H. Nau

1.8k total citations
37 papers, 1.4k citations indexed

About

H. Nau is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, H. Nau has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pediatrics, Perinatology and Child Health, 13 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in H. Nau's work include Pharmacological Effects and Toxicity Studies (15 papers), Epilepsy research and treatment (8 papers) and Analytical Chemistry and Chromatography (6 papers). H. Nau is often cited by papers focused on Pharmacological Effects and Toxicity Studies (15 papers), Epilepsy research and treatment (8 papers) and Analytical Chemistry and Chromatography (6 papers). H. Nau collaborates with scholars based in Germany, United States and Austria. H. Nau's co-authors include K. Biemann, Katharine Ehlers, Hans‐Joachim Merker, W Löscher, H. Siemes, W. Wittfoht, R.-S. Hauck, H. L. Spohr, James A. Kelley and D. Rating and has published in prestigious journals such as Biochemistry, Analytical Biochemistry and Environmental Health Perspectives.

In The Last Decade

H. Nau

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Nau Germany 20 661 500 330 224 155 37 1.4k
Jan Jacobsen Denmark 17 471 0.7× 675 1.4× 64 0.2× 67 0.3× 41 0.3× 38 1.6k
W. R. Robertson United Kingdom 25 159 0.2× 636 1.3× 72 0.2× 420 1.9× 22 0.1× 123 2.0k
João J.F. Sarkis Brazil 22 142 0.2× 431 0.9× 138 0.4× 113 0.5× 8 0.1× 68 1.5k
Takashi Okura Japan 22 250 0.4× 336 0.7× 138 0.4× 58 0.3× 47 0.3× 64 1.3k
Marcella Camici Italy 25 210 0.3× 1.3k 2.5× 60 0.2× 46 0.2× 16 0.1× 100 2.1k
Ross Dixon United States 21 132 0.2× 390 0.8× 51 0.2× 42 0.2× 79 0.5× 50 1.3k
Samson Symchowicz United States 22 115 0.2× 268 0.5× 49 0.1× 43 0.2× 86 0.6× 58 1.2k
Ying He China 26 102 0.2× 475 0.9× 56 0.2× 86 0.4× 32 0.2× 89 1.6k
Judith van Asperen Netherlands 13 686 1.0× 383 0.8× 47 0.1× 62 0.3× 34 0.2× 20 1.8k
Michael J. Coady Canada 25 141 0.2× 1.4k 2.8× 34 0.1× 58 0.3× 61 0.4× 40 2.5k

Countries citing papers authored by H. Nau

Since Specialization
Citations

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

Fields of papers citing papers by H. Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Nau

This figure shows the co-authorship network connecting the top 25 collaborators of H. Nau. A scholar is included among the top collaborators of H. Nau 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 H. Nau. H. Nau 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.
Chen, WenChieh, Jörn Oliver Sass, Holger Seltmann, et al.. (2000). Biological effects and metabolism of 9- cis -retinoic acid and its metabolite 9,13-di- cis -retinoic acid in HaCaT keratinocytes in vitro: comparison with all- trans -retinoic acid. Archives of Dermatological Research. 292(12). 612–620. 9 indexed citations
2.
Spiegelstein, Ofer, Meir Bialer, Matthias Radatz, H. Nau, & Boris Yagen. (1999). Enantioselective synthesis and teratogenicity of propylisopropyl acetamide, a CNS-active chiral amide analogue of valproic acid. Chirality. 11(8). 645–650. 14 indexed citations
3.
Sass, Jörn Oliver, Georg Tzimas, Mohamed M. Elmazar, & H. Nau. (1999). Metabolism of Retinaldehyde Isomers in Pregnant Rats: 13-cis- and all-trans-Retinaldehyde, but not 9-cis-Retinaldehyde, Yield Very Similar Patterns of Retinoid Metabolites. Drug Metabolism and Disposition. 27(3). 317–321. 11 indexed citations
4.
Ehlers, Katharine, Christopher L. Bacon, Anna Kawa, et al.. (1998). Studies on the teratogen pharmacophore of valproic acid analogues: evidence of interactions at a hydrophobic centre. European Journal of Pharmacology. 354(2-3). 289–299. 53 indexed citations
5.
Scott, William J., Claire M. Schreiner, H. Nau, et al.. (1997). Valproate-induced limb malformations in mice associated with reduction of intracellular pH. Reproductive Toxicology. 11(4). 483–493. 15 indexed citations
6.
Koch, S., Elke Jäger‐Roman, G Lösche, et al.. (1996). Antiepileptic drug treatment in pregnancy: drug side effects in the neonate and neurological outcome. Acta Paediatrica. 85(6). 739–746. 71 indexed citations
7.
Dencker, Lennart, et al.. (1996). Stereoselective distribution of the teratogenic thalidomide analogue EM12 in the early embryo of marmoset monkey, Wistar rat and NMRI mouse. Archives of Toxicology. 70(11). 749–756. 15 indexed citations
8.
Nau, H.. (1995). Chemical structure—teratogenicity relationships, toxicokinetics and metabolism in risk assessment of retinoids. Toxicology Letters. 82-83. 975–979. 12 indexed citations
9.
Sandberg, Jennifer A., C. Eckhoff, H. Nau, & William Slikker. (1994). Pharmacokinetics of 13-cis-, all-trans-, 13-cis-4-oxo-, and all-trans-4-oxo retinoic acid after intravenous administration in the cynomolgus monkey.. Drug Metabolism and Disposition. 22(1). 154–160. 17 indexed citations
10.
Fisher, Robyn L., et al.. (1994). Comparative toxicity of valproic acid and its metabolites in liver slices from adult rats, weanling rats and humans. Toxicology in Vitro. 8(3). 371–379. 14 indexed citations
13.
Ehlers, Katharine, et al.. (1992). Valproic acid‐induced spina bifida: A mouse model. Teratology. 45(2). 145–154. 111 indexed citations
14.
Wegner, Christian, et al.. (1990). Zinc concentrations in mouse embryo and maternal plasma. Biological Trace Element Research. 25(3). 211–217. 12 indexed citations
15.
Löscher, W, J. Edward Fisher, H. Nau, & Dagmar Hönack. (1989). Valproic acid in amygdala-kindled rats: alterations in anticonvulsant efficacy, adverse effects and drug and metabolite levels in various brain regions during chronic treatment.. Journal of Pharmacology and Experimental Therapeutics. 250(3). 1067–1078. 58 indexed citations
17.
Siemes, H., et al.. (1988). Therapy of Infantile Spasms with Valproate: Results of a Prospective Study. Epilepsia. 29(5). 553–560. 89 indexed citations
18.
Reiners, John J., Boël Löfberg, J C Kraft, D. M. Kochhar, & H. Nau. (1988). Transplacental pharmacokinetics of teratogenic doses of etretinate and other aromatic retinoids in mice. Reproductive Toxicology. 2(1). 19–29. 18 indexed citations
19.
Nau, H., et al.. (1988). Pregnancy‐Specific Changes of Antipyrine Pharmacokinetics Correlate Inversely with Changes of Estradiol/Progesterone Plasma Concentration Ratios. The Journal of Clinical Pharmacology. 28(3). 216–221. 2 indexed citations
20.
Nau, H.. (1986). Species differences in pharmacokinetics and drug teratogenesis.. Environmental Health Perspectives. 70. 113–129. 152 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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