Eva Seffer
Impact in
-
- Diabetes Management and Research
- Growth Hormone and Insulin-like Growth Factors
- Diabetes, Cardiovascular Risks, and Lipoproteins
-
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
Papers in
-
- Metabolism, Diabetes, and Cancer 13
- Protein Kinase Regulation and GTPase Signaling 7
- Receptor Mechanisms and Signaling 1
-
- Lipid metabolism and biosynthesis 2
- Co-authors
- Joanne Mushack (13 shared papers)Monika Kellerer (9 shared papers)Hans-Ulrich Häring (6 shared papers)Hans‐Ulrich Häring (3 shared papers)Bert Obermaier-Kusser (5 shared papers)Luitgard Mosthaf (5 shared papers)Axel Ullrich (3 shared papers)Britta Ermel (3 shared papers)
In The Last Decade
Eva Seffer
15 papers receiving 538 citations
Peers
Comparison fields: 5 of 51
- Endocrinology, Diabetes and Metabolism 145
- Molecular Biology 378
- Biochemistry 29
- Rehabilitation 14
- Cell Biology 26
Countries citing papers authored by Eva Seffer
This map shows the geographic impact of Eva Seffer'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 Eva Seffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Seffer more than expected).
Fields of papers citing papers by Eva Seffer
This network shows the impact of papers produced by Eva Seffer. 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 Eva Seffer. The network helps show where Eva Seffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Seffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 102 | |
| 2 | 1998 | 95 | |
| 3 | 1998 | 86 | |
| 4 | 1993 | 55 | |
| 5 | Mannose, glucosamine and inositol monophosphate inhibit the effects of insulin on lipogenesis. Further evidence for a role for inositol phosphate-oligosaccharides in insulin action. | 1990 | 50 |
| 6 | 1989 | 42 | |
| 7 | 1991 | 35 | |
| 8 | 1992 | 31 | |
| 9 | 1991 | 27 | |
| 10 | 1990 | 15 | |
| 11 | 1991 | 13 | |
| 12 | 1990 | 11 | |
| 13 | 1993 | 10 | |
| 14 | 1995 | 7 | |
| 15 | 2009 | 4 |
About Eva Seffer
Eva Seffer is a scholar working on Molecular Biology, Biochemistry, Endocrinology, Diabetes and Metabolism, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 583 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Lipid metabolism and biosynthesis (2 papers), Receptor Mechanisms and Signaling (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (145 citations), Molecular Biology (378 citations), Biochemistry (29 citations), Rehabilitation (14 citations) and Cell Biology (26 citations). Eva Seffer has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Joanne Mushack, Monika Kellerer, Hans-Ulrich Häring, Hans‐Ulrich Häring, Bert Obermaier-Kusser, Luitgard Mosthaf, Axel Ullrich, Britta Ermel, Fausto E Machicao and Harald Mischak. Their work appears in journals such as Biochemical Journal, Biochemical and Biophysical Research Communications, Diabetologia, Experimental and Clinical Endocrinology & Diabetes and European Journal of Biochemistry.
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.