Evelyn Lau

1.1k total citations · 1 hit paper
9 papers, 585 citations indexed

About

Evelyn Lau is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Evelyn Lau has authored 9 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Evelyn Lau's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Immune cells in cancer (2 papers). Evelyn Lau is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers) and Immune cells in cancer (2 papers). Evelyn Lau collaborates with scholars based in United Kingdom and France. Evelyn Lau's co-authors include Julian C. Knight, Seiko Makino, Benjamin P. Fairfax, Katharine Plant, Vivek Naranbhai, Peter Humburg, Daniel Wong, Robert Andrews, Luke Jostins and Wanseon Lee and has published in prestigious journals such as Science, Nature Communications and Genome biology.

In The Last Decade

Evelyn Lau

8 papers receiving 581 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression

2014 475 citations Benjamin P. Fairfax, Peter Humburg et al. Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Evelyn Lau	273	256	181	63	48	9	585
Blagoje Soskic	205 0.8×	350 1.4×	129 0.7×	33 0.5×	31 0.6×	16	594
Katharine Plant	446 1.6×	390 1.5×	316 1.7×	97 1.5×	74 1.5×	8	930
Misuzu Ueki	307 1.1×	150 0.6×	118 0.7×	45 0.7×	28 0.6×	57	522
Gaëlle Tilly	268 1.0×	248 1.0×	80 0.4×	40 0.6×	19 0.4×	25	588
Mario Pujato	250 0.9×	157 0.6×	86 0.5×	55 0.9×	100 2.1×	20	594
Kumiko Yoshinobu	295 1.1×	90 0.4×	90 0.5×	33 0.5×	47 1.0×	22	458
Alistair L. J. Symonds	253 0.9×	402 1.6×	65 0.4×	73 1.2×	27 0.6×	23	723
Benjamin D. Solomon	382 1.4×	653 2.6×	131 0.7×	69 1.1×	45 0.9×	21	1.1k
Deborah L. Burnett	186 0.7×	323 1.3×	48 0.3×	31 0.5×	50 1.0×	19	568
André Luíz Teles e Silva	163 0.6×	411 1.6×	68 0.4×	20 0.3×	48 1.0×	12	702

Countries citing papers authored by Evelyn Lau

Since Specialization

Citations

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

Fields of papers citing papers by Evelyn Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evelyn Lau

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

All Works

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9 of 9 papers shown

1.

Nassiri, Isar, James J. Gilchrist, Orion Tong, et al.. (2025). Genetic determinants of monocyte splicing are enriched for disease susceptibility loci. Nature Communications. 16(1). 8616–8616.

2.

Gilchrist, James J., Hai Fang, Sara Danielli, et al.. (2024). Characterization of the genetic determinants of context-specific DNA methylation in primary monocytes. Cell Genomics. 4(5). 100541–100541. 1 indexed citations

3.

Gilchrist, James J., Seiko Makino, Vivek Naranbhai, et al.. (2022). Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity. Nature Communications. 13(1). 4073–4073. 14 indexed citations

4.

Vanhaesebroeck, Bart, et al.. (2019). Perspective: Potential Impact and Therapeutic Implications of Oncogenic PI3K Activation on Chromosomal Instability. Biomolecules. 9(8). 331–331. 10 indexed citations

5.

Al‐Mossawi, Hussein, Nicole Yager, Chelsea Taylor, et al.. (2019). Context-specific regulation of surface and soluble IL7R expression by an autoimmune risk allele. Nature Communications. 10(1). 4575–4575. 30 indexed citations

6.

Berlanga‐Taylor, Antonio J., Katharine Plant, Andrew Dahl, et al.. (2018). Genomic Response to Vitamin D Supplementation in the Setting of a Randomized, Placebo-Controlled Trial. EBioMedicine. 31. 133–142. 25 indexed citations

7.

Wong, Daniel, Wanseon Lee, Peter Humburg, et al.. (2014). Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach. Genome biology. 15(10). 494–494. 28 indexed citations

8.

Fairfax, Benjamin P., Peter Humburg, Seiko Makino, et al.. (2014). Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression. Science. 343(6175). 1246949–1246949. 475 indexed citations breakdown →

9.

Wong, Daniel, Wanseon Lee, Peter Humburg, et al.. (2014). Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach. Genome Biology. 15(10). 494–494. 2 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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