Sämi Schär
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Plant and animal studies 11
- Animal Behavior and Reproduction 5
- Genetics 10
- Insect and Arachnid Ecology and Behavior 10
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Roger Vila (8 shared papers)David R. Nash (4 shared papers)Stefanie Hayoz (9 shared papers)Emanuele Zucca (7 shared papers)Maria Cristina Pirosa (5 shared papers)Alden A. Moccia (4 shared papers)Gerard Talavera (4 shared papers)Stefan P. Cover (2 shared papers)
- Journals
- Hematological Oncology (3 papers)Blood Advances (2 papers)Zoologica Scripta (1 paper)Scientific Reports (1 paper)BMJ Open (1 paper)
- Partner nations
- SwitzerlandSpainDenmark
In The Last Decade
Sämi Schär
23 papers receiving 333 citations
Peers
Comparison fields: 5 of 47
- Ecological Modeling 42
- Pathology and Forensic Medicine 127
- Ecology, Evolution, Behavior and Systematics 118
- Genetics 115
- Insect Science 50
Countries citing papers authored by Sämi Schär
This map shows the geographic impact of Sämi Schär'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 Sämi Schär with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sämi Schär more than expected).
Fields of papers citing papers by Sämi Schär
This network shows the impact of papers produced by Sämi Schär. 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 Sämi Schär. The network helps show where Sämi Schär may publish in the future.
Co-authors
The 25 scholars most cited alongside Sämi Schär, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2018 | 37 | |
| 3 | 2011 | 34 | |
| 4 | 2019 | 28 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2013 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2019 | 4 |
About Sämi Schär
Sämi Schär is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 25 papers that have together received 342 indexed citations. Recurring topics across this work include Plant and animal studies (11 papers), Insect and Arachnid Ecology and Behavior (10 papers), Lymphoma Diagnosis and Treatment (7 papers), Animal Behavior and Reproduction (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Species Distribution and Climate Change (3 papers), Insect symbiosis and bacterial influences (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Ecological Modeling (42 citations), Pathology and Forensic Medicine (127 citations), Ecology, Evolution, Behavior and Systematics (118 citations), Genetics (115 citations) and Insect Science (50 citations). Sämi Schär has collaborated with scholars based in Switzerland, Spain and Denmark. Frequent co-authors include Roger Vila, David R. Nash, Stefanie Hayoz, Emanuele Zucca, Maria Cristina Pirosa, Alden A. Moccia, Gerard Talavera, Stefan P. Cover, Luciano Cascione and Luca Ceriani. Their work appears in journals such as Hematological Oncology, Blood Advances, Zoologica Scripta, Scientific Reports and BMJ Open.
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.