Eva Degerman

8.6k citations
149 papers · 7.2k · h-index 48

Impact in

Papers in

    • Phosphodiesterase function and regulation 79
    • Receptor Mechanisms and Signaling 24
    • Metabolism, Diabetes, and Cancer 20
    • Protein Kinase Regulation and GTPase Signaling 12
    • Pancreatic function and diabetes 26

Eva Degerman

146 papers receiving 7.0k citations

Peers

Eva Degerman
Comparison fields: 5 of 120
  • Biochemistry 854
  • Physiology 1.8k
  • Molecular Biology 4.6k
  • Pharmacology 914
  • Physiology 240
Replace Manuel Vázquez‐Carrera with:
Manuel Vázquez‐Carrera Spain
Yasuo Ido United States
Tony J. Verbeuren France
Vincent C. Manganiello United States
Jennifer Rieusset France
Jérémie Boucher United States
Cem Z. Görgün United States
Joseph Satriano United States
Pamela T. Manning United States
Akira Tokumura Japan
Eva Degerman relative to Manuel Vázquez‐Carrera Spain Manuel Vázquez‐Carrera's profile →
Citations per field
00.5×1.5×2.0×
Manuel Vázquez‐Carrera · 1×
Citations per year

Countries citing papers authored by Eva Degerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Degerman Line = papers co-authored together Eva Degerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998398
2 1997366
3 1995214
4 2016196
5 2000175
6 1990157
7 2006145
8 1999143
9 1992139
10 1996137
11 2014135
12 2002124
13 2009121
14 1994120
15 1995119
16 1995118
17 1987116
18 1998111
19 1991109
20 2009106

About Eva Degerman

Eva Degerman is a scholar working on Molecular Biology, Surgery, Physiology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 149 papers that have together received 7.2k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (79 papers), Pancreatic function and diabetes (26 papers), Receptor Mechanisms and Signaling (24 papers), Metabolism, Diabetes, and Cancer (20 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Neuropeptides and Animal Physiology (12 papers) and Adipose Tissue and Metabolism (11 papers). The work is most often cited by research in Biochemistry (854 citations), Physiology (1.8k citations), Molecular Biology (4.6k citations), Pharmacology (914 citations) and Physiology (240 citations). Eva Degerman has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Vincent C. Manganiello, Per Belfrage, Vincent Manganiello, Cecilia Holm, Hans Törnqvist, Lena Stenson Holst, Olga Göransson, Tova Rahn Landström, Faiyaz Ahmad and Carolyn J. Smith. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Cellular Signalling, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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