Günther Siebert

1.5k citations
108 papers · 1.2k · h-index 18

Impact in

Papers in

    • Biochemical and Molecular Research 7
    • DNA and Nucleic Acid Chemistry 7
    • ATP Synthase and ATPases Research 5
    • Amino Acid Enzymes and Metabolism 11

Günther Siebert

103 papers receiving 1.0k citations

Peers

Günther Siebert
Comparison fields: 5 of 113
  • Clinical Biochemistry 78
  • Nutrition and Dietetics 158
  • Physiology 43
  • Molecular Biology 581
  • Biochemistry 59
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John Goa Sweden
Joseph X. Khym United States
E. Murer United States
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Sadao Wakabayashi Japan
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Citations per year

Countries citing papers authored by Günther Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Günther Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196676
2 196254
3 198652
4 197852
5 198548
6 196541
7 197441
8 197139
9 195437
10 198536
11 195332
12 196631
13 198728
14 197126
15 195824
16 197323
17 195722
18 197318
19 196617
20
[Cation distribution in the cell nucleus and cytoplasm of rat liver].
196117

About Günther Siebert

Günther Siebert is a scholar working on Molecular Biology, Biochemistry, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Physiology, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (11 papers), Metabolism and Genetic Disorders (10 papers), Diet, Metabolism, and Disease (8 papers), Biochemical and Molecular Research (7 papers), DNA and Nucleic Acid Chemistry (7 papers), Digestive system and related health (6 papers), Enzyme Structure and Function (6 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Clinical Biochemistry (78 citations), Nutrition and Dietetics (158 citations), Physiology (43 citations), Molecular Biology (581 citations) and Biochemistry (59 citations). Günther Siebert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include R.M.S. Smellie, M Schönharting, Thomas E. Conover, G. Stark, Konrad Lang, L.S. Dietrich, H. Kasper, H.M. Keir, Martin Fritz and Konrad Lang. Their work appears in journals such as Die Naturwissenschaften, Annals of Nutrition and Metabolism, Caries Research, Cellular and Molecular Life Sciences and Journal of Nutrition.

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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