigation of tofizopam].. PubMed. 63(2). 53–6. 1 indexed citations
16.
Náray‐Szabó, Gábor, János G. Ángyán, Péter R. Śurján, et al.. (1990). Computational chemistry on a PC. International Journal of Quantum Chemistry. 38(2). 163–171. 3 indexed citations
17.
Sohár, Pàl, et al.. (1989). Synthesis and conformational analysis of dibenzodithiocin derivatives. Magnetic Resonance in Chemistry. 27(8). 760–766. 5 indexed citations
18.
Jalsovszky, I., Ferenc Ruff, M. KAJTAR‐PEREDY, István Kövesdi, & A. KUCSMAN. (1986). Stereoselective synthesis of cis and trans n-tosyl sulphilimines and sulphoxides from 2-alkylthianes and 2-alkylthiolanes assignments of configurations. Tetrahedron. 42(20). 5649–5656. 19 indexed citations
19.
KUCSMAN, A., I. Kapovits, István Kövesdi, Alajos Kálmán, & L. Párkányi. (1985). Intramolecular sulphur(IV)-oxygen interaction in sulphoxides and sulphilimines with 2-methoxycarbonyl-phenyl and 2-nitrophenyl groups: an X-ray study. Journal of Molecular Structure. 127(1-2). 135–148. 20 indexed citations
20.
Ruff, Ferenc, et al.. (1984). Aminophthalazinone derivatives 9. chemical properties of imidazo and pyrimido 2 1 a phthalazinone systems 1. studies on tautomerism. 117(4). 363–370. 1 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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