Jiří Plesnik

562 total citations
9 papers, 453 citations indexed

About

Jiří Plesnik is a scholar working on Nutrition and Dietetics, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Jiří Plesnik has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Jiří Plesnik's work include Biochemical Analysis and Sensing Techniques (6 papers), Advanced Chemical Sensor Technologies (2 papers) and Regulation of Appetite and Obesity (2 papers). Jiří Plesnik is often cited by papers focused on Biochemical Analysis and Sensing Techniques (6 papers), Advanced Chemical Sensor Technologies (2 papers) and Regulation of Appetite and Obesity (2 papers). Jiří Plesnik collaborates with scholars based in Czechia, France and Algeria. Jiří Plesnik's co-authors include Omar Šerý, Naim Akhtar Khan, Amira Sayed Khan, Jean-Paul Paı̈s de Barros, Matthijs Kox, Valérie Deckert, Kaatje Lenaerts, Daniel J. Drucker, Cornelis H.C. Dejong and Jacques Grober and has published in prestigious journals such as International Journal of Obesity, Nutrients and Cell Reports.

In The Last Decade

Jiří Plesnik

9 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiří Plesnik Czechia 9 206 128 111 108 89 9 453
Masaki TERASAKI Japan 6 158 0.8× 171 1.3× 119 1.1× 88 0.8× 46 0.5× 27 469
Maartje C. P. Geraedts Netherlands 12 164 0.8× 100 0.8× 128 1.2× 51 0.5× 47 0.5× 16 380
Arnaud Bernard France 12 235 1.1× 102 0.8× 112 1.0× 132 1.2× 17 0.2× 26 383
Vida Bitarafan Australia 11 100 0.5× 93 0.7× 116 1.0× 43 0.4× 32 0.4× 23 337
Griselda X. Brito-Córdova Mexico 8 155 0.8× 102 0.8× 129 1.2× 30 0.3× 97 1.1× 11 396
Dina Ripken Netherlands 9 112 0.5× 34 0.3× 98 0.9× 39 0.4× 43 0.5× 15 360
Eri Kawabata-Shoda Japan 7 156 0.8× 93 0.7× 108 1.0× 283 2.6× 21 0.2× 7 542
Bridgette Chia Australia 5 176 0.9× 75 0.6× 174 1.6× 49 0.5× 146 1.6× 5 392
Teja Klančič Canada 9 140 0.7× 185 1.4× 126 1.1× 14 0.1× 56 0.6× 16 401
Hideaki Tazoe Japan 7 249 1.2× 529 4.1× 351 3.2× 39 0.4× 149 1.7× 8 888

Countries citing papers authored by Jiří Plesnik

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Plesnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Plesnik

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

All Works

9 of 9 papers shown
1.
Hichami, Aziz, Amira Sayed Khan, Jiří Plesnik, et al.. (2020). Implication of TRPC3 channel in gustatory perception of dietary lipids. Acta Physiologica. 231(2). e13554–e13554. 8 indexed citations
2.
Plesnik, Jiří, Omar Šerý, Amira Sayed Khan, Peter Bielik, & Naim Akhtar Khan. (2018). The rs1527483, but not rs3212018, CD36 polymorphism associates with linoleic acid detection and obesity in Czech young adults. British Journal Of Nutrition. 119(4). 472–478. 25 indexed citations
3.
Plesnik, Jiří, Amira Sayed Khan, Omar Šerý, et al.. (2017). Orosensory detection of bitter in fat-taster healthy and obese participants: Genetic polymorphism of CD36 and TAS2R38. Clinical Nutrition. 37(1). 313–320. 41 indexed citations
4.
Lebrun, L, Kaatje Lenaerts, Dorien Kiers, et al.. (2017). Enteroendocrine L Cells Sense LPS after Gut Barrier Injury to Enhance GLP-1 Secretion. Cell Reports. 21(5). 1160–1168. 174 indexed citations
5.
Šerý, Omar, et al.. (2015). CD36 AA genotype is associated with decreased lipid taste perception in young obese, but not lean, children. International Journal of Obesity. 39(6). 920–924. 73 indexed citations
6.
Šerý, Omar, et al.. (2015). The A allele of cluster of differentiation 36 (CD36) SNP 1761667 associates with decreased lipid taste perception in obese Tunisian women. British Journal Of Nutrition. 113(8). 1330–1337. 61 indexed citations
7.
Šerý, Omar, Jan Lochman, Jana Povová, et al.. (2015). Association between 5q23.2-located polymorphism of CTXN3 gene (Cortexin 3) and schizophrenia in European-Caucasian males; implications for the aetiology of schizophrenia. Behavioral and Brain Functions. 11(1). 10–10. 10 indexed citations
8.
Plesnik, Jiří, et al.. (2015). Oral Fat Sensing and CD36 Gene Polymorphism in Algerian Lean and Obese Teenagers. Nutrients. 7(11). 9096–9104. 51 indexed citations
9.
Lochman, Jan, Jiří Plesnik, Vladimí­r Janout, et al.. (2013). Interactive effect of MTHFR and ADRA2A gene polymorphisms on pathogenesis of schizophrenia.. PubMed. 34(8). 792–7. 10 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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