Georg Tschank

800 citations
19 papers · 589 indexed · h-index 13

Impact in

Papers in

Georg Tschank

19 papers receiving 567 citations

Peers

Georg Tschank
Comparison fields: 5 of 74
  • Cancer Research 130
  • Endocrinology, Diabetes and Metabolism 142
  • Biochemistry 52
  • Molecular Biology 349
  • Hepatology 36
Replace M.C.M. van Dijk with:
M.C.M. van Dijk Netherlands
Yanxia Ning China
Russell Ericksen United States
David S. Calnek United States
Rosemary Armour United States
Kee Nyung Lee South Korea
Takamasa Kanbe Japan
Howard E. Boudreau United States
Eric D. Slosberg United States
Yuichiro Higuchi Japan
Georg Tschank relative to M.C.M. van Dijk Netherlands M.C.M. van Dijk's profile →
Citations per field
00.5×
M.C.M. van Dijk · 1×
Citations per year

Countries citing papers authored by Georg Tschank

Since Specialization
Citations

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

Fields of papers citing papers by Georg Tschank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 201319
2 201255
3 2010111
4 200546
5 200428
6 199858
7 199421
8 199458
9 199131
10 199045
11 198811
12 198738
13 198713
14 198711
15 19876
16
Immunological effects of thalidomide. Inactivity of the drug and several of its hydrolysis products in mononucleocyte proliferation tests.
198611
17 19862
18 19859
19 198216

About Georg Tschank

Georg Tschank is a scholar working on Biochemistry, Cancer Research, Cell Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 19 papers that have together received 589 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Aldose Reductase and Taurine (3 papers), Biochemical effects in animals (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Muscle metabolism and nutrition (2 papers), Adipose Tissue and Metabolism (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (130 citations), Endocrinology, Diabetes and Metabolism (142 citations), Biochemistry (52 citations), Molecular Biology (349 citations) and Hepatology (36 citations). Georg Tschank has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Volkmar Günzler, Norbert Tennagels, Hartmut M. Hanauske‐Abel, Karl‐Heinz Baringhaus, E. Baader, R. Kurrle, Mark Sommerfeld, Günter Müller, Gerhard Seipke and Martin Gerl. Their work appears in journals such as Biochemical Journal, Archives of Biochemistry and Biophysics, PLoS ONE, The Journal of Cell Biology and Journal of Molecular Endocrinology.

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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