Stéphane Olland

1.3k total citations
16 papers, 761 citations indexed

About

Stéphane Olland is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stéphane Olland has authored 16 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stéphane Olland's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer therapeutics and mechanisms (4 papers) and T-cell and B-cell Immunology (3 papers). Stéphane Olland is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Cancer therapeutics and mechanisms (4 papers) and T-cell and B-cell Immunology (3 papers). Stéphane Olland collaborates with scholars based in United States, Netherlands and Morocco. Stéphane Olland's co-authors include Scott Classen, James M. Berger, James C. Wang, P Oudet, Rita Greco, Patrick Schultz, Lori Fitz, Karl Malakian, Robert E. W. Hancock and Scott Wolfrom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Stéphane Olland

16 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Olland United States 11 524 175 169 137 85 16 761
Marla Weetall United States 18 795 1.5× 164 0.9× 154 0.9× 142 1.0× 84 1.0× 70 1.2k
Flora Huang United States 17 695 1.3× 209 1.2× 275 1.6× 572 4.2× 47 0.6× 32 1.0k
Luke H. Stockwin United States 18 585 1.1× 324 1.9× 183 1.1× 28 0.2× 66 0.8× 25 1.1k
Gregg Timony United States 11 545 1.0× 73 0.4× 142 0.8× 22 0.2× 107 1.3× 24 882
Murray McKinnon United States 17 469 0.9× 117 0.7× 284 1.7× 85 0.6× 177 2.1× 35 902
Philippe Genne France 15 368 0.7× 262 1.5× 66 0.4× 54 0.4× 37 0.4× 30 632
Naijie Jing United States 21 1.1k 2.1× 521 3.0× 196 1.2× 18 0.1× 58 0.7× 38 1.6k
Zhaowen Luo United States 14 462 0.9× 329 1.9× 331 2.0× 94 0.7× 34 0.4× 15 816
Masafumi Kudoh Japan 16 654 1.2× 260 1.5× 119 0.7× 21 0.2× 107 1.3× 28 1.1k
Daniel Scheibe United States 5 455 0.9× 167 1.0× 96 0.6× 60 0.4× 92 1.1× 5 847

Countries citing papers authored by Stéphane Olland

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Olland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Olland

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

All Works

16 of 16 papers shown
1.
Müller, Mischa, Kenneth Saunders, Christopher Grace, et al.. (2012). Improving the pharmacokinetic properties of biologics by fusion to an anti-HSA shark VNAR domain. mAbs. 4(6). 673–685. 73 indexed citations
2.
Vugmeyster, Yulia, Alison Joyce, Stephen W. Raso, et al.. (2012). Pharmacokinetic, Biodistribution, and Biophysical Profiles of TNF Nanobodies Conjugated to Linear or Branched Poly(ethylene glycol). Bioconjugate Chemistry. 23(7). 1452–1462. 52 indexed citations
3.
Nickerson‐Nutter, Cheryl, Lioudmila Tchistiakova, Nilufer P. Seth, et al.. (2011). Distinct in vitro binding properties of the anti-CD20 small modular immunopharmaceutical 2LM20-4 result in profound and sustained in vivo potency in cynomolgus monkeys. Lara D. Veeken. 50(6). 1033–1044. 6 indexed citations
4.
Sousa, Eric, Stéphane Olland, Heather H. Shih, et al.. (2011). Primary sequence determination of a monoclonal antibody against α-synuclein using a novel mass spectrometry-based approach. International Journal of Mass Spectrometry. 312. 61–69. 7 indexed citations
5.
Cao, Wei, Valérie Calabro, Grace Yan, et al.. (2009). Oligomerization is required for the activity of recombinant soluble LOX‐1. FEBS Journal. 276(17). 4909–4920. 26 indexed citations
6.
Kasaian, Marion T., Xiangyang Tan, Lori Fitz, et al.. (2008). Interleukin-13 Neutralization by Two Distinct Receptor Blocking Mechanisms Reduces Immunoglobulin E Responses and Lung Inflammation in Cynomolgus Monkeys. Journal of Pharmacology and Experimental Therapeutics. 325(3). 882–892. 39 indexed citations
7.
Bubier, Jason A., Thomas J. Sproule, Bonnie Lyons, et al.. (2007). Treatment of BXSB‐Yaa Mice with IL‐21R‐Fc Fusion Protein Minimally Attenuates Systemic Lupus Erythematosus. Annals of the New York Academy of Sciences. 1110(1). 590–601. 71 indexed citations
8.
Hegen, Martin, Spencer C. Liang, Jing Li, et al.. (2007). 53 IL-22, a TH17 and TH1 Cytokine, Regulates Local Tissue Inflammation in the Context of Autoimmune Disease. Cytokine. 39(1). 15–15. 1 indexed citations
9.
Czerwiński, Robert, Ann Aulabaugh, Rita Greco, et al.. (2005). Characterization of Protein Kinase C θ Activation Loop Autophosphorylation and the Kinase Domain Catalytic Mechanism. Biochemistry. 44(28). 9563–9573. 25 indexed citations
10.
Liu, Cuihua, et al.. (2004). Elongation of Synthetic RNA Templates by Hepatitis C Virus NS5B Polymerase. Journal of Biological Chemistry. 279(11). 10738–10746. 3 indexed citations
11.
Xu, Zhang‐Bao, Divya Chaudhary, Stéphane Olland, et al.. (2004). Catalytic Domain Crystal Structure of Protein Kinase C-θ (PKCθ). Journal of Biological Chemistry. 279(48). 50401–50409. 122 indexed citations
12.
Classen, Scott, Stéphane Olland, & James M. Berger. (2003). Structure of the topoisomerase II ATPase region and its mechanism of inhibition by the chemotherapeutic agent ICRF-187. Proceedings of the National Academy of Sciences. 100(19). 10629–10634. 218 indexed citations
13.
Amin, Anthony A., Stéphane Olland, Mark Orlowski, et al.. (2003). Identification of constrained peptides that bind to and preferentially inhibit the activity of the hepatitis C viral RNA-dependent RNA polymerase. Virology. 313(1). 158–169. 9 indexed citations
14.
Olland, Stéphane & James C. Wang. (1999). Catalysis of ATP Hydrolysis by Two NH2-terminal Fragments of Yeast DNA Topoisomerase II. Journal of Biological Chemistry. 274(31). 21688–21694. 37 indexed citations
15.
Schultz, Patrick, Stéphane Olland, P Oudet, & Robert E. W. Hancock. (1996). Structure and conformational changes of DNA topoisomerase II visualized by electron microscopy.. Proceedings of the National Academy of Sciences. 93(12). 5936–5940. 45 indexed citations
16.
Lebeau, Luc, Stéphane Olland, P Oudet, & Charles Mioskowski. (1992). Rational design and synthesis of phospholipids for the two-dimensional crystallization of DNA gyrase, a key element in chromosome organization. Chemistry and Physics of Lipids. 62(2). 93–103. 27 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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