Nien Yee Kow

1.1k total citations · 1 hit paper
10 papers, 675 citations indexed

About

Nien Yee Kow is a scholar working on Immunology, Rheumatology and Pathology and Forensic Medicine. According to data from OpenAlex, Nien Yee Kow has authored 10 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Rheumatology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Nien Yee Kow's work include Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (3 papers). Nien Yee Kow is often cited by papers focused on Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (3 papers). Nien Yee Kow collaborates with scholars based in Singapore, Australia and Sweden. Nien Yee Kow's co-authors include Anselm Mak, Alberta Hoi, Jonna Peterson, Titilola Falasinnu, Elisabet Svenungsson, Cristina Drenkard, Ann E. Clarke, Rosalind Ramsey‐Goldman, Megan R.W. Barber and Herbert Schwarz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Nien Yee Kow

9 papers receiving 667 citations

Hit Papers

Global epidemiology of systemic lupus erythematosus 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nien Yee Kow Singapore 7 489 411 98 85 69 10 675
Larissa Lisnevskaia Canada 6 505 1.0× 394 1.0× 111 1.1× 106 1.2× 68 1.0× 8 738
Viola Signorini Italy 13 487 1.0× 308 0.7× 86 0.9× 102 1.2× 49 0.7× 31 640
Antonios Psarras United Kingdom 14 378 0.8× 406 1.0× 117 1.2× 70 0.8× 112 1.6× 27 790
Yun Lian United States 8 256 0.5× 284 0.7× 141 1.4× 88 1.0× 69 1.0× 10 596
Arno W. R. van Kuijk Netherlands 15 661 1.4× 562 1.4× 114 1.2× 56 0.7× 85 1.2× 29 1.1k
Fu-lin Tang China 15 423 0.9× 385 0.9× 161 1.6× 89 1.0× 97 1.4× 52 860
Emilie C. Rijnink Netherlands 6 699 1.4× 409 1.0× 75 0.8× 92 1.1× 34 0.5× 7 896
Yonsu Son Japan 16 412 0.8× 264 0.6× 80 0.8× 37 0.4× 55 0.8× 49 712
Gloria Martínez-Bonilla Mexico 13 260 0.5× 188 0.5× 92 0.9× 46 0.5× 49 0.7× 38 518
Bozena Möller Sweden 9 678 1.4× 471 1.1× 93 0.9× 69 0.8× 203 2.9× 12 962

Countries citing papers authored by Nien Yee Kow

Since Specialization
Citations

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

Fields of papers citing papers by Nien Yee Kow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nien Yee Kow. 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 Nien Yee Kow. The network helps show where Nien Yee Kow may publish in the future.

Co-authorship network of co-authors of Nien Yee Kow

This figure shows the co-authorship network connecting the top 25 collaborators of Nien Yee Kow. A scholar is included among the top collaborators of Nien Yee Kow 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 Nien Yee Kow. Nien Yee Kow 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.
Lee, Ainsley Ryan Yan Bin, Chun En Yau, Shi Yin Wong, et al.. (2024). High-density lipoprotein cholesterol subfraction HDL2 is associated with improved endothelial function in systemic lupus erythematosus. Lupus Science & Medicine. 11(1). e001030–e001030.
2.
Barber, Megan R.W., Cristina Drenkard, Titilola Falasinnu, et al.. (2021). Publisher Correction: Global epidemiology of systemic lupus erythematosus. Nature Reviews Rheumatology. 17(10). 642–642. 5 indexed citations
3.
Barber, Megan R.W., Cristina Drenkard, Titilola Falasinnu, et al.. (2021). Global epidemiology of systemic lupus erythematosus. Nature Reviews Rheumatology. 17(9). 515–532. 387 indexed citations breakdown →
6.
Mak, Anselm, Bhushan Dharmadhikari, Nien Yee Kow, et al.. (2019). Deletion of CD137 Ligand Exacerbates Renal and Cutaneous but Alleviates Cerebral Manifestations in Lupus. Frontiers in Immunology. 10. 1411–1411. 10 indexed citations
7.
Mak, Anselm, Nien Yee Kow, Herbert Schwarz, et al.. (2017). Endothelial dysfunction in systemic lupus erythematosus – a case-control study and an updated meta-analysis and meta-regression. Scientific Reports. 7(1). 7320–7320. 58 indexed citations
8.
Mak, Anselm & Nien Yee Kow. (2014). Imbalance between Endothelial Damage and Repair: A Gateway to Cardiovascular Disease in Systemic Lupus Erythematosus. BioMed Research International. 2014. 1–11. 28 indexed citations
9.
Mak, Anselm & Nien Yee Kow. (2014). The Pathology of T Cells in Systemic Lupus Erythematosus. Journal of Immunology Research. 2014. 1–8. 136 indexed citations
10.
Kow, Nien Yee & Anselm Mak. (2013). Costimulatory Pathways: Physiology and Potential Therapeutic Manipulation in Systemic Lupus Erythematosus. SHILAP Revista de lepidopterología. 2013. 1–12. 39 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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