Rita Bernhardt

13.0k total citations · 2 hit papers
292 papers, 10.5k citations indexed

About

Rita Bernhardt is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rita Bernhardt has authored 292 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 152 papers in Pharmacology and 124 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rita Bernhardt's work include Pharmacogenetics and Drug Metabolism (147 papers), Hormonal Regulation and Hypertension (118 papers) and Steroid Chemistry and Biochemistry (71 papers). Rita Bernhardt is often cited by papers focused on Pharmacogenetics and Drug Metabolism (147 papers), Hormonal Regulation and Hypertension (118 papers) and Steroid Chemistry and Biochemistry (71 papers). Rita Bernhardt collaborates with scholars based in Germany, United States and Russia. Rita Bernhardt's co-authors include Frank Hannemann, Kerstin Maria Ewen, Abd Elmoneim O. Elkhalifa, Vlada B. Urlacher, Burkhard Schiffler, G. C. McGonigal, D. J. Thomson, Josef Zapp, Michael Lisurek and Matthias Bureik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Rita Bernhardt

286 papers receiving 10.4k citations

Hit Papers

Cytochromes P450 as versa... 2006 2026 2012 2019 2006 2006 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rita Bernhardt 5.9k 4.3k 2.6k 966 923 292 10.5k
Paul R. Ortiz de Montellano 9.1k 1.5× 4.3k 1.0× 575 0.2× 3.6k 3.7× 1.2k 1.3× 325 16.9k
T.L. Poulos 13.0k 2.2× 6.2k 1.4× 636 0.2× 5.4k 5.6× 1.3k 1.4× 338 25.1k
Ronald W. Estabrook 5.0k 0.8× 5.3k 1.2× 1.6k 0.6× 312 0.3× 602 0.7× 135 10.7k
Michael R. Waterman 10.4k 1.8× 7.9k 1.8× 5.5k 2.1× 706 0.7× 2.0k 2.2× 347 22.7k
John B. Schenkman 3.9k 0.7× 5.1k 1.2× 888 0.3× 234 0.2× 502 0.5× 188 9.7k
Ryo Sato 6.9k 1.2× 11.8k 2.7× 1.6k 0.6× 339 0.4× 1.2k 1.3× 125 17.3k
Tsuneo Omura 11.1k 1.9× 13.3k 3.1× 2.9k 1.1× 462 0.5× 1.6k 1.7× 176 23.7k
Alan Brash 6.0k 1.0× 1000 0.2× 486 0.2× 631 0.7× 3.8k 4.1× 229 14.7k
Andrew W. Munro 5.6k 0.9× 4.2k 1.0× 198 0.1× 1.9k 2.0× 819 0.9× 219 9.3k
W. W. Cleland 9.6k 1.6× 488 0.1× 680 0.3× 468 0.5× 370 0.4× 107 13.8k

