Kai Ling Liang

411 total citations
11 papers, 179 citations indexed

About

Kai Ling Liang is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Kai Ling Liang has authored 11 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Kai Ling Liang's work include T-cell and B-cell Immunology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Phagocytosis and Immune Regulation (2 papers). Kai Ling Liang is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Phagocytosis and Immune Regulation (2 papers). Kai Ling Liang collaborates with scholars based in United Kingdom, Ireland and Belgium. Kai Ling Liang's co-authors include Karen Keeshan, Loveena Rishi, Tommie V. McCarthy, Tom Taghon, Bart Vandekerckhove, Marieke Lavaert, Georges Leclercq, Anna Kuchmiy, Ruaidhrı́ J. Carmody and Pieter Van Vlierberghe and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kai Ling Liang

10 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Ling Liang United Kingdom 7 97 56 42 38 32 11 179
Justin C. Wheat United States 7 193 2.0× 65 1.2× 31 0.7× 67 1.8× 27 0.8× 12 275
Anne-Katrine Frank Denmark 7 172 1.8× 55 1.0× 26 0.6× 100 2.6× 27 0.8× 9 235
Subbaiah Chary Nimmagadda Germany 9 120 1.2× 25 0.4× 16 0.4× 47 1.2× 40 1.3× 13 172
Chunlan Hua China 9 147 1.5× 38 0.7× 27 0.6× 53 1.4× 32 1.0× 12 234
Matthew Gumbleton United States 6 119 1.2× 97 1.7× 21 0.5× 15 0.4× 41 1.3× 9 209
Cheng Yong Tham Singapore 5 137 1.4× 42 0.8× 48 1.1× 38 1.0× 15 0.5× 7 210
Mark J. Althoff United States 6 91 0.9× 35 0.6× 21 0.5× 61 1.6× 15 0.5× 12 157
Magdalena Florkowska United Kingdom 7 168 1.7× 39 0.7× 108 2.6× 43 1.1× 14 0.4× 7 231
Alix Rousseau France 5 199 2.1× 40 0.7× 19 0.5× 75 2.0× 54 1.7× 6 281
Brynelle Myers United Kingdom 3 204 2.1× 67 1.2× 20 0.5× 52 1.4× 20 0.6× 6 280

Countries citing papers authored by Kai Ling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Ling Liang. 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 Kai Ling Liang. The network helps show where Kai Ling Liang may publish in the future.

Co-authorship network of co-authors of Kai Ling Liang

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

All Works

11 of 11 papers shown
1.
Liang, Kai Ling, et al.. (2025). Thymic pioneers: Charting the origin, identity, and fate of human thymus seeding progenitors. Journal of Allergy and Clinical Immunology. 156(4). 854–866.
2.
Liang, Kai Ling, Elisa Laurenti, & Tom Taghon. (2023). Circulating IRF8-expressing CD123