Wei‐Jen Chua

3.3k total citations · 1 hit paper
6 papers, 2.5k citations indexed

About

Wei‐Jen Chua is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Wei‐Jen Chua has authored 6 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Epidemiology and 1 paper in Oncology. Recurrent topics in Wei‐Jen Chua's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Wei‐Jen Chua is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Cytomegalovirus and herpesvirus research (3 papers). Wei‐Jen Chua collaborates with scholars based in United States, Netherlands and France. Wei‐Jen Chua's co-authors include Ted H. Hansen, Simon Gordonov, Andrew Chow, Emmanuel L. Gautier, Jennifer Miller, Avi Ma’ayan, Shannon J. Turley, Gwendalyn J. Randolph, Kutlu G. Elpek and Miriam Mérad and has published in prestigious journals such as The Journal of Cell Biology, Nature Immunology and The Journal of Immunology.

In The Last Decade

Wei‐Jen Chua

6 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages

2012 1.5k citations Emmanuel L. Gautier, Tal Shay et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei‐Jen Chua United States	6	1.9k	649	472	375	217	6	2.5k
Josephine Lum Singapore	20	1.6k 0.9×	759 1.2×	262 0.6×	274 0.7×	326 1.5×	30	2.5k
Yasutaka Okabe Japan	12	1.8k 1.0×	901 1.4×	252 0.5×	174 0.5×	301 1.4×	18	2.4k
Woo‐Yong Lee Canada	17	1.2k 0.7×	478 0.7×	319 0.7×	224 0.6×	152 0.7×	27	2.1k
Steven M. Kerfoot Canada	22	1.2k 0.7×	407 0.6×	193 0.4×	218 0.6×	264 1.2×	39	2.1k
Chia-Lin Tsou United States	16	1.4k 0.7×	548 0.8×	330 0.7×	193 0.5×	806 3.7×	19	2.4k
Andrea Reboldi United States	21	2.0k 1.1×	915 1.4×	250 0.5×	344 0.9×	456 2.1×	30	3.2k
Wing Y. Lam United States	12	2.2k 1.2×	1.1k 1.6×	478 1.0×	117 0.3×	338 1.6×	13	3.2k
Gaëlle Elain Switzerland	7	1.2k 0.7×	373 0.6×	186 0.4×	350 0.9×	313 1.4×	9	1.9k
Jörg Zwirner Germany	34	2.7k 1.4×	675 1.0×	190 0.4×	202 0.5×	451 2.1×	60	3.6k
Michal Caspi Tal United States	13	1.3k 0.7×	1.3k 1.9×	651 1.4×	105 0.3×	189 0.9×	19	2.4k

Countries citing papers authored by Wei‐Jen Chua

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Jen Chua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Jen Chua. 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 Wei‐Jen Chua. The network helps show where Wei‐Jen Chua may publish in the future.

Co-authorship network of co-authors of Wei‐Jen Chua

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

All Works

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6 of 6 papers shown

1.

Gautier, Emmanuel L., Tal Shay, Jennifer Miller, et al.. (2012). Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nature Immunology. 13(11). 1118–1128. 1492 indexed citations breakdown →

2.

Chua, Wei‐Jen, Steven M. Truscott, Christopher S. Eickhoff, et al.. (2012). Polyclonal Mucosa-Associated Invariant T Cells Have Unique Innate Functions in Bacterial Infection. Infection and Immunity. 80(9). 3256–3267. 217 indexed citations

3.

Chua, Wei‐Jen, Sojung Kim, Nancy B. Myers, et al.. (2011). Endogenous MHC-Related Protein 1 Is Transiently Expressed on the Plasma Membrane in a Conformation That Activates Mucosal-Associated Invariant T Cells. The Journal of Immunology. 186(8). 4744–4750. 64 indexed citations

4.

Gold, Marielle C., Stefania Cerri, Susan Smyk‐Pearson, et al.. (2010). Human Mucosal Associated Invariant T Cells Detect Bacterially Infected Cells. PLoS Biology. 8(6). e1000407–e1000407. 493 indexed citations

5.

Chua, Wei‐Jen & Ted H. Hansen. (2010). Bacteria, mucosal‐associated invariant T cells and MR1. Immunology and Cell Biology. 88(8). 767–769. 8 indexed citations

6.

Wang, Xiaoli, Roger A. Herr, Wei‐Jen Chua, et al.. (2007). Ubiquitination of serine, threonine, or lysine residues on the cytoplasmic tail can induce ERAD of MHC-I by viral E3 ligase mK3. The Journal of Cell Biology. 177(4). 613–624. 234 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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