R. Kaschnitz

547 citations
24 papers · 419 · h-index 11

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Mitochondrial Function and Pathology 3
    • Drug Transport and Resistance Mechanisms 4

R. Kaschnitz

24 papers receiving 372 citations

Peers

R. Kaschnitz
Comparison fields: 5 of 68
  • Pharmacology 88
  • Clinical Biochemistry 46
  • Biochemistry 27
  • Biochemistry 20
  • Cellular and Molecular Neuroscience 60
Replace S. E. Lewis with:
S. E. Lewis United Kingdom
Jack W. Rip Canada
Harold J. Nicholas United States
Peter Pfaender Germany
J.C. Schabort South Africa
Thomas H. Cromartie United States
Conny Valtersson Sweden
Marat B. Murataliev United States
Kumiko Kawaguchi Japan
T Mańkowski Poland
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Citations per field
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S. E. Lewis · 1×
Citations per year

Countries citing papers authored by R. Kaschnitz

Since Specialization
Citations

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

Fields of papers citing papers by R. Kaschnitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside R. Kaschnitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Kaschnitz Line = papers co-authored together R. Kaschnitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197575
2 197846
3 197344
4 198039
5 197638
6 196331
7 197826
8 197522
9 197320
10 199312
11 196512
12 196810
13 196910
14 19798
15 19696
16
Aryl 4-hydroxylase, cytochrome P-450 and microsomal lipids in essential fatty acid deficiency.
19705
17 19644
18 19724
19 19732
20 19671

About R. Kaschnitz

R. Kaschnitz is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Cell Biology and Physiology, having authored 24 papers that have together received 419 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Hemoglobin structure and function (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mitochondrial Function and Pathology (3 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Pharmacology (88 citations), Clinical Biochemistry (46 citations), Biochemistry (27 citations), Biochemistry (20 citations) and Cellular and Molecular Neuroscience (60 citations). R. Kaschnitz has collaborated with scholars based in Austria, United States and India. Frequent co-authors include Youssef Hatefi, Minor J. Coon, John H. Postlethwait, Gerhard Spiteller, Günther Kreil, Harold P. Morris, Anne P. Autor, Joanne K. Heidema, Meinrad Peterlik and Christa Mollay. Their work appears in journals such as FEBS Letters, Biochemical Pharmacology, Annals of the New York Academy of Sciences, European Journal of Biochemistry and Molecular Pharmacology.

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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