Ivan Rychlík

9.6k total citations · 1 hit paper
190 papers, 3.7k citations indexed

About

Ivan Rychlík is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ivan Rychlík has authored 190 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 51 papers in Nephrology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ivan Rychlík's work include RNA and protein synthesis mechanisms (35 papers), Chronic Kidney Disease and Diabetes (22 papers) and Renal Diseases and Glomerulopathies (21 papers). Ivan Rychlík is often cited by papers focused on RNA and protein synthesis mechanisms (35 papers), Chronic Kidney Disease and Diabetes (22 papers) and Renal Diseases and Glomerulopathies (21 papers). Ivan Rychlík collaborates with scholars based in Czechia, Germany and Netherlands. Ivan Rychlík's co-authors include Eberhard Ritz, Serge Halimi, Francesco Locatelli, Jiřı́ Jonák, J. Černá, Eberhard Ritz, Jiří Žemlička, Stanislav Chládek, Vladimı́r Tesař and F. Šorm and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ivan Rychlík

183 papers receiving 3.4k citations

Hit Papers

End-stage renal failure in type 2 diabetes: A medical cat... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Rychlík Czechia 27 1.5k 1.3k 632 389 349 190 3.7k
Anne Dawnay United Kingdom 27 838 0.6× 941 0.7× 559 0.9× 292 0.8× 342 1.0× 91 3.4k
Mark E. Cooper Australia 34 1.4k 0.9× 1.2k 1.0× 1.0k 1.6× 861 2.2× 265 0.8× 67 4.6k
Petra Zürbig Germany 36 1.4k 1.0× 1.1k 0.9× 287 0.5× 229 0.6× 316 0.9× 83 3.8k
Maryam Afkarian United States 24 1.2k 0.8× 1.1k 0.9× 1.1k 1.8× 480 1.2× 223 0.6× 38 4.5k
W Guder Germany 31 1.2k 0.9× 610 0.5× 289 0.5× 120 0.3× 295 0.8× 128 3.6k
William J. Johnson United States 36 2.1k 1.4× 877 0.7× 816 1.3× 355 0.9× 340 1.0× 86 5.3k
Anthony G.W. Norden United Kingdom 31 1.2k 0.8× 663 0.5× 246 0.4× 185 0.5× 326 0.9× 66 3.0k
James Pullman United States 30 1.8k 1.3× 1.4k 1.1× 255 0.4× 141 0.4× 490 1.4× 65 4.0k
Gloria Gallo United States 32 1.9k 1.3× 922 0.7× 110 0.2× 174 0.4× 345 1.0× 85 3.6k
Tomoko Takano Canada 42 2.4k 1.7× 2.2k 1.7× 176 0.3× 248 0.6× 333 1.0× 145 6.0k

Countries citing papers authored by Ivan Rychlík

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rychlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Rychlík

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Rychlík. A scholar is included among the top collaborators of Ivan Rychlík 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 Ivan Rychlík. Ivan Rychlík 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.
Krátká, Karolína, et al.. (2022). Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients?. Kidney & Blood Pressure Research. 47(5). 309–319. 5 indexed citations
2.
Vecka, Marek, et al.. (2020). Dyslipidemia in patients with chronic kidney disease: etiology and management. Vnitřní lékařství. 66(5). 275–281. 8 indexed citations
3.
Krátká, Karolína, et al.. (2020). Importance of breath tests for the evaluation liver function in patients with chronic kidney disease. Vnitřní lékařství. 66(3). e38–e40.
4.
Fraňková, Soňa, et al.. (2018). Transient elastography - role in the assessment of the liver disease development. Vnitřní lékařství. 64(10). 916–922. 1 indexed citations
5.
Voelker, James R., Paul H. Berg, Matthew J. Sheetz, et al.. (2016). Anti–TGF-β1 Antibody Therapy in Patients with Diabetic Nephropathy. Journal of the American Society of Nephrology. 28(3). 953–962. 213 indexed citations
7.
Procházka, Bohumír, et al.. (2012). Gene polymorphisms in patients with type 2 diabetes and diabetic nephropathy. Open Life Sciences. 7(2). 210–218. 5 indexed citations
8.
Ritz, Eberhard, Xiaoxi Zeng, & Ivan Rychlík. (2011). Clinical Manifestation and Natural History of Diabetic Nephropathy. Contributions to nephrology. 170. 19–27. 86 indexed citations
9.
Jančová, Eva, Eva Honsová, Věra Lánská, et al.. (2008). Prevalence and Risk of Hypertension in Renal Disease – Data from the Czech Registry of Renal Biopsies. Kidney & Blood Pressure Research. 31(2). 135–142. 5 indexed citations
10.
Vernerová, Zdeňka, et al.. (2006). An Unusual Cause of Renal Amyloidosis Secondary to Gout—the First Description of Familial Occurrence. Nucleosides Nucleotides & Nucleic Acids. 25(9-11). 1305–1308. 8 indexed citations
11.
Rychlík, Ivan, J Petrtýl, Vladimı́r Tesař, et al.. (2001). Transjugular Renal Biopsy. Kidney & Blood Pressure Research. 24(3). 207–212. 20 indexed citations
12.
Amann, Kerstin, et al.. (1998). Left ventricular hypertrophy in renal failure. Kidney International. 54. S78–S85. 97 indexed citations
13.
Ritz, Eberhard, Gábriel Miltenberger-Miltényi, J. Wagner, & Ivan Rychlík. (1998). Diabetes - renal function - what are the special problems?. Basic Research in Cardiology. 93(8). s125–s130. 4 indexed citations
14.
Rychlík, Ivan, M Merta, Jiřina Bartůňková, et al.. (1997). [Cytokines and adhesion molecules in renal vasculitis and lupus nephritis].. PubMed. 136(16). 501–6. 1 indexed citations
15.
Dubovický, Michal, Eduard Ujházy, Ivan Rychlík, et al.. (1997). Effect of Long-term Administration of Stobadine on Exploratory Behaviour and on Striatal Levels of Dopamine and Serotonin in Rats and their Offspring. Journal of Applied Toxicology. 17(1). 63–70. 8 indexed citations
16.
Zima, Tomáš, Vladimı́r Tesař, Ivan Rychlík, et al.. (1996). The Influence of Pefloxacine on Experimental Adriamycin-Induced Nephrotic Syndrome in Rats. Renal Failure. 18(2). 195–199. 1 indexed citations
17.
Jonák, Jiřı́, et al.. (1988). Affinity labeling at the A-site of Escherichia coli ribosomes by a non-hydrolyzable γ-amide analog of GTP. Biochimie. 70(5). 597–603. 1 indexed citations
18.
Sedláček, Juraj, Milan Fábry, Ivan Rychlík, Dalibor Volný, & Antonı́n Vı́tek. (1978). Base pairing mRNA-rRNA. The arrangement of nucleotides in the message for coat protein of phage MS 2.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 22(5). 353–61. 2 indexed citations
19.
Jošt, Karel, et al.. (1975). Milk-ejecting and uterotonic activities of oxytocin analogues in rats.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(1). 35–42. 12 indexed citations
20.
Jonák, Jiřı́, Juraj Sedláček, & Ivan Rychlík. (1971). Tosylphenylalanyl chloromethane‐inhibitor of complex of S1S3‐factors in cell‐free protein‐synthetizing system from Bacillus stearothermophilus. FEBS Letters. 18(1). 6–8. 15 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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