Seppo Ylä‐Herttuala
- Molecular Biology top 0.05%
- Oncology top 0.1%
- Surgery top 0.1%
- Immunology top 0.1%
- Genetics top 0.1%
- Co-authors
- Kari AlitaloWulf PalinskiJoseph L. WitztumMichael E. RosenfeldDaniel SteinbergTuomas T. RissanenJukka LuomaT E Carew
- Topics
- Virus-based gene therapy research (162 papers)Angiogenesis and VEGF in Cancer (154 papers)Atherosclerosis and Cardiovascular Diseases (93 papers)
- Cited by
- BiochemistryImmunologyOncology
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Seppo Ylä‐Herttuala
736 papers receiving 43.4k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 21.8k
- Oncology 9.9k
- Surgery 9.0k
- Immunology 8.3k
- Genetics 5.3k
Countries citing papers authored by Seppo Ylä‐Herttuala
This map shows the geographic impact of Seppo Ylä‐Herttuala'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 Seppo Ylä‐Herttuala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seppo Ylä‐Herttuala more than expected).
Fields of papers citing papers by Seppo Ylä‐Herttuala
This network shows the impact of papers produced by Seppo Ylä‐Herttuala. 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 Seppo Ylä‐Herttuala. The network helps show where Seppo Ylä‐Herttuala may publish in the future.
Co-authorship network of co-authors of Seppo Ylä‐Herttuala
This figure shows the co-authorship network connecting the top 25 collaborators of Seppo Ylä‐Herttuala. A scholar is included among the top collaborators of Seppo Ylä‐Herttuala 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 Seppo Ylä‐Herttuala. Seppo Ylä‐Herttuala 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | Evaluation of glucagon-like peptide-1 receptor expression in nondiabetic and diabetic atherosclerotic mice using PET tracer Ga-68-NODAGA-exendin-4 | 1 |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 25 | |
| 14 | 17 | |
| 15 | 9 | |
| 16 | 37 | |
| 17 | 137 | |
| 18 | 294 | |
| 19 | 470 | |
| 20 | Local adventitial VEGF gene transfer reduces neointima formation in rabbit carotid arteries | 1 |
About Seppo Ylä‐Herttuala
Seppo Ylä‐Herttuala is a scholar working on Biochemistry, Molecular Biology and Genetics, having authored 748 papers that have together received 44.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (162 papers), Angiogenesis and VEGF in Cancer (154 papers) and Atherosclerosis and Cardiovascular Diseases (93 papers). The work is most often cited by research in Biochemistry (4.3k citations), Immunology (8.3k citations) and Oncology (9.9k citations). Seppo Ylä‐Herttuala has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Kari Alitalo, Wulf Palinski, Joseph L. Witztum, Michael E. Rosenfeld, Daniel Steinberg, Tuomas T. Rissanen, Jukka Luoma, T E Carew, Sampath Parthasarathy and Mikko P. Turunen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.