Jan Konvalinka

7.2k total citations
171 papers, 5.7k citations indexed

About

Jan Konvalinka is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Jan Konvalinka has authored 171 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 65 papers in Infectious Diseases and 57 papers in Virology. Recurrent topics in Jan Konvalinka's work include HIV/AIDS drug development and treatment (61 papers), HIV Research and Treatment (57 papers) and Peptidase Inhibition and Analysis (28 papers). Jan Konvalinka is often cited by papers focused on HIV/AIDS drug development and treatment (61 papers), HIV Research and Treatment (57 papers) and Peptidase Inhibition and Analysis (28 papers). Jan Konvalinka collaborates with scholars based in Czechia, United States and Germany. Jan Konvalinka's co-authors include Hans‐Georg Kräusslich, Cyril Bařinka, J.J.F. Schölten, Pavel Šácha, Pavel Majer, Pavlína Řezáčová, Milan Kožíšek, J. Brynda, Barbara S. Slusher and Jana Pokorná and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jan Konvalinka

164 papers receiving 5.6k citations

Peers

Jan Konvalinka
Irwin Chaiken United States
F.F. Vajdos United States
Robin E. Offord Switzerland
Anthony P. West United States
E.A. Stura France
Maria Miller United States
Karl Harlos United Kingdom
Irwin Chaiken United States
Jan Konvalinka
Citations per year, relative to Jan Konvalinka Jan Konvalinka (= 1×) peers Irwin Chaiken

Countries citing papers authored by Jan Konvalinka

Since Specialization
Citations

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

Fields of papers citing papers by Jan Konvalinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Konvalinka

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Konvalinka. A scholar is included among the top collaborators of Jan Konvalinka 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 Jan Konvalinka. Jan Konvalinka 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.
Slavětínská, Lenka Poštová, Martin Lepšı́k, Jan Řezáč, et al.. (2025). Potent Competitive Inhibitors of Ecto-5′-nucleotidase (CD73) based on 6-(Het)aryl-7-deazapurine Ribonucleoside 5′- O -Bisphosphonates. ACS Pharmacology & Translational Science. 9(1). 191–213.
2.
Dračínský, Martin, J. Brynda, Pavel Majer, et al.. (2025). Beyond natural flavonoids: exploring bioisosterism in design and synthesis of influenza endonuclease inhibitors. RSC Medicinal Chemistry. 16(7). 3030–3048.
3.
Sedlák, František, et al.. (2024). Parallel Metabolomics and Lipidomics of a PSMA/GCPII Deficient Mouse Model Reveal Alteration of NAAG Levels and Brain Lipid Composition. ACS Chemical Neuroscience. 15(7). 1342–1355. 5 indexed citations
4.
Novotný, Pavel, Jana Humpolíčková, Stancho Stanchev, et al.. (2024). The zymogenic form of SARS-CoV-2 main protease: A discrete target for drug discovery. Journal of Biological Chemistry. 301(1). 108079–108079.
5.
Zamani, Mohammad, et al.. (2024). Polymer-based antibody mimetics (iBodies) target human PD-L1 and function as a potent immune checkpoint blocker. Journal of Biological Chemistry. 300(6). 107325–107325. 2 indexed citations
6.
Bím, Daniel, Ondrej Gutten, Jan Konvalinka, et al.. (2022). Predicting Effects of Site-Directed Mutagenesis on Enzyme Kinetics by QM/MM and QM Calculations: A Case of Glutamate Carboxypeptidase II. The Journal of Physical Chemistry B. 126(1). 132–143. 11 indexed citations
7.
Konvalinka, Jan, et al.. (2022). Viral proteases as therapeutic targets. Molecular Aspects of Medicine. 88. 101159–101159. 33 indexed citations
8.
Beranová, Jana, Libor Kostka, Vladimír Šubr, et al.. (2021). The development of a high-affinity conformation-sensitive antibody mimetic using a biocompatible copolymer carrier (iBody). Journal of Biological Chemistry. 297(5). 101342–101342. 4 indexed citations
9.
Pachl, Petr, Jan Hodek, Aleš Machara, et al.. (2020). structural characterization of the interaction between the C-terminal domain of the influenza polymerase PA subunit and an optimized small peptide inhibitor. Antiviral Research. 185. 104971–104971. 5 indexed citations
10.
Šácha, Pavel, Libor Kostka, Jiří Schimer, et al.. (2019). Inhibitor–Polymer Conjugates as a Versatile Tool for Detection and Visualization of Cancer-Associated Carbonic Anhydrase Isoforms. ACS Omega. 4(4). 6746–6756. 13 indexed citations
11.
Pokorná, Jana, Petr Pachl, Pavlína Řezáčová, et al.. (2018). Kinetic, Thermodynamic, and Structural Analysis of Drug Resistance Mutations in Neuraminidase from the 2009 Pandemic Influenza Virus. Viruses. 10(7). 339–339. 23 indexed citations
12.
Neburková, Jitka, František Sedlák, Libor Kostka, et al.. (2018). Inhibitor–GCPII Interaction: Selective and Robust System for Targeting Cancer Cells with Structurally Diverse Nanoparticles. Molecular Pharmaceutics. 15(8). 2932–2945. 22 indexed citations
13.
Tykvart, Jan, Jiří Schimer, Petr Pachl, et al.. (2016). Comparison of human glutamate carboxypeptidases II and III reveals their divergent substrate specificities. FEBS Journal. 283(13). 2528–2545. 20 indexed citations
14.
Navrátil, Václav, Jiří Schimer, Jan Tykvart, et al.. (2016). DNA-linked Inhibitor Antibody Assay (DIANA) for sensitive and selective enzyme detection and inhibitor screening. Nucleic Acids Research. 45(2). e10–e10. 13 indexed citations
15.
Bařinka, Cyril, Klára Hlouchová, Pavel Majer, et al.. (2008). Structural Basis of Interactions between Human Glutamate Carboxypeptidase II and Its Substrate Analogs. Journal of Molecular Biology. 376(5). 1438–1450. 72 indexed citations
16.
Mlčochová, Petra, Cyril Bařinka, Jan Tykvart, Pavel Šácha, & Jan Konvalinka. (2008). Prostate‐specific membrane antigen and its truncated form PSM′. The Prostate. 69(5). 471–479. 17 indexed citations
17.
Šácha, Pavel, et al.. (2007). Co nového víme o PSMA (prostatický specifický membránový antigen): z pohledu urologa. 1 indexed citations
18.
Cígler, Petr, Milan Kožíšek, Pavlína Řezáčová, et al.. (2005). From nonpeptide toward noncarbon protease inhibitors: Metallacarboranes as specific and potent inhibitors of HIV protease. Proceedings of the National Academy of Sciences. 102(43). 15394–15399. 269 indexed citations
19.
Konvalinka, Jan, Jan Weber, Jiřı́ Vondrášek, et al.. (1997). Configurations of Diastereomeric Hydroxyethylene Isosteres Strongly Affect Biological Activities of a Series of Specific Inhibitors of Human‐Immunodeficiency‐Virus Proteinase. European Journal of Biochemistry. 250(2). 559–566. 24 indexed citations
20.
Konvalinka, Jan, Olga Hrušková‐Heidingsfeldová, Volker M. Vogt, et al.. (1995). Proteolytic Processing of Particle-Associated Retroviral Polyproteins by Homologous and Heterologous Viral Proteinases. European Journal of Biochemistry. 228(1). 191–198. 36 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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