Ulla Engström

4.9k total citations · 1 hit paper
48 papers, 4.1k citations indexed

About

Ulla Engström is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Ulla Engström has authored 48 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Ulla Engström's work include Alzheimer's disease research and treatments (15 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Ulla Engström is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers) and Glycosylation and Glycoproteins Research (8 papers). Ulla Engström collaborates with scholars based in Sweden, Belgium and United States. Ulla Engström's co-authors include Per Westermark, Gunilla T. Westermark, Carl‐Henrik Heldin, Kenneth H. Johnson, Christer Betsholtz, Serhiy Souchelnytskyi, Christer Wernstedt, Peter ten Dijke, Åsa Gustavsson and Kiyoshi Tamaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Ulla Engström

48 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Islet amyloid polypeptide: pinpointing amino acid residues linked to amyloid fibril formation.

1990 685 citations Per Westermark, Ulla Engström et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ulla Engström Sweden	33	2.9k	1.1k	690	656	613	48	4.1k
Stefano Fumagalli France	19	3.3k 1.2×	556 0.5×	519 0.8×	560 0.9×	368 0.6×	27	4.1k
Gretchen H. Stein United States	28	2.4k 0.8×	1.3k 1.2×	353 0.5×	1.1k 1.6×	307 0.5×	45	3.6k
Senén Vilaró Spain	39	2.0k 0.7×	380 0.3×	795 1.2×	739 1.1×	742 1.2×	108	4.3k
Toya Ohashi Japan	38	2.0k 0.7×	2.0k 1.8×	676 1.0×	372 0.6×	525 0.9×	198	4.6k
Lilli Petruzzelli United States	20	3.0k 1.1×	332 0.3×	433 0.6×	689 1.1×	901 1.5×	28	4.6k
Roman L. Bogorad United States	22	3.0k 1.0×	428 0.4×	537 0.8×	262 0.4×	457 0.7×	44	4.0k
Christopher L. Carpenter United States	27	3.7k 1.3×	668 0.6×	1.5k 2.1×	583 0.9×	287 0.5×	55	5.3k
Seiji Torii Japan	28	2.1k 0.8×	348 0.3×	1.2k 1.8×	321 0.5×	537 0.9×	56	3.4k
Reiner Lammers Germany	39	4.6k 1.6×	412 0.4×	981 1.4×	1.1k 1.7×	546 0.9×	75	6.1k
Maria Rozakis-Adcock Canada	22	2.2k 0.8×	234 0.2×	663 1.0×	605 0.9×	326 0.5×	23	3.0k

Countries citing papers authored by Ulla Engström

Since Specialization

Citations

This map shows the geographic impact of Ulla Engström'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 Ulla Engström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulla Engström more than expected).

Fields of papers citing papers by Ulla Engström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulla Engström. 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 Ulla Engström. The network helps show where Ulla Engström may publish in the future.

Co-authorship network of co-authors of Ulla Engström

This figure shows the co-authorship network connecting the top 25 collaborators of Ulla Engström. A scholar is included among the top collaborators of Ulla Engström 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 Ulla Engström. Ulla Engström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Carthy, Jon M., Ulla Engström, Carl‐Henrik Heldin, & Aristidis Moustakas. (2015). Commercially Available Preparations of Recombinant Wnt3a Contain Non‐Wnt Related Activities Which May Activate TGF‐β Signaling. Journal of Cellular Biochemistry. 117(4). 938–945. 8 indexed citations

Lennartsson, Johan, et al.. (2013). The Fer Tyrosine Kinase Is Important for Platelet-derived Growth Factor-BB-induced Signal Transducer and Activator of Transcription 3 (STAT3) Protein Phosphorylation, Colony Formation in Soft Agar, and Tumor Growth in Vivo. Journal of Biological Chemistry. 288(22). 15736–15744. 25 indexed citations

Lomnytska, Marta, Susanne Becker, Timo Gemoll, et al.. (2012). Impact of genomic stability on protein expression in endometrioid endometrial cancer. British Journal of Cancer. 106(7). 1297–1305. 31 indexed citations

Lennartsson, Johan, et al.. (2006). Alix Facilitates the Interaction between c-Cbl and Platelet-derived Growth Factor β-Receptor and Thereby Modulates Receptor Down-regulation. Journal of Biological Chemistry. 281(51). 39152–39158. 40 indexed citations

