Eva Degerman
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Physiology top 1%
- Adipose Tissue and Metabolism
Papers in
-
- Phosphodiesterase function and regulation 64
- Receptor Mechanisms and Signaling 22
- Metabolism, Diabetes, and Cancer 19
- Protein Kinase Regulation and GTPase Signaling 13
- Surgery 25
- Pancreatic function and diabetes 25
- Co-authors
- Vincent C. Manganiello (61 shared papers)Per Belfrage (23 shared papers)Cecilia Holm (10 shared papers)Vincent Manganiello (12 shared papers)Hans Törnqvist (10 shared papers)Olga Göransson (16 shared papers)Carolyn J. Smith (7 shared papers)Lars Rönnstrand (4 shared papers)
- Journals
- Journal of Biological Chemistry (16 papers)Biochemical Journal (14 papers)Cellular Signalling (9 papers)Biochemical and Biophysical Research Communications (6 papers)Acta Oto-Laryngologica (4 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Eva Degerman
129 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 122
- Biochemistry 797
- Physiology 1.8k
- Molecular Biology 4.1k
- Pharmacology 791
- Physiology 209
Countries citing papers authored by Eva Degerman
This map shows the geographic impact of Eva Degerman'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 Degerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Degerman more than expected).
Fields of papers citing papers by Eva Degerman
This network shows the impact of papers produced by Eva Degerman. 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 Degerman. The network helps show where Eva Degerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Degerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 378 | |
| 2 | 1997 | 346 | |
| 3 | 1995 | 212 | |
| 4 | 2016 | 184 | |
| 5 | 1990 | 149 | |
| 6 | 2006 | 140 | |
| 7 | 1999 | 138 | |
| 8 | 1996 | 137 | |
| 9 | 1992 | 131 | |
| 10 | 2014 | 127 | |
| 11 | 2002 | 121 | |
| 12 | 2009 | 119 | |
| 13 | 1995 | 114 | |
| 14 | 1994 | 111 | |
| 15 | 1998 | 108 | |
| 16 | 1987 | 107 | |
| 17 | 2009 | 104 | |
| 18 | 1991 | 103 | |
| 19 | 2011 | 101 | |
| 20 | 2012 | 96 |
About Eva Degerman
Eva Degerman is a scholar working on Molecular Biology, Surgery, Physiology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 130 papers that have together received 6.3k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (64 papers), Pancreatic function and diabetes (25 papers), Receptor Mechanisms and Signaling (22 papers), Metabolism, Diabetes, and Cancer (19 papers), Neuropeptides and Animal Physiology (13 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Biochemistry (797 citations), Physiology (1.8k citations), Molecular Biology (4.1k citations), Pharmacology (791 citations) and Physiology (209 citations). Eva Degerman has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Vincent C. Manganiello, Per Belfrage, Cecilia Holm, Vincent Manganiello, Hans Törnqvist, Olga Göransson, Carolyn J. Smith, Lars Rönnstrand, Christer Wernstedt and Emilia Heimann. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Cellular Signalling, Biochemical and Biophysical Research Communications and Acta Oto-Laryngologica.
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.