M. Donike

38 papers receiving 1.0k citations

Peers

M. Donike
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 449
  • Toxicology 79
  • Animal Science and Zoology 184
  • Spectroscopy 301
  • Cell Biology 195
Replace Rymantas Kazlauskas with:
Rymantas Kazlauskas Australia
Manfred Donike Germany
Monica Mazzarino Italy
Kazutake Shimada Japan
Kazutake Shimada Japan
Georg Opfermann Germany
Xavier de la Torre Italy
G. S. R. Subba Rao India
Donald S. Layne Canada
Henrique Marcelo Gualberto Pereira Brazil
M. Donike relative to Rymantas Kazlauskas Australia Rymantas Kazlauskas's profile →
Citations per field
00.5×1.5×2.0×
Rymantas Kazlauskas · 1×
Citations per year

Countries citing papers authored by M. Donike

Since Specialization
Citations

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

Fields of papers citing papers by M. Donike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Donike, 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 M. Donike Line = papers co-authored together M. Donike links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971138
2 1998120
3 1980120
4 199091
5 199175
6 197368
7
[Acylation with bis(acylamides). N-methyl-bis(trifluoroacetamide) and bis(trifluoroacetamide), two new reagents for trifluoroacetylation].
197368
8 199258
9 197351
10 197043
11 199636
12 197533
13 199627
14 197618
15 199717
16 197416
17 197414
18 197714
19 199212
20 198511

About M. Donike

M. Donike is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy, Organic Chemistry, Molecular Biology and Pharmaceutical Science, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Analytical Chemistry and Chromatography (12 papers), Pharmacogenetics and Drug Metabolism (4 papers), Fluorine in Organic Chemistry (4 papers), Muscle metabolism and nutrition (3 papers), Pharmacological Effects and Assays (3 papers), Chemical Synthesis and Analysis (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (449 citations), Toxicology (79 citations), Animal Science and Zoology (184 citations), Spectroscopy (301 citations) and Cell Biology (195 citations). M. Donike has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include J. Zimmermann, Wilhelm Schänzer, Lothar Jaenicke, Georg Opfermann, W. Schänzer, D. Müller, W Hollmann, H. Geyer, K. T. Weber and Petra Platen. Their work appears in journals such as Journal of Chromatography A, Chromatographia, Analytical and Bioanalytical Chemistry, Journal of Mass Spectrometry and The Journal of Steroid Biochemistry and Molecular Biology.

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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