Persson, C., Tobias Sjöblom, Arnoud Groen, et al.. (2004). Preferential oxidation of the second phosphatase domain of receptor-like PTP-α revealed by an antibody against oxidized protein tyrosine phosphatases. Proceedings of the National Academy of Sciences. 101(7). 1886–1891. 107 indexed citations

Persson, Christer, Kai Kappert, Ulla Engström, Arne Östman, & Tobias Sjöblom. (2004). An antibody-based method for monitoring in vivo oxidation of protein tyrosine phosphatases. Methods. 35(1). 37–43. 40 indexed citations

Raschperger, Elisabeth, Ulla Engström, Ralf F. Pettersson, & Jonas Fuxe. (2003). CLMP, a Novel Member of the CTX Family and a New Component of Epithelial Tight Junctions. Journal of Biological Chemistry. 279(1). 796–804. 95 indexed citations

Kowanetz, Katarzyna, Iwona Szymkiewicz, Kaisa Haglund, et al.. (2003). Identification of a Novel Proline-Arginine Motif Involved in CIN85-dependent Clustering of Cbl and Down-regulation of Epidermal Growth Factor Receptors. Journal of Biological Chemistry. 278(41). 39735–39746. 108 indexed citations

Persson, C., Ulla Engström, Sherry L. Mowbray, & Arne Östman. (2002). Primary sequence determinants responsible for site‐selective dephosphorylation of the PDGF β‐receptor by the receptor‐like protein tyrosine phosphatase DEP‐1. FEBS Letters. 517(1-3). 27–31. 18 indexed citations

10.

Häggqvist, Bo, Jan Näslund, Knut Sletten, et al.. (1999). Medin: An integral fragment of aortic smooth muscle cell-produced lactadherin forms the most common human amyloid. Proceedings of the National Academy of Sciences. 96(15). 8669–8674. 158 indexed citations

11.

Izumi, Hiroto, Serhiy Souchelnytskyi, Susumu Itoh, et al.. (1998). The L45 loop in type I receptors for TGF‐β family members is a critical determinant in specifying Smad isoform activation. FEBS Letters. 434(1-2). 83–87. 359 indexed citations

12.

Ma, Zhi, et al.. (1997). Altered immunoreactivity of islet amyloid polypeptide (IAPP) may reflect major modifications of the IAPP molecule in amyloidogenesis. Diabetologia. 40(7). 793–801. 18 indexed citations

13.

Westermark, Per, Lars Eriksson, Ulla Engström, S Eneström, & Knut Sletten. (1997). Prolactin-derived amyloid in the aging pituitary gland.. PubMed. 150(1). 67–73. 32 indexed citations

14.

Stridsberg, Mats, et al.. (1995). Measurements of chromogranin A, chromogranin B (secretogranin I), chromogranin C (secretogranin II) and pancreastatin in plasma and urine from patients with carcinoid tumours and endocrine pancreatic tumours. Journal of Endocrinology. 144(1). 49–59. 225 indexed citations

15.

Hultman, Per, et al.. (1994). Fibrils from Synthetic Amyloid-Related Peptides Enhance Development of Experimental AA-Amyloidosis in Mice. Biochemical and Biophysical Research Communications. 199(1). 306–312. 66 indexed citations

16.

Engström, Ulla, et al.. (1992). Identification of a peptide antagonist for platelet-derived growth factor.. Journal of Biological Chemistry. 267(23). 16581–16587. 51 indexed citations

17.

Olofsson, Anders, Kohei Miyazono, Tetsuto Kanzaki, et al.. (1992). Transforming growth factor-beta 1, -beta 2, and -beta 3 secreted by a human glioblastoma cell line. Identification of small and different forms of large latent complexes.. Journal of Biological Chemistry. 267(27). 19482–19488. 162 indexed citations

18.

Betsholtz, Christer, Lars Christmanson, Ulla Engström, et al.. (1990). Structure of Cat Islet Amyloid Polypeptide and Identification of Amino Acid Residues of Potential Significance for Islet Amyloid Formation. Diabetes. 39(1). 118–122. 77 indexed citations

19.

Betsholtz, Christer, Fredrik Rorsman, Ulla Engström, et al.. (1989). Islet amyloid polypeptide (IAPP): cDNA cloning and identification of an amyloidogenic region associated with the species-specific occurrence of age-related diabetes mellitus. Experimental Cell Research. 183(2). 484–493. 109 indexed citations

20.

Betsholtz, Christer, et al.. (1989). Sequence divergence in a specific region of islet amyloid polypeptide (IAPP) explains differences in islet amyloid formation between species. FEBS Letters. 251(1-2). 261–264. 155 indexed citations

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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