Monica Andersson
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Marie A. BogoyevitchPeter E. GlennonAngela ClerkGöte JohanssonPeter H. SugdenAntigone LazouPeter J. ParkerP H Sugden
- Topics
- Protein Kinase Regulation and GTPase Signaling (3 papers)Virus-based gene therapy research (2 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)
- Journals
- Journal of Biological ChemistryBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Monica Andersson
12 papers receiving 824 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 632
- Cardiology and Cardiovascular Medicine 300
- Physiology 133
- Cellular and Molecular Neuroscience 77
- Endocrinology, Diabetes and Metabolism 71
Countries citing papers authored by Monica Andersson
This map shows the geographic impact of Monica Andersson'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 Monica Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Andersson more than expected).
Fields of papers citing papers by Monica Andersson
This network shows the impact of papers produced by Monica Andersson. 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 Monica Andersson. The network helps show where Monica Andersson may publish in the future.
Co-authorship network of co-authors of Monica Andersson
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Andersson. A scholar is included among the top collaborators of Monica Andersson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monica Andersson. Monica Andersson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 172 | |
| 6 | 154 | |
| 7 | 334 | |
| 8 | 3 | |
| 9 | 33 | |
| 10 | 57 | |
| 11 | 36 | |
| 12 | 32 |
About Monica Andersson
Monica Andersson is a scholar working on Filtration and Separation, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 852 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Virus-based gene therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Filtration and Separation (65 citations), Cardiology and Cardiovascular Medicine (300 citations) and Molecular Biology (632 citations). Monica Andersson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Marie A. Bogoyevitch, Peter E. Glennon, Angela Clerk, Göte Johansson, Peter H. Sugden, Antigone Lazou, Peter J. Parker, P H Sugden, C. J. Marshall and Albert J. Ketterman. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.