Maria Söderlund‐Venermo
Impact in
- Infectious Diseases top 0.2%
- Parvovirus B19 Infection Studies
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies
Papers in
-
- Parvovirus B19 Infection Studies 82
- Viral gastroenteritis research and epidemiology 34
- Dermatology 30
- Dermatological and COVID-19 studies 27
- Co-authors
- Klaus HedmanTuomas JarttiOlli RuuskanenJianming QiuLea HedmanKalle KantolaTobias AllanderSusan F. Cotmore
- Journals
- Journal of Clinical Virology (10 papers)Emerging infectious diseases (10 papers)Viruses (9 papers)Journal of Clinical Microbiology (8 papers)Journal of Virology (8 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Maria Söderlund‐Venermo
144 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 4.2k
- Animal Science and Zoology 1.3k
- Dermatology 1.1k
- Epidemiology 2.7k
- Genetics 1.6k
Countries citing papers authored by Maria Söderlund‐Venermo
This map shows the geographic impact of Maria Söderlund‐Venermo'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 Maria Söderlund‐Venermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Söderlund‐Venermo more than expected).
Fields of papers citing papers by Maria Söderlund‐Venermo
This network shows the impact of papers produced by Maria Söderlund‐Venermo. 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 Maria Söderlund‐Venermo. The network helps show where Maria Söderlund‐Venermo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Söderlund‐Venermo, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 17 | |
| 19 | 2018 | 11 | |
| 20 | 2015 | 35 |
About Maria Söderlund‐Venermo
Maria Söderlund‐Venermo is a scholar working on Infectious Diseases, Dermatology, Epidemiology, Animal Science and Zoology and Genetics, having authored 148 papers that have together received 6.2k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (82 papers), Respiratory viral infections research (67 papers), Viral gastroenteritis research and epidemiology (34 papers), Virus-based gene therapy research (28 papers), Dermatological and COVID-19 studies (27 papers), Polyomavirus and related diseases (19 papers), Animal Virus Infections Studies (15 papers) and Tracheal and airway disorders (13 papers). The work is most often cited by research in Infectious Diseases (4.2k citations), Animal Science and Zoology (1.3k citations), Dermatology (1.1k citations), Epidemiology (2.7k citations) and Genetics (1.6k citations). Maria Söderlund‐Venermo has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Klaus Hedman, Tuomas Jartti, Olli Ruuskanen, Jianming Qiu, Lea Hedman, Kalle Kantola, Tobias Allander, Susan F. Cotmore, Neal S. Young and David J. Pintel. Their work appears in journals such as Journal of Clinical Virology, Emerging infectious diseases, Viruses, Journal of Clinical Microbiology and Journal of Virology.
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.