Sandra Söderholm
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
-
- interferon and immune responses 9
- Co-authors
- Tuula A. Nyman (11 shared papers)Sampsa Matikainen (10 shared papers)Dirk Bumann (4 shared papers)Markus Damm (1 shared paper)C. Oliver Kappe (1 shared paper)Denis E. Kainov (8 shared papers)Tiina Öhman (5 shared papers)Christian Schleberger (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (2 papers)Antiviral Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Diversity (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)
- Partner nations
- FinlandSwedenSwitzerland
In The Last Decade
Sandra Söderholm
22 papers receiving 578 citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 102
- Infectious Diseases 142
- Immunology 145
- Endocrinology 27
- Microbiology 30
Countries citing papers authored by Sandra Söderholm
This map shows the geographic impact of Sandra Söderholm'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 Sandra Söderholm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Söderholm more than expected).
Fields of papers citing papers by Sandra Söderholm
This network shows the impact of papers produced by Sandra Söderholm. 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 Sandra Söderholm. The network helps show where Sandra Söderholm may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Söderholm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2021 | 72 | |
| 3 | 2016 | 57 | |
| 4 | 2010 | 51 | |
| 5 | 2014 | 47 | |
| 6 | 2018 | 43 | |
| 7 | 2014 | 39 | |
| 8 | 2016 | 33 | |
| 9 | 2016 | 27 | |
| 10 | 2021 | 22 | |
| 11 | 2015 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2015 | 15 | |
| 14 | 2022 | 12 | |
| 15 | 2014 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2014 | 9 | |
| 18 | 2023 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2022 | 3 |
About Sandra Söderholm
Sandra Söderholm is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Genetics, having authored 22 papers that have together received 585 indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Influenza Virus Research Studies (8 papers), Bacterial Genetics and Biotechnology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral Infections and Immunology Research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (102 citations), Infectious Diseases (142 citations), Immunology (145 citations), Endocrinology (27 citations) and Microbiology (30 citations). Sandra Söderholm has collaborated with scholars based in Finland, Sweden and Switzerland. Frequent co-authors include Tuula A. Nyman, Sampsa Matikainen, Dirk Bumann, Markus Damm, C. Oliver Kappe, Denis E. Kainov, Tiina Öhman, Christian Schleberger, Xavier Saelens and Tero Aittokallio. Their work appears in journals such as Molecular & Cellular Proteomics, Antiviral Research, Proceedings of the National Academy of Sciences, Molecular Diversity and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.
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.