Ian Sylvester

957 total citations
10 papers, 796 citations indexed

About

Ian Sylvester is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ian Sylvester has authored 10 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ian Sylvester's work include Prion Diseases and Protein Misfolding (3 papers), Pluripotent Stem Cells Research (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Ian Sylvester is often cited by papers focused on Prion Diseases and Protein Misfolding (3 papers), Pluripotent Stem Cells Research (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Ian Sylvester collaborates with scholars based in United Kingdom, United States and Germany. Ian Sylvester's co-authors include Hans R. Schöler, Teresa J. T. Pinheiro, Jurate Kazlauskaite, Catherine Vénien‐Bryan, Narinder Sanghera, Guy Fuhrmann, Aria Baniahmad, Kathy J. Jackson, John A. Rankin and Susan M. Smith and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ian Sylvester

10 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Sylvester United Kingdom 8 642 119 108 88 69 10 796
Yoshiyuki Sakaki Japan 11 632 1.0× 159 1.3× 118 1.1× 44 0.5× 51 0.7× 15 805
Alexey V. Deykin Russia 15 376 0.6× 141 1.2× 77 0.7× 78 0.9× 52 0.8× 61 668
Bruno Passet France 14 494 0.8× 133 1.1× 99 0.9× 33 0.4× 83 1.2× 45 666
Galina D. Kutuzova United States 10 252 0.4× 81 0.7× 159 1.5× 57 0.6× 47 0.7× 17 597
Keiichi Saeki Japan 20 805 1.3× 117 1.0× 339 3.1× 129 1.5× 78 1.1× 49 1.0k
Weitao Yan China 15 524 0.8× 64 0.5× 28 0.3× 48 0.5× 121 1.8× 30 819
Neha Patel United States 15 449 0.7× 26 0.2× 46 0.4× 65 0.7× 166 2.4× 19 897
Yasuo Shikamoto Japan 9 264 0.4× 151 1.3× 20 0.2× 131 1.5× 36 0.5× 17 593
Kajsa Holmgren Peterson Sweden 11 355 0.6× 86 0.7× 55 0.5× 108 1.2× 57 0.8× 15 693
Yukihiko Hirai Japan 21 658 1.0× 555 4.7× 112 1.0× 232 2.6× 36 0.5× 40 1.1k

Countries citing papers authored by Ian Sylvester

Since Specialization
Citations

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

Fields of papers citing papers by Ian Sylvester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Sylvester

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

All Works

10 of 10 papers shown
1.
Novitskaya, Vera, Natallia Makarava, Ian Sylvester, Igor Bronstein, & Ilia V. Baskakov. (2007). Amyloid fibrils of mammalian prion protein induce axonal degeneration in NTERA2‐derived terminally differentiated neurons. Journal of Neurochemistry. 102(2). 398–407. 20 indexed citations
4.
Rhie, Alexandre, Louise Kirby, Petra Disterer, et al.. (2003). Characterization of 2′-Fluoro-RNA Aptamers That Bind Preferentially to Disease-associated Conformations of Prion Protein and Inhibit Conversion. Journal of Biological Chemistry. 278(41). 39697–39705. 141 indexed citations
5.
Kazlauskaite, Jurate, Narinder Sanghera, Ian Sylvester, Catherine Vénien‐Bryan, & Teresa J. T. Pinheiro. (2003). Structural Changes of the Prion Protein in Lipid Membranes Leading to Aggregation and Fibrillization. Biochemistry. 42(11). 3295–3304. 135 indexed citations
6.
Fuhrmann, Guy, Arthur Chung, Kathy J. Jackson, et al.. (2001). Mouse Germline Restriction of Oct4 Expression by Germ Cell Nuclear Factor. Developmental Cell. 1(3). 377–387. 207 indexed citations
7.
Fuhrmann, Gregor, Ian Sylvester, & Hans R. Schöler. (1999). Repression of Oct-4 during embryonic cell differentiation correlates with the appearance of TRIF, a transiently induced DNA-binding factor.. PubMed. 45(5). 717–24. 19 indexed citations
8.
Minucci, Saverio, Young Il Yeom, Anup Dey, et al.. (1996). Retinoic acid-mediated down-regulation of Oct3/4 coincides with the loss of promoter occupancy in vivo.. The EMBO Journal. 15(4). 888–899. 83 indexed citations
9.
Sylvester, Ian & Hans R. Schöler. (1994). Regulation of theOct-4gene by nuclear receptors. Nucleic Acids Research. 22(6). 901–911. 71 indexed citations
10.
Rankin, John A., Ian Sylvester, Susan M. Smith, Teizo Yoshimura, & Edward J. Leonard. (1990). Macrophages cultured in vitro release leukotriene B4 and neutrophil attractant/activation protein (interleukin 8) sequentially in response to stimulation with lipopolysaccharide and zymosan.. Journal of Clinical Investigation. 86(5). 1556–1564. 115 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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