S Teglund
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 5
- Cytokine Signaling Pathways and Interactions 2
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- Genomics and Chromatin Dynamics 2
- Hedgehog Signaling Pathway Studies 2
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Co-authors
- James N. Ihle (3 shared papers)Dimitrios J. Stravopodis (1 shared paper)Junichi Kitazawa (1 shared paper)Demin Wang (1 shared paper)Sten Hammarström (3 shared papers)Vladimir Baranov (1 shared paper)Marie‐Louise Hammarström (1 shared paper)Carina Lundqvist (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)International Journal of Oncology (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)The Journal of Immunology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- SwedenUnited StatesEstonia
In The Last Decade
S Teglund
8 papers receiving 423 citations
Peers
Comparison fields: 5 of 63
- Immunology 200
- Oncology 232
- Periodontics 35
- Cancer Research 70
- Pharmacology 42
Countries citing papers authored by S Teglund
This map shows the geographic impact of S Teglund'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 S Teglund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Teglund more than expected).
Fields of papers citing papers by S Teglund
This network shows the impact of papers produced by S Teglund. 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 S Teglund. The network helps show where S Teglund may publish in the future.
Co-authors
The 25 scholars most cited alongside S Teglund, 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 | 1996 | 238 | |
| 2 | 1994 | 116 | |
| 3 | 2013 | 22 | |
| 4 | 2007 | 21 | |
| 5 | 1995 | 20 | |
| 6 | The roles of Jaks and Stats in cytokine signaling. | 1998 | 13 |
| 7 | 1999 | 2 | |
| 8 | 1997 | 1 |
About S Teglund
S Teglund is a scholar working on Oncology, Molecular Biology, Immunology, Pharmacology and Dermatology, having authored 8 papers that have together received 433 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Hedgehog Signaling Pathway Studies (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper), Salivary Gland Disorders and Functions (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Immunology (200 citations), Oncology (232 citations), Periodontics (35 citations), Cancer Research (70 citations) and Pharmacology (42 citations). S Teglund has collaborated with scholars based in Sweden, United States and Estonia. Frequent co-authors include James N. Ihle, Dimitrios J. Stravopodis, Junichi Kitazawa, Demin Wang, Sten Hammarström, Vladimir Baranov, Marie‐Louise Hammarström, Carina Lundqvist, Guangqian Zhou and Rune Toftgård. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Oncology, Cold Spring Harbor Symposia on Quantitative Biology, The Journal of Immunology and Molecular and Cellular Biology.
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.