R Hampl

525 total citations
38 papers, 437 citations indexed

About

R Hampl is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, R Hampl has authored 38 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in R Hampl's work include Hormonal and reproductive studies (21 papers), Estrogen and related hormone effects (7 papers) and Hormonal Regulation and Hypertension (6 papers). R Hampl is often cited by papers focused on Hormonal and reproductive studies (21 papers), Estrogen and related hormone effects (7 papers) and Hormonal Regulation and Hypertension (6 papers). R Hampl collaborates with scholars based in Czechia, Finland and Italy. R Hampl's co-authors include L Stárka, Martin Hill, Oldřich Lapčı́k, Nawaf Al‐Maharik, Herman Adlercreutz, Kristiina Wähälä, Marie Bičı́ková, Katariina Stumpf, Heikki Mikola and Mariko Uehara and has published in prestigious journals such as The Journal of Steroid Biochemistry and Molecular Biology, Steroids and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

R Hampl

36 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Hampl Czechia 12 202 143 139 110 52 38 437
Milka Sekulić Canada 13 149 0.7× 77 0.5× 89 0.6× 44 0.4× 43 0.8× 33 324
Nataša Ristić Serbia 13 134 0.7× 89 0.6× 127 0.9× 74 0.7× 31 0.6× 57 442
Morris L. Givner Canada 14 220 1.1× 117 0.8× 38 0.3× 263 2.4× 30 0.6× 49 673
Margaret A. Zimmerman United States 13 263 1.3× 217 1.5× 28 0.2× 165 1.5× 60 1.2× 20 733
Tsuneo Masaki Japan 10 82 0.4× 48 0.3× 105 0.8× 165 1.5× 34 0.7× 22 451
Leslie G. Newton United States 5 55 0.3× 152 1.1× 75 0.5× 153 1.4× 12 0.2× 7 365
Carine Royer Brazil 13 103 0.5× 184 1.3× 39 0.3× 189 1.7× 16 0.3× 21 563
Elena Korik Belarus 5 41 0.2× 47 0.3× 186 1.3× 61 0.6× 62 1.2× 6 450
Rasha N.M. Saleh United Kingdom 8 92 0.5× 58 0.4× 40 0.3× 100 0.9× 106 2.0× 13 370
H. G. Solbach Germany 10 185 0.9× 39 0.3× 28 0.2× 68 0.6× 13 0.3× 35 354

Countries citing papers authored by R Hampl

Since Specialization
Citations

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

Fields of papers citing papers by R Hampl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Hampl

This figure shows the co-authorship network connecting the top 25 collaborators of R Hampl. A scholar is included among the top collaborators of R Hampl 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 R Hampl. R Hampl 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.
Bičı́ková, Marie, et al.. (2021). Endocrine Risk Factors for COVID-19 in Context of Aging. Physiological Research. 70(S2). S153–S159. 3 indexed citations
2.
Hampl, R, et al.. (2016). Amino Acid Metabolism in Human Embryos. Physiological Research. 65(5). 823–832. 13 indexed citations
3.
Dvořáková, Marcela, et al.. (2009). Sex hormone-binding globulin in congenital adrenal hyperplasia. Hormone Molecular Biology and Clinical Investigation. 1(2). 89–93. 2 indexed citations
4.
Hampl, R, et al.. (2009). Influence of Trifluoperazine on ACTH-or Angiotensin-Stimulated Mineralocorticoid and Glucocorticoid Secretion in Man. Experimental and Clinical Endocrinology & Diabetes. 90(4). 93–98. 2 indexed citations
5.
Matucha, Petr, et al.. (2008). Immunoprotective Steroids and SHBG in Non-Treated Hypothyroidism and Their Relationship to Autoimmune Thyroid Disorders. Physiological Research. 57 Suppl 1. S119–S125. 8 indexed citations
6.
Bičı́ková, Marie, et al.. (2008). Roles of steroid sulfatase in brain and other tissues. Physiological Research. 57(5). 657–668. 23 indexed citations
7.
Heráček, Jiří, et al.. (2007). Tissue and serum levels of principal androgens in benign prostatic hyperplasia and prostate cancer. Steroids. 72(4). 375–380. 46 indexed citations
8.
9.
Hampl, R, Martin Hill, & L Stárka. (2001). 7-Hydroxydehydroepiandrosterone epimers in the life span. The Journal of Steroid Biochemistry and Molecular Biology. 78(4). 367–372. 20 indexed citations
10.
Lapčı́k, Oldřich, R Hampl, Mariko Uehara, et al.. (2000). Time-resolved fluoroimmunoassay of plasma daidzein and genistein11Abbreviations: Daidzein (Da), genistein (Gen), gas-liquid chromatography (GC), high performance liquid chromatography (HPLC), mass spectrometry (MS), radioimmunoassay (RIA), time-resolved fluoroimmunoassay (TR-FIA), enzymeimmunoassay (EIA), fluoroimmunoassay (FIA), bovine serum albumin (BSA), N,N′-dicyclohexylcarbodiimide (DCC), N-hydroxysuccinimide (NHS), isotope dilution gas chromatography-mass spectrometry in the selected ion monitoring mode (ID-GC-MS-SIM), coefficients of variation (CVs). B = Binding of tracer to antibody in the presence of unlabeled analyte. B0 = Binding of tracer to antibody in the absence of unlabeled analyte. T = Total amount of tracer added. Estradiol = estradiol-17β.. Steroids. 65(6). 339–348. 87 indexed citations
11.
Hill, Martin, Oldřich Lapčı́k, J Šulcová, et al.. (1999). Age Relationships and Sex Differences in Serum Levels of Pregnenolone and 17-Hydroxypregnenolone in Normal Subjects. Clinical Chemistry and Laboratory Medicine (CCLM). 37(4). 439–447. 33 indexed citations
12.
Lapčı́k, Oldřich, R Hampl, Nawaf Al‐Maharik, et al.. (1997). A novel radioimmunoassay for daidzein. Steroids. 62(3). 315–320. 56 indexed citations
13.
Bičı́ková, Marie, et al.. (1997). Inhibition of Rat Renal and Testicular 11β-Hydroxysteroid Dehydrogenase by Some Antihypertensive Drugs, Diuretics, and Epitestosterone. Hormone and Metabolic Research. 29(9). 465–468. 8 indexed citations
14.
Stárka, L, et al.. (1996). [Epitestosterone as an endogenous antiandrogen in men].. PubMed. 42(9). 620–3. 1 indexed citations
15.
Hampl, R, et al.. (1995). Plasma levels of epitestosterone from prepuberty to adult life. The Journal of Steroid Biochemistry and Molecular Biology. 55(3-4). 405–408. 19 indexed citations
16.
Bičı́ková, Marie, R Hampl, & L Stárka. (1989). [Does epitestosterone function as an endogenous antiandrogen?].. PubMed. 128(24). 754–5. 1 indexed citations
17.
Stárka, L, et al.. (1985). Changes induced in rabbit plasma and aqueous humour by ACTH4-10 and ACTH1-24.. PubMed. 19(1). 25–8. 1 indexed citations
18.
Stárka, L, R Hampl, & J Obenberger. (1977). Aldosterone binding in bovine ciliary body.. PubMed. 11(3). 203–8. 5 indexed citations
19.
Stárka, L, et al.. (1976). [Testosterone level in the plasma of boys with unilateral and bilateral eryptorchism during adolescence].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 31(4). 197–9.
20.
Stárka, L, R Hampl, & Jiří Raboch. (1971). [Dependence on age factors of plasma levels and excretion of testosterone in men].. PubMed. 110(46). 1081–2. 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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