Anke van Spronsen
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Behavioral Neuroscience top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Receptor Mechanisms and Signaling 1
-
- Blood groups and transfusion 1
- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Stéphane Krief (2 shared papers)A. Donny Strosberg (2 shared papers)Daniel Ricquier (1 shared paper)Fredrik Lönnqvist (1 shared paper)Peter Arner (1 shared paper)S. Raimbault (1 shared paper)Laurent J. Emorine (1 shared paper)Clara Nahmias (1 shared paper)
- Journals
- Human Gene Therapy (2 papers)European Journal of Biochemistry (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Experimental Hematology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- NetherlandsFranceJordan
In The Last Decade
Anke van Spronsen
7 papers receiving 598 citations
Anke van Spronsen's Hit Papers
Peers
Comparison fields: 5 of 69
- Physiology 367
- Behavioral Neuroscience 37
- Animal Science and Zoology 111
- Endocrine and Autonomic Systems 61
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Anke van Spronsen
This map shows the geographic impact of Anke van Spronsen'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 Anke van Spronsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke van Spronsen more than expected).
Fields of papers citing papers by Anke van Spronsen
This network shows the impact of papers produced by Anke van Spronsen. 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 Anke van Spronsen. The network helps show where Anke van Spronsen may publish in the future.
Co-authors
The 21 scholars most cited alongside Anke van Spronsen, 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 | Tissue distribution of beta 3-adrenergic receptor mRNA in man. Hit paper breakdown → | 1993 | 456 |
| 2 | 1993 | 93 | |
| 3 | 2002 | 32 | |
| 4 | 1997 | 29 | |
| 5 | 1992 | 8 | |
| 6 | 2003 | 4 | |
| 7 | 2004 | 2 |
About Anke van Spronsen
Anke van Spronsen is a scholar working on Molecular Biology, Hematology, Genetics, Animal Science and Zoology and Small Animals, having authored 7 papers that have together received 624 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Pharmacological Effects and Assays (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Immunotherapy and Immune Responses (1 paper), Blood groups and transfusion (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Physiology (367 citations), Behavioral Neuroscience (37 citations), Animal Science and Zoology (111 citations), Endocrine and Autonomic Systems (61 citations) and Cellular and Molecular Neuroscience (85 citations). Anke van Spronsen has collaborated with scholars based in Netherlands, France and Jordan. Frequent co-authors include Stéphane Krief, A. Donny Strosberg, Daniel Ricquier, Fredrik Lönnqvist, Peter Arner, S. Raimbault, Laurent J. Emorine, Clara Nahmias, A. Donny Strosberg and Mo Weijtens. Their work appears in journals such as Human Gene Therapy, European Journal of Biochemistry, Arteriosclerosis Thrombosis and Vascular Biology, Experimental Hematology and Journal of Clinical Investigation.
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.