Herbert Schramek

2.0k citations
51 papers · 1.7k · h-index 26

Impact in

Papers in

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

Herbert Schramek

51 papers receiving 1.7k citations

Peers

Herbert Schramek
Comparison fields: 5 of 100
  • Nephrology 221
  • Cancer Research 199
  • Molecular Biology 880
  • Virology 51
  • Transplantation 29
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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 2000103
2 1999101
3 200991
4 200182
5 199476
6 199264
7
Constitutively active mitogen-activated protein kinase kinase MEK1 disrupts morphogenesis and induces an invasive phenotype in Madin-Darby canine kidney epithelial cells.
199962
8 200461
9 199161
10 199761
11 200260
12 200759
13 200255
14 200345
15 201844
16 199742
17 199741
18 201131
19 200630
20 200830

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 1.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Renin-Angiotensin System Studies (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Melanoma and MAPK Pathways (3 papers), Connective Tissue Growth Factor Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Nephrology (221 citations), Cancer Research (199 citations), Molecular Biology (880 citations), Virology (51 citations) and Transplantation (29 citations). Herbert Schramek has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Walter Pfaller, Roberto Montesano, Doris Wilflingseder, Elisabeth Feifel, Michael Gekle, Sigrid Mildenberger, Edel Healy, Gert Mayer, Ruth Freudinger and Gerhard Gstraunthaler. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney International, Biochemical and Biophysical Research Communications, 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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