Gert M. Kostner

61 papers receiving 2.4k citations

Peers

Gert M. Kostner
Comparison fields: 5 of 102
  • Biochemistry 199
  • Endocrinology, Diabetes and Metabolism 539
  • Clinical Biochemistry 206
  • Biochemistry 214
  • Cancer Research 398
Replace Saša Frank with:
Saša Frank Austria
R. Fumagalli Italy
James R. Paterniti United States
Ming-Hui Zou United States
Nathalie Hennuyer France
Judy G. Verstuyft United States
Uday Saxena United States
David G. Hassall United Kingdom
Akira Uruno Japan
David W. Garber United States
Gert M. Kostner relative to Saša Frank Austria Saša Frank's profile →
Citations per field
00.5×1.6×
Saša Frank · 1×
Citations per year

Countries citing papers authored by Gert M. Kostner

Since Specialization
Citations

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

Fields of papers citing papers by Gert M. Kostner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gert M. Kostner. 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 Gert M. Kostner. The network helps show where Gert M. Kostner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001175
2 1991124
3 1996117
4 1998101
5 200191
6 199586
7 199884
8 199782
9 199682
10 201177
11 199973
12 199970
13 200265
14 199762
15 200057
16 199856
17 201655
18 199855
19 199953
20 200152

About Gert M. Kostner

Gert M. Kostner is a scholar working on Surgery, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (27 papers), Cancer, Lipids, and Metabolism (10 papers), Nitric Oxide and Endothelin Effects (8 papers), Antioxidant Activity and Oxidative Stress (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Biochemistry (199 citations), Endocrinology, Diabetes and Metabolism (539 citations), Clinical Biochemistry (206 citations), Biochemistry (214 citations) and Cancer Research (398 citations). Gert M. Kostner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Wolfgang F. Graier, Karam Kostner, Wolfgang Sattler, Helena Schmidt, Saša Frank, Albin Hermetter, Walter R. Kukovetz, Andelko Hrzenjak, Thomas C. Wascher and Hermann Esterbauer. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Clinica Chimica Acta, British Journal of Pharmacology and Biochemical Journal.

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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