Ernold Granzer

604 citations
27 papers · 522 · h-index 12

Impact in

    • Microbial Metabolism and Applications
    • Marine Sponges and Natural Products
  • Pharmacology top 10%
    • Microbial Natural Products and Biosynthesis

Papers in

Ernold Granzer

27 papers receiving 424 citations

Peers

Ernold Granzer
Comparison fields: 5 of 79
  • Biotechnology 94
  • Pharmacology 126
  • Organic Chemistry 197
  • Microbiology 4
  • Molecular Biology 220
Replace HAMAO UMEZAWA with:
HAMAO UMEZAWA Japan
Wilhelm Bartmann Germany
Hironobu Iinuma Japan
E. Baader Germany
Barry C. Ross United Kingdom
J. J. Godfroid France
Keith M. Witherup United States
Suk Kyoon Yoon South Korea
R. L. Magolda United States
Steven J. Kirincich United States
Ernold Granzer relative to HAMAO UMEZAWA Japan HAMAO UMEZAWA's profile →
Citations per field
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HAMAO UMEZAWA · 1×
Citations per year

Countries citing papers authored by Ernold Granzer

Since Specialization
Citations

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

Fields of papers citing papers by Ernold Granzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992118
2 199061
3 199051
4 199143
5 196233
6 196231
7 196021
8 198618
9 196218
10 196414
11 198814
12 197013
13 199312
14 198711
15 199410
16 19648
17 19636
18 19526
19 19645
20 19585

About Ernold Granzer

Ernold Granzer is a scholar working on Biochemistry, Organic Chemistry, Pharmacology, Spectroscopy and Computational Theory and Mathematics, having authored 27 papers that have together received 522 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Computational Drug Discovery Methods (3 papers), Inflammatory mediators and NSAID effects (3 papers), Chemical synthesis and pharmacological studies (2 papers), Cholesterol and Lipid Metabolism (2 papers), Analytical Chemistry and Chromatography (2 papers), Polyamine Metabolism and Applications (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biotechnology (94 citations), Pharmacology (126 citations), Organic Chemistry (197 citations), Microbiology (4 citations) and Molecular Biology (220 citations). Ernold Granzer has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Gerhard Ruhenstroth-Bauer, Heiner Jendralla, Wilhelm Bartmann, B. v. Kerékjártó, G. Beck, E. Baader, R. A. Krause, Andreas Bergmann, Günter Fred Fuhrmann and Kurt Keßeler. Their work appears in journals such as Die Naturwissenschaften, Journal of Medicinal Chemistry, Cellular and Molecular Life Sciences, Tetrahedron Letters and Pflügers Archiv - European Journal of Physiology.

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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