Nicholas V.C. Chia

1.1k total citations
8 papers, 799 citations indexed

About

Nicholas V.C. Chia is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Nicholas V.C. Chia has authored 8 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Nicholas V.C. Chia's work include T-cell and B-cell Immunology (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Genomics and Rare Diseases (1 paper). Nicholas V.C. Chia is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers) and Genomics and Rare Diseases (1 paper). Nicholas V.C. Chia collaborates with scholars based in United States, Germany and Malaysia. Nicholas V.C. Chia's co-authors include Enno Christophers, Stefan Jenisch, John J. Voorhees, Rajan P. Nair, Philip E. Stuart, James T. Elder, Henry W. Lim, Ravi Hiremagalore, Gonçalo R. Abecasis and Michael Weichenthal and has published in prestigious journals such as The American Journal of Human Genetics, BMC Bioinformatics and Frontiers in Neurology.

In The Last Decade

Nicholas V.C. Chia

7 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas V.C. Chia United States 4 672 295 205 123 115 8 799
A. David Burden United Kingdom 7 661 1.0× 285 1.0× 213 1.0× 141 1.1× 105 0.9× 9 934
Maria Yhr Sweden 12 476 0.7× 194 0.7× 153 0.7× 110 0.9× 84 0.7× 15 671
M. Carducci Italy 13 433 0.6× 232 0.8× 91 0.4× 95 0.8× 125 1.1× 27 624
Laura F. Morris United States 8 436 0.6× 181 0.6× 89 0.4× 78 0.6× 94 0.8× 10 663
Petra Besgen Germany 6 526 0.8× 305 1.0× 147 0.7× 100 0.8× 64 0.6× 6 619
Tomonori Takekoshi Japan 13 544 0.8× 236 0.8× 94 0.5× 288 2.3× 55 0.5× 20 788
Melissa Magliocco United States 5 346 0.5× 166 0.6× 76 0.4× 72 0.6× 118 1.0× 9 466
Michela Ortoncelli Italy 17 364 0.5× 443 1.5× 150 0.7× 168 1.4× 80 0.7× 56 741
S. Karlen Switzerland 7 312 0.5× 239 0.8× 146 0.7× 64 0.5× 65 0.6× 11 500
Anna‐Karin Ekman Sweden 12 363 0.5× 122 0.4× 98 0.5× 59 0.5× 55 0.5× 16 541

Countries citing papers authored by Nicholas V.C. Chia

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas V.C. Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas V.C. Chia. 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 Nicholas V.C. Chia. The network helps show where Nicholas V.C. Chia may publish in the future.

Co-authorship network of co-authors of Nicholas V.C. Chia

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

All Works

8 of 8 papers shown
1.
Gnanaolivu, Rohan, Gavin R. Oliver, Garrett Jenkinson, et al.. (2025). A clinical knowledge graph-based framework to prioritize candidate genes for facilitating diagnosis of Mendelian diseases and rare genetic conditions. BMC Bioinformatics. 26(1). 82–82.
2.
Rosales, Raymond L., Nicholas V.C. Chia, Khean Jin Goh, et al.. (2024). Botulinum toxin A injection for post-stroke upper limb spasticity and rehabilitation practices from centers across Asian countries. Frontiers in Neurology. 15. 1335365–1335365. 2 indexed citations
3.
Nair, Rajan P., Philip E. Stuart, Ravi Hiremagalore, et al.. (2006). Sequence and Haplotype Analysis Supports HLA-C as the Psoriasis Susceptibility 1 Gene. The American Journal of Human Genetics. 78(5). 827–851. 447 indexed citations
4.
Elder, James T., Rajan P. Nair, Tilo Henseler, et al.. (2001). The Genetics of Psoriasis 2001. Archives of Dermatology. 137(11). 1447–54. 144 indexed citations
5.
Stoll, Stefan, Nicholas V.C. Chia, Rajan P. Nair, et al.. (2001). S100A2 coding sequence polymorphism: characterization and lack of association with psoriasis. Clinical and Experimental Dermatology. 26(1). 79–83. 9 indexed citations
6.
Nair, Rajan P., Philip E. Stuart, Tilo Henseler, et al.. (2000). Localization of Psoriasis-Susceptibility Locus PSORS1 to a 60-kb Interval Telomeric to HLA-C. The American Journal of Human Genetics. 66(6). 1833–1844. 195 indexed citations
7.
Henseler, Tilo, Stefan Jenisch, Nicholas V.C. Chia, et al.. (2000). Localization of Psoriasis-Susceptibility Locus PSORS1 to a 60-kb Interval Telomeric to HLA-C. [In Process Citation]. The Mouseion at the JAXlibrary (Jackson Laboratory). 1833. 1 indexed citations
8.
Henseler, Tilo, Stefan Jenisch, Nicholas V.C. Chia, et al.. (1998). Mapping of psoriasis susceptibility locus to a 330 kb region of centromeric HLA class I (6p21.3) by linkage disequilibrium analysis. Journal of Dermatological Science. 16. S143–S143. 1 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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