Sacha A. Jensen

2.1k total citations
34 papers, 1.4k citations indexed

About

Sacha A. Jensen is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Sacha A. Jensen has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 17 papers in Cancer Research and 8 papers in Molecular Biology. Recurrent topics in Sacha A. Jensen's work include Connective tissue disorders research (21 papers), Protease and Inhibitor Mechanisms (16 papers) and Cell Adhesion Molecules Research (7 papers). Sacha A. Jensen is often cited by papers focused on Connective tissue disorders research (21 papers), Protease and Inhibitor Mechanisms (16 papers) and Cell Adhesion Molecules Research (7 papers). Sacha A. Jensen collaborates with scholars based in United Kingdom, Australia and Denmark. Sacha A. Jensen's co-authors include Anthony S. Weiss, Penny A. Handford, Bernadette Vrhovski, Ian B. Robertson, Christina Redfield, Dieter P. Reinhardt, Mark Gibson, Pat Whiteman, Sarah Iqbal and Lisa D. Muiznieks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sacha A. Jensen

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sacha A. Jensen United Kingdom 21 772 557 384 186 159 34 1.4k
Judith Ann Foster United States 27 1.1k 1.4× 778 1.4× 424 1.1× 368 2.0× 276 1.7× 56 2.0k
Kyonggeun Yoon United States 21 551 0.7× 1.3k 2.3× 171 0.4× 67 0.4× 151 0.9× 39 1.8k
Tomoya O. Akama Japan 25 408 0.5× 1.2k 2.1× 168 0.4× 118 0.6× 518 3.3× 65 2.0k
Yoshifumi Hirokawa Japan 18 466 0.6× 874 1.6× 171 0.4× 324 1.7× 84 0.5× 61 1.5k
Pat Whiteman United Kingdom 18 641 0.8× 550 1.0× 279 0.7× 267 1.4× 129 0.8× 25 1.3k
L.B. Sandberg United States 19 651 0.8× 278 0.5× 297 0.8× 177 1.0× 160 1.0× 38 1.2k
Elena Makareeva United States 23 1.3k 1.6× 721 1.3× 417 1.1× 63 0.3× 242 1.5× 40 2.0k
Vladimir Jurukovski United States 16 161 0.2× 759 1.4× 141 0.4× 168 0.9× 129 0.8× 23 1.5k
Stephan Niland Germany 22 252 0.3× 895 1.6× 396 1.0× 152 0.8× 415 2.6× 42 1.9k
Ruggero Tenni Italy 23 320 0.4× 388 0.7× 229 0.6× 48 0.3× 274 1.7× 59 1.3k

Countries citing papers authored by Sacha A. Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Sacha A. Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sacha A. Jensen. 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 Sacha A. Jensen. The network helps show where Sacha A. Jensen may publish in the future.

Co-authorship network of co-authors of Sacha A. Jensen

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

All Works

20 of 20 papers shown
1.
Meng, Yao, Sacha A. Jensen, Sean A. Burnap, et al.. (2022). An N-glycan on the C2 domain of JAGGED1 is important for Notch activation. Science Signaling. 15(755). eabo3507–eabo3507. 5 indexed citations
2.
Jensen, Sacha A., et al.. (2021). Biofabrication of spheroids fusion-based tumor models: computational simulation of glucose effects. Biofabrication. 13(3). 35010–35010. 11 indexed citations
3.
Jensen, Sacha A., Ondine Atwa, & Penny A. Handford. (2021). Assembly assay identifies a critical region of human fibrillin-1 required for 10–12 nm diameter microfibril biogenesis. PLoS ONE. 16(3). e0248532–e0248532. 5 indexed citations
4.
Pfeffer, Inga, Lennart Brewitz, T. Krojer, et al.. (2019). Aspartate/asparagine-β-hydroxylase crystal structures reveal an unexpected epidermal growth factor-like domain substrate disulfide pattern. Nature Communications. 10(1). 4910–4910. 42 indexed citations
5.
Robertson, Ian B., et al.. (2017). The N-Terminal Region of Fibrillin-1 Mediates a Bipartite Interaction with LTBP1. Structure. 25(8). 1208–1221.e5. 17 indexed citations
6.
Jensen, Sacha A., et al.. (2015). A microfibril assembly assay identifies different mechanisms of dominance underlying Marfan syndrome, stiff skin syndrome and acromelic dysplasias. Human Molecular Genetics. 24(15). 4454–4463. 23 indexed citations
7.
Yadin, David, Ian B. Robertson, Paul Evans, et al.. (2013). Structure of the Fibrillin-1 N-Terminal Domains Suggests that Heparan Sulfate Regulates the Early Stages of Microfibril Assembly. Structure. 21(10). 1743–1756. 39 indexed citations
8.
Robertson, Ian B., et al.. (2013). 1H, 13C and 15N resonance assignments for the fibrillin-1 EGF2-EGF3-hybrid1-cbEGF1 four-domain fragment. Biomolecular NMR Assignments. 8(1). 189–194. 2 indexed citations
9.
Yadin, David, Ian B. Robertson, Sacha A. Jensen, Penny A. Handford, & Christina Redfield. (2012). 1H, 13C and 15N assignments of the four N-terminal domains of human fibrillin-1. Biomolecular NMR Assignments. 8(1). 75–80. 5 indexed citations
10.
Schneider, Ralf, Sacha A. Jensen, Pat Whiteman, et al.. (2010). Biophysical Characterisation of Fibulin-5 Proteins Associated with Disease. Journal of Molecular Biology. 401(4). 605–617. 17 indexed citations
11.
Afzal, Shoaib, Sacha A. Jensen, Ben Vainer, et al.. (2009). MTHFR polymorphisms and 5-FU-based adjuvant chemotherapy in colorectal cancer. Annals of Oncology. 20(10). 1660–1666. 60 indexed citations
12.
Jensen, Sacha A., Sarah Iqbal, E.D. Lowe, Christina Redfield, & Penny A. Handford. (2009). Structure and Interdomain Interactions of a Hybrid Domain: A Disulphide-Rich Module of the Fibrillin/LTBP Superfamily of Matrix Proteins. Structure. 17(5). 759–768. 41 indexed citations
13.
Johnson, Steven, Pietro Roversi, Marian B. Wilkin, et al.. (2008). A conserved face of the Jagged/Serrate DSL domain is involved in Notch trans-activation and cis-inhibition. Nature Structural & Molecular Biology. 15(8). 849–857. 195 indexed citations
14.
Jensen, Sacha A., et al.. (2005). Ca2+-dependent Interface Formation in Fibrillin-1. Journal of Biological Chemistry. 280(14). 14076–14084. 30 indexed citations
15.
Jensen, Sacha A., et al.. (2004). Structural Consequences of Cysteine Substitutions C1977Y and C1977R in Calcium-binding Epidermal Growth Factor-like Domain 30 of Human Fibrillin-1. Journal of Biological Chemistry. 279(49). 51258–51265. 34 indexed citations
16.
Jensen, Sacha A., et al.. (2002). Rational design of tropoelastin peptide-based inhibitors of metalloproteinases. Archives of Biochemistry and Biophysics. 409(2). 335–340. 8 indexed citations
17.
Jensen, Sacha A., et al.. (2001). Hydrophobic Domains of Human Tropoelastin Interact in a Context-dependent Manner. Journal of Biological Chemistry. 276(48). 44575–44580. 72 indexed citations
18.
Jensen, Sacha A. & Kim Dalhoff. (2001). Cyclosporine therapeutic drug monitoring. Transplantation Proceedings. 33(6). 3003–3005. 7 indexed citations
19.
20.

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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