Eva Landgren

1.4k citations
19 papers · 1.0k · h-index 16

Impact in

Papers in

Eva Landgren

19 papers receiving 981 citations

Peers

Eva Landgren
Comparison fields: 5 of 82
  • Immunology and Allergy 131
  • Endocrinology, Diabetes and Metabolism 200
  • Cell Biology 183
  • Molecular Biology 528
  • Cancer Research 87
Replace Raffaele Tecce with:
Raffaele Tecce Italy
Katsumi Yamamori Japan
A. Olsen United States
Elizabeth A. Waterman United Kingdom
Lionel Rémy France
Susana Garcı́a-Silva Spain
Xiang‐Xi Xu United States
Craig S. Nowell United Kingdom
Carl-Henrik Heldin Sweden
Véronique Lefebvre Belgium
Eva Landgren relative to Raffaele Tecce Italy Raffaele Tecce's profile →
Citations per field
00.5×1.5×2.5×
Raffaele Tecce · 1×
Citations per year

Countries citing papers authored by Eva Landgren

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Eva Landgren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Landgren Line = papers co-authored together Eva Landgren links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004153
2 1998139
3
Fibroblast growth factor receptor 1-induced differentiation of endothelial cell line established from tsA58 large T transgenic mice.
199691
4 200189
5 199988
6
Fibroblast growth factor receptor-1 regulation of Src family kinases.
199580
7 200055
8 201050
9
Molecular interactions of the Src homology 2 domain protein Shb with phosphotyrosine residues, tyrosine kinase receptors and Src homology 3 domain proteins.
199549
10 199845
11 200038
12 199229
13 200225
14 201422
15 200515
16 199615
17 198315
18 20165
19
Fibroblast growth factor- and vascular endothelial growth factor-induced signal transduction in angiogenesis
19971

About Eva Landgren

Eva Landgren is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology, Immunology and Allergy and Immunology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), Kruppel-like factors research (3 papers), Adrenal Hormones and Disorders (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (131 citations), Endocrinology, Diabetes and Metabolism (200 citations), Cell Biology (183 citations), Molecular Biology (528 citations) and Cancer Research (87 citations). Eva Landgren has collaborated with scholars based in Sweden, Norway and Finland. Frequent co-authors include Lena Claesson‐Welsh, Yihai Cao, Petter Schiller, Peter Klint, Peter Blume‐Jensen, Shigeru Kanda, Olle Kämpe, Fredrik Rorsman, Magnus Ljungström and Helena Elding Larsson. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Oncogene, British Journal of Dermatology and Experimental Cell Research.

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.

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