Miloslav Suchánek

1.4k total citations
66 papers, 1.0k citations indexed

About

Miloslav Suchánek is a scholar working on Analytical Chemistry, Pollution and Immunology. According to data from OpenAlex, Miloslav Suchánek has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Analytical Chemistry, 9 papers in Pollution and 9 papers in Immunology. Recurrent topics in Miloslav Suchánek's work include Analytical chemistry methods development (10 papers), Heavy metals in environment (7 papers) and Scientific Measurement and Uncertainty Evaluation (7 papers). Miloslav Suchánek is often cited by papers focused on Analytical chemistry methods development (10 papers), Heavy metals in environment (7 papers) and Scientific Measurement and Uncertainty Evaluation (7 papers). Miloslav Suchánek collaborates with scholars based in Czechia, India and Germany. Miloslav Suchánek's co-authors include Oto Mestek, Richard Koplı́k, Tomáš Zima, Vladimı́r Tesař, Z. Deyl, Dietmar Knopp, Reinhard Nießner, Marek Prouza, Yinming Liang and Marie Malissen and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Immunology and The Journal of Immunology.

In The Last Decade

Miloslav Suchánek

66 papers receiving 998 citations

Peers

Miloslav Suchánek

IMMUN

HTM

Silvia Schiarea Italy

Kyung Su Park South Korea

Hui Yin China

Huijuan Wang China

H. Wesch Germany

Chi‐Yu Lu Taiwan

E. Bomhard Germany

Xuefeng Yang China

Pilar Ximénez‐Embún Spain

Jie‐Hua Chen China

Silvia Schiarea Italy

Miloslav Suchánek

277 ×1.2

IMMUN

311 ×1.7

161 ×1.0

126 ×1.1

HTM

41 ×0.4

Citations per year, relative to Miloslav Suchánek Miloslav Suchánek (= 1×) peers Silvia Schiarea

Countries citing papers authored by Miloslav Suchánek

Since Specialization

Citations

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

Fields of papers citing papers by Miloslav Suchánek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloslav Suchánek

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

All Works

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20 of 20 papers shown

Neprašová, Michaela, Dita Maixnerová, Federica Genovese, et al.. (2023). Serum and Urine Biomarkers Related to Kidney Fibrosis Predict Kidney Outcome in Czech Patients with IgA Nephropathy. International Journal of Molecular Sciences. 24(3). 2064–2064. 8 indexed citations

Satrapová, Veronika, Federica Genovese, M.A. Karsdal, et al.. (2023). Biomarkers of fibrosis, kidney tissue injury and inflammation may predict severity and outcome of renal ANCA – associated vasculitis. Frontiers in Immunology. 14. 1122972–1122972. 10 indexed citations

Maixnerová, Dita, Petra Hrubá, Michaela Neprašová, et al.. (2021). Outcome of 313 Czech Patients With IgA Nephropathy After Renal Transplantation. Frontiers in Immunology. 12. 726215–726215. 9 indexed citations

Maixnerová, Dita, Stacy Hall, Colin Reily, et al.. (2019). Galactose-deficient IgA1 and the corresponding IgG autoantibodies predict IgA nephropathy progression. PLoS ONE. 14(2). e0212254–e0212254. 45 indexed citations

Ciferská, Hana, Eva Honsová, Alena Lodererová, et al.. (2019). Does the renal expression of Toll-like receptors play a role in patients with IgA nephropathy?. Journal of Nephrology. 33(2). 307–316. 17 indexed citations

Machacek, Christian, Verena Supper, Vladimı́r Leksa, et al.. (2016). Folate Receptor β Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen. The Journal of Immunology. 197(6). 2229–2238. 16 indexed citations

Roncagalli, Romain, Claude Grégoire, Stéphane Audebert, et al.. (2016). The scaffolding function of the RLTPR protein explains its essential role for CD28 co-stimulation in mouse and human T cells. The Journal of Experimental Medicine. 213(11). 2437–2457. 60 indexed citations

Šmída, Michal, Holger Lingel, Luca Simeoni, et al.. (2013). PAG/Cbp suppression reveals a contribution of CTLA-4 to setting the activation threshold in T cells. Cell Communication and Signaling. 11(1). 28–28. 9 indexed citations

Bibova, Ilona, Irena Linhartová, Ondřej Staněk, et al.. (2011). Detection of immune cell response to M. tuberculosis–specific antigens by quantitative polymerase chain reaction. Diagnostic Microbiology and Infectious Disease. 72(1). 68–78. 22 indexed citations

10.

Suchánek, Miloslav, et al.. (2010). Menopause: clustering of metabolic syndrome components and population changes in insulin resistance. Climacteric. 14(1). 83–91. 39 indexed citations

11.

Dopfer, Elaine P., Christine Louis-Dit-Sully, Marek Prouza, et al.. (2009). Analysis of novel phospho-ITAM specific antibodies in a S2 reconstitution system for TCR–CD3 signalling. Immunology Letters. 130(1-2). 43–50. 11 indexed citations

12.

Suchánek, Miloslav & Piotr Robouch. (2009). Measurement uncertainty of test kit results – the ELISA example. Clinical Chemistry and Laboratory Medicine (CCLM). 47(7). 808–10. 1 indexed citations

13.

Monaco, Elisa Lo, Leonardo Sibilio, Elisa Melucci, et al.. (2008). HLA-E: Strong Association with β2-Microglobulin and Surface Expression in the Absence of HLA Class I Signal Sequence-Derived Peptides. The Journal of Immunology. 181(8). 5442–5450. 33 indexed citations

14.

Suchánek, Miloslav, et al.. (2003). ICP-MS determination of heavy metals in submerged cultures of wood-rotting fungi. Talanta. 62(3). 483–487. 36 indexed citations

15.

Scharnweber, Tim, Michal Fisher, Miloslav Suchánek, Dietmar Knopp, & Reinhard Nießner. (2001). Monoclonal antibody to polycyclic aromatic hydrocarbons based on a new benzo[a]pyrene immunogen. Fresenius Journal of Analytical Chemistry. 371(5). 578–585. 36 indexed citations

16.

Mestek, Oto, et al.. (2000). Determination of copper, selenium and zinc in human blood by inductively coupled mass spectrometry: the sources of uncertainty and variability of results.. PubMed. 101(1). 1–10. 3 indexed citations

17.

Zima, Tomáš, Oto Mestek, Karel Němeček, et al.. (1998). Trace Elements in Hemodialysis and Continuous Ambulatory Peritoneal Dialysis Patients. Blood Purification. 16(5). 253–260. 48 indexed citations

18.

Deyl, Z., et al.. (1996). Separation of common nucleotides, mono-, di- and triphosphates, by capillary electrophoresis. Journal of Chromatography B Biomedical Sciences and Applications. 681(1). 99–105. 37 indexed citations

19.

Horská, Alena, et al.. (1991). The phosphate pool of isolated dog heart during global ischaemia: comparison of two cardioplegic solutions with 31P NMR spectroscopy.. PubMed. 40(4). 427–36. 1 indexed citations

20.

Suchánek, Miloslav, et al.. (1984). Purification of xylenol orange by preparative paper chromatography, and examination of its zirconium complex. Talanta. 31(8). 645–647. 3 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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