Kenneth Lundström
Impact in
- Physiology top 0.5%
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 28
- Viral gastroenteritis research and epidemiology 25
- Viral Infections and Outbreaks Research 20
- Genetics 64
- Virus-based gene therapy research 50
- Co-authors
- Ismo UlmanenMarkus U. EhrengruberCarola TilgmannGary BuellAnnmarie SurprenantJukka TenhunenNisse KalkkinenChristophe Schweitzer
- Journals
- Viruses (14 papers)Vaccines (6 papers)European Journal of Biochemistry (5 papers)Biomedicines (5 papers)British Journal of Pharmacology (4 papers)
- Partner nations
- SwitzerlandUnited StatesIndia
In The Last Decade
Kenneth Lundström
208 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Physiology 328
- Cellular and Molecular Neuroscience 1.3k
- Infectious Diseases 1.1k
- Molecular Biology 3.8k
- Genetics 1.4k
Countries citing papers authored by Kenneth Lundström
This map shows the geographic impact of Kenneth Lundström'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 Kenneth Lundström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Lundström more than expected).
Fields of papers citing papers by Kenneth Lundström
This network shows the impact of papers produced by Kenneth Lundström. 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 Kenneth Lundström. The network helps show where Kenneth Lundström may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Lundström, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | Viral Vectors in Gene Therapy: Where Do We Stand in 2023? Hit paper breakdown → | 2023 | 105 |
| 9 | 2023 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 25 | |
| 15 | 2007 | 55 | |
| 16 | 2003 | 61 | |
| 17 | 2003 | 17 | |
| 18 | 2003 | 57 | |
| 19 | 2000 | 58 | |
| 20 | 1997 | 3 |
About Kenneth Lundström
Kenneth Lundström is a scholar working on Infectious Diseases, Genetics, Virology, Animal Science and Zoology and Immunology, having authored 210 papers that have together received 6.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (50 papers), Mosquito-borne diseases and control (45 papers), RNA Interference and Gene Delivery (31 papers), SARS-CoV-2 and COVID-19 Research (28 papers), Viral gastroenteritis research and epidemiology (25 papers), Receptor Mechanisms and Signaling (23 papers), Animal Virus Infections Studies (20 papers) and Viral Infections and Outbreaks Research (20 papers). The work is most often cited by research in Physiology (328 citations), Cellular and Molecular Neuroscience (1.3k citations), Infectious Diseases (1.1k citations), Molecular Biology (3.8k citations) and Genetics (1.4k citations). Kenneth Lundström has collaborated with scholars based in Switzerland, United States and India. Frequent co-authors include Ismo Ulmanen, Markus U. Ehrengruber, Carola Tilgmann, Gary Buell, Annmarie Surprenant, Jukka Tenhunen, Nisse Kalkkinen, Christophe Schweitzer, J. Taskinen and Teni Boulikas. Their work appears in journals such as Viruses, Vaccines, European Journal of Biochemistry, Biomedicines and British Journal of Pharmacology.
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.