Sylvia Nagl

1.4k total citations
34 papers, 981 citations indexed

About

Sylvia Nagl is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Sylvia Nagl has authored 34 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology. Recurrent topics in Sylvia Nagl's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Bioinformatics and Genomic Networks (5 papers) and Simulation Techniques and Applications (5 papers). Sylvia Nagl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Bioinformatics and Genomic Networks (5 papers) and Simulation Techniques and Applications (5 papers). Sylvia Nagl collaborates with scholars based in United Kingdom, Germany and Finland. Sylvia Nagl's co-authors include Gert‐Jan B. van Ommen, Ingrid Stec, Johan T. den Dunnen, Herbert Moessler, Mathias Mericskay, J. Victor Small, D. Paulin, Amos Folarin, Moritz A. Konerding and Manish P. Patel and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Sylvia Nagl

34 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Nagl United Kingdom 15 451 166 151 106 102 34 981
Hiroshi Fuji Japan 22 331 0.7× 506 3.0× 394 2.6× 52 0.5× 191 1.9× 81 1.5k
Luc Legrès France 17 460 1.0× 458 2.8× 98 0.6× 76 0.7× 232 2.3× 32 1.3k
Hub F. J. Dullens Netherlands 19 326 0.7× 437 2.6× 226 1.5× 87 0.8× 298 2.9× 71 1.1k
Jean Deschênes Canada 19 382 0.8× 219 1.3× 125 0.8× 156 1.5× 506 5.0× 69 1.7k
Richard Vines United States 12 719 1.6× 144 0.9× 105 0.7× 76 0.7× 178 1.7× 25 1.7k
Elaine Del Nery France 23 1.2k 2.7× 222 1.3× 94 0.6× 94 0.9× 312 3.1× 47 2.2k
Marcus Mareel Belgium 24 890 2.0× 210 1.3× 89 0.6× 100 0.9× 590 5.8× 89 1.7k
Andrew P. Seddon United States 16 670 1.5× 98 0.6× 38 0.3× 85 0.8× 97 1.0× 32 1.2k
Harpreet Kaur India 24 1.0k 2.2× 194 1.2× 153 1.0× 52 0.5× 199 2.0× 118 1.6k

Countries citing papers authored by Sylvia Nagl

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Nagl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Nagl

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Nagl. A scholar is included among the top collaborators of Sylvia Nagl 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 Sylvia Nagl. Sylvia Nagl 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.
Nagl, Sylvia, Matthias Haas, Godehard Lahmer, et al.. (2016). Cell-to-cell distances between tumor-infiltrating inflammatory cells have the potential to distinguish functionally active from suppressed inflammatory cells. OncoImmunology. 5(5). e1127494–e1127494. 25 indexed citations
2.
Folarin, Amos, Moritz A. Konerding, J. Timonen, Sylvia Nagl, & RB Pedley. (2010). Three-dimensional analysis of tumour vascular corrosion casts using stereoimaging and micro-computed tomography. Microvascular Research. 80(1). 89–98. 60 indexed citations
3.
Patel, Manish P. & Sylvia Nagl. (2010). The Role of Model Integration in Complex Systems Modelling. 13 indexed citations
4.
Chen, Chih‐Chun, Sylvia Nagl, & Christopher D. Clack. (2008). Multi-level behaviours in agent-based simulation: colonic crypt cell populations. UCL Discovery (University College London). 1 indexed citations
5.
Bolchini, Davide, Anthony Finkelstein, Vito Perrone, & Sylvia Nagl. (2008). Better bioinformatics through usability analysis. Bioinformatics. 25(3). 406–412. 49 indexed citations
6.
Nagl, Sylvia, et al.. (2007). A calculus for multi-level emergent behaviours in component-based systems and simulations. UCL Discovery (University College London). 5 indexed citations
7.
Chen, Chih‐Chun, Sylvia Nagl, & Christopher D. Clack. (2007). Specifying, detecting and analysing emergent behaviours in multi-level agent-based simulations. Summer Computer Simulation Conference. 969–976. 19 indexed citations
8.
Chester, Kerry, R. Barbara Pedley, Berend Tolner, et al.. (2004). Engineering Antibodies for Clinical Applications in Cancer. Tumor Biology. 25(1-2). 91–98. 46 indexed citations
9.
Kumar, Sanjeev, Sylvia Nagl, Jatinderpal Kalsi, et al.. (2004). Beta-2-glycoprotein specificity of human anti-phospholipid antibody resides on the light chain: a novel mechanism for acquisition of cross-reactivity by an autoantibody. Molecular Immunology. 42(1). 39–48. 2 indexed citations
10.
11.
Kumar, Sanjeev, Sylvia Nagl, C T Ravirajan, et al.. (2003). Anti-cardiolipin/β-2 glycoprotein activities co-exist on human anti-DNA antibody light chains. Molecular Immunology. 40(8). 517–530. 4 indexed citations
12.
Mason, Lesley, Sylvia Nagl, Ian Giles, et al.. (2003). Somatic mutations to arginine residues affect the binding of human monoclonal antibodies to DNA, histones, SmD and Ro antigen. Molecular Immunology. 40(11). 745–758. 14 indexed citations
13.
Talmud, Philippa J., Steve Martin, George Steiner, et al.. (2003). Progression of Atherosclerosis Is Associated With Variation in the α 1 -Antitrypsin Gene. Arteriosclerosis Thrombosis and Vascular Biology. 23(4). 644–649. 58 indexed citations
14.
Ma, Yun, Mark Thomas, Manabu Okamoto, et al.. (2002). Key Residues of a Major Cytochrome P4502D6 Epitope Are Located on the Surface of the Molecule. The Journal of Immunology. 169(1). 277–285. 64 indexed citations
15.
Nagl, Sylvia. (2002). Computational Function Assignment for Potential Drug Targets: from Single Genes to Cellular Systems. Current Drug Targets. 3(5). 387–399. 6 indexed citations
16.
McAlister, M., Sam M. Rowe, Sylvia Nagl, et al.. (2001). Macrophage migration inhibitory factor of the parasitic nematode Trichinella spiralis. Biochemical Journal. 357(2). 373–373. 66 indexed citations
17.
Nagl, Sylvia. (2000). Protein Evolution as a Parallel-distributed Process: A Novel Approach to Evolutionary Modeling and Protein Design.. Complex Systems. 12. 2 indexed citations
18.
Stec, Ingrid, Sylvia Nagl, Gert‐Jan B. van Ommen, & Johan T. den Dunnen. (2000). The PWWP domain: a potential protein–protein interaction domain in nuclear proteins influencing differentiation?. FEBS Letters. 473(1). 1–5. 178 indexed citations
19.
Nagl, Sylvia, James Freeman, & Temple F. Smith. (1998). EVOLUTIONARY CONSTRAINT NETWORKS IN LIGAND-BINDING DOMAINS: AN INFORMATION-THEORETIC APPROACH. PubMed. 90–101. 9 indexed citations
20.
Nagl, Sylvia, et al.. (1997). v-erbA oncogene initiates ultrastructural changes characteristic of early and intermediate events of meiotic maturation inXenopus oocytes. Journal of Cellular Biochemistry. 67(2). 184–200. 4 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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