Countries citing papers authored by Rita Bernhardt

Since Specialization
Citations

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

Fields of papers citing papers by Rita Bernhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Bernhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Bernhardt. A scholar is included among the top collaborators of Rita Bernhardt 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 Rita Bernhardt. Rita Bernhardt 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.
Pirhadi, Somayeh, et al.. (2025). How evolution shaped the structure of steroidogenic cytochrome P450 11A. Journal of Inorganic Biochemistry. 274. 113105–113105.
2.
Petkova‐Kirova, Polina, et al.. (2024). SNPs in cytochromes P450 catalyzing cholesterol degradation in brain are associated with Parkinson’s disease. Frontiers in Pharmacology. 15. 1477009–1477009.
3.
Rozeboom, H.J., Hein J. Wijma, Reinhard Kappl, et al.. (2023). Regio‐ and stereoselective steroid hydroxylation by CYP109A2 from Bacillus megaterium explored by X‐ray crystallography and computational modeling. FEBS Journal. 290(20). 5016–5035. 5 indexed citations
4.
Petkova‐Kirova, Polina, et al.. (2023). SNPs in cytochrome P450 genes decide on the fate of individuals with genetic predisposition to Parkinson’s disease. Frontiers in Pharmacology. 14. 1244516–1244516. 4 indexed citations
5.
Hutter, Michael C., et al.. (2021). Resurrection and characterization of ancestral CYP11A1 enzymes. FEBS Journal. 288(22). 6510–6527. 17 indexed citations
6.
Lebouvier, Nicolas, Fabrice Pagniez, Da Shi, et al.. (2020). Synthesis, Optimization, Antifungal Activity, Selectivity, and CYP51 Binding of New 2-Aryl-3-azolyl-1-indolyl-propan-2-ols. Pharmaceuticals. 13(8). 186–186. 14 indexed citations
7.
Zapp, Josef, et al.. (2016). Characterization of cytochrome P450 CYP109E1 from Bacillus megaterium as a novel vitamin D3 hydroxylase. Journal of Biotechnology. 243. 38–47. 23 indexed citations
8.
Zapp, Josef, et al.. (2016). Structural basis of steroid binding and oxidation by the cytochrome P450 CYP109E1 from Bacillus megaterium. FEBS Journal. 283(22). 4128–4148. 50 indexed citations
9.
Neunzig, Jens, et al.. (2015). 2β- and 16β-hydroxylase activity of CYP11A1 and direct stimulatory effect of estrogens on pregnenolone formation. The Journal of Steroid Biochemistry and Molecular Biology. 150. 1–10. 22 indexed citations
10.
Schuster, Inge & Rita Bernhardt. (2011). Interactions of natural polyamines with mammalian proteins. BioMolecular Concepts. 2(1-2). 79–94. 27 indexed citations
11.
Khatri, Yogan, Frank Hannemann, Kerstin Maria Ewen, et al.. (2010). The CYPome of Sorangium cellulosum So ce56 and Identification of CYP109D1 as a New Fatty Acid Hydroxylase. Chemistry & Biology. 17(12). 1295–1305. 46 indexed citations
12.
Wörner, Martin, Nathanaël Delmotte, Kyung Hoon Hwang, et al.. (2009). Shotgun proteomic analysis of the microsomal fraction of eukaryotic cells using a two‐dimensional reversed‐phase×ion‐pair reversed‐phase HPLC setup. Journal of Separation Science. 32(8). 1165–1174. 5 indexed citations
14.
Napoli, Eleonora, Dexter Morin, Rita Bernhardt, Alan R. Buckpitt, & Gino Cortopassi. (2007). Hemin rescues adrenodoxin, heme a and cytochrome oxidase activity in frataxin-deficient oligodendroglioma cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1772(7). 773–780. 36 indexed citations
15.
Diesel, Britta, Matthias Bureik, Rita Bernhardt, et al.. (2005). Vitamin D3 Metabolism in Human Glioblastoma Multiforme: Functionality of CYP27B1 Splice Variants, Metabolism of Calcidiol, and Effect of Calcitriol. Clinical Cancer Research. 11(15). 5370–5380. 70 indexed citations
16.
Štrauch, Branislav, Tomáš Zelinka, Mathias Hampf, Rita Bernhardt, & J Widimský. (2003). Prevalence of primary hyperaldosteronism in moderate to severe hypertension in the Central Europe region. Journal of Human Hypertension. 17(5). 349–352. 173 indexed citations
17.
Ganten, Detlev & Rita Bernhardt. (1998). Handbuch der molekularen Medizin. Springer eBooks. 6 indexed citations
18.
Bernhardt, Rita, et al.. (1996). Engineering a Mineralocorticoid- to a Glucocorticoid-synthesizing Cytochrome P450. Journal of Biological Chemistry. 271(14). 8028–8033. 43 indexed citations
19.
20.
Jänig, G.-R., et al.. (1984). Chemical modification of cytochrome P-450 LM2. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 787(1). 8–18. 16 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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