H. M. Vesterinen
- Small Animals top 1%
- Molecular Biology
- Physiology top 10%
- Pathology and Forensic Medicine top 5%
- Neurology top 10%
- Co-authors
- Malcolm MacleodEmily S. SenaKieren EganGillian L. CurrieTheodore C. HirstDavid W. HowellsSiddharthan ChandranAna Antonic‐Baker
- Topics
- Animal testing and alternatives (10 papers)Computational Drug Discovery Methods (5 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
H. M. Vesterinen
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Small Animals 300
- Molecular Biology 277
- Physiology 228
- Pathology and Forensic Medicine 222
- Neurology 185
Countries citing papers authored by H. M. Vesterinen
This map shows the geographic impact of H. M. Vesterinen'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 H. M. Vesterinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. M. Vesterinen more than expected).
Fields of papers citing papers by H. M. Vesterinen
This network shows the impact of papers produced by H. M. Vesterinen. 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 H. M. Vesterinen. The network helps show where H. M. Vesterinen may publish in the future.
Co-authorship network of co-authors of H. M. Vesterinen
This figure shows the co-authorship network connecting the top 25 collaborators of H. M. Vesterinen. A scholar is included among the top collaborators of H. M. Vesterinen 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 H. M. Vesterinen. H. M. Vesterinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 239 | |
| 3 | 46 | |
| 4 | 5 | |
| 5 | Similar effect of autologous and allogeneic cell therapy for ischaemic heart disease: systematic review and meta-analysis of large animal studies | 1 |
| 6 | 2 | |
| 7 | 78 | |
| 8 | 13 | |
| 9 | 31 | |
| 10 | 79 | |
| 11 | 41 | |
| 12 | Meta-analysis of data from animal studies: A practical guidebreakdown → | 374 |
| 13 | 99 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Developing our understanding of the pathogenesis of Alzheimer's disease using a systematically identified dataset of interventions tested in transgenic mouse models | 2 |
| 17 | 214 | |
| 18 | 61 | |
| 19 | 126 | |
| 20 | 6 |
About H. M. Vesterinen
H. M. Vesterinen is a scholar working on Small Animals, Genetics and Computational Theory and Mathematics, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal testing and alternatives (10 papers), Computational Drug Discovery Methods (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Small Animals (300 citations), Statistics, Probability and Uncertainty (184 citations) and Genetics (136 citations). H. M. Vesterinen has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Malcolm Macleod, Emily S. Sena, Kieren Egan, Gillian L. Currie, Theodore C. Hirst, David W. Howells, Siddharthan Chandran, Ana Antonic‐Baker, Marie Fallon and Lesley Colvin. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Circulation 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.