Eva Landgren
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cell Biology top 10%
- Genetics top 10%
- Immunology and Allergy top 5%
- Co-authors
- Lena Claesson‐WelshPetter SchillerYihai CaoPeter KlintPeter Blume‐JensenShigeru KandaFredrik RorsmanOlle Kämpe
- Topics
- Fibroblast Growth Factor Research (7 papers)Adrenal Hormones and Disorders (3 papers)Angiogenesis and VEGF in Cancer (3 papers)
In The Last Decade
Eva Landgren
18 papers receiving 956 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 548
- Endocrinology, Diabetes and Metabolism 214
- Cell Biology 192
- Genetics 182
- Immunology and Allergy 135
Countries citing papers authored by Eva Landgren
This map shows the geographic impact of Eva Landgren'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 Eva Landgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Landgren more than expected).
Fields of papers citing papers by Eva Landgren
This network shows the impact of papers produced by Eva Landgren. 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 Eva Landgren. The network helps show where Eva Landgren may publish in the future.
Co-authorship network of co-authors of Eva Landgren
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Landgren. A scholar is included among the top collaborators of Eva Landgren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Landgren. Eva Landgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 49 | |
| 3 | 15 | |
| 4 | 153 | |
| 5 | 25 | |
| 6 | 89 | |
| 7 | 55 | |
| 8 | 38 | |
| 9 | 88 | |
| 10 | 45 | |
| 11 | 139 | |
| 12 | Fibroblast growth factor- and vascular endothelial growth factor-induced signal transduction in angiogenesis | 1 |
| 13 | Fibroblast growth factor receptor 1-induced differentiation of endothelial cell line established from tsA58 large T transgenic mice. | 91 |
| 14 | 15 | |
| 15 | Fibroblast growth factor receptor-1 regulation of Src family kinases. | 80 |
| 16 | Molecular interactions of the Src homology 2 domain protein Shb with phosphotyrosine residues, tyrosine kinase receptors and Src homology 3 domain proteins. | 49 |
| 17 | 29 | |
| 18 | 15 |
About Eva Landgren
Eva Landgren is a scholar working on Immunology and Allergy, Dermatology and Endocrinology, having authored 18 papers that have together received 980 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), Adrenal Hormones and Disorders (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Immunology and Allergy (135 citations), Endocrinology, Diabetes and Metabolism (214 citations) and Cell Biology (192 citations). Eva Landgren has collaborated with scholars based in Sweden, Finland and Italy. Frequent co-authors include Lena Claesson‐Welsh, Petter Schiller, Yihai Cao, Peter Klint, Peter Blume‐Jensen, Shigeru Kanda, Fredrik Rorsman, Olle Kämpe, Magnus Ljungström and Helena Elding Larsson. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Oncogene.
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.