Herbert Schramek

2.0k citations
51 papers · 1.8k · h-index 27

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • TGF-β signaling in diseases 5
    • Receptor Mechanisms and Signaling 3
    • Melanoma and MAPK Pathways 3
    • Chronic Kidney Disease and Diabetes 6

Herbert Schramek

51 papers receiving 1.7k citations

Peers

Herbert Schramek
Comparison fields: 5 of 102
  • Nephrology 209
  • Cancer Research 196
  • Molecular Biology 850
  • Virology 54
  • Aging 19
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Rami Skaliter Israel
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Citations per field
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Citations per year

Countries citing papers authored by Herbert Schramek

Since Specialization
Citations

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

Fields of papers citing papers by Herbert Schramek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000107
2 1999104
3 200992
4 200188
5 199481
6 199269
7 200466
8
Constitutively active mitogen-activated protein kinase kinase MEK1 disrupts morphogenesis and induces an invasive phenotype in Madin-Darby canine kidney epithelial cells.
199965
9 199764
10 199163
11 200262
12 200761
13 200259
14 201846
15 200345
16 199742
17 199741
18 200833
19 200233
20 200832

About Herbert Schramek

Herbert Schramek is a scholar working on Molecular Biology, Nephrology, Oncology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Renin-Angiotensin System Studies (5 papers), TGF-β signaling in diseases (5 papers), Receptor Mechanisms and Signaling (3 papers), Melanoma and MAPK Pathways (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Nephrology (209 citations), Cancer Research (196 citations), Molecular Biology (850 citations), Virology (54 citations) and Aging (19 citations). Herbert Schramek has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Walter Pfaller, Roberto Montesano, Elisabeth Feifel, Doris Wilflingseder, Sigrid Mildenberger, Michael Gekle, Ruth Freudinger, Edel Healy, Gert Mayer and Gerhard Gstraunthaler. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Biochemical and Biophysical Research Communications, Kidney International, American Journal of Physiology-Cell Physiology and Journal of Pharmacology and Experimental Therapeutics.

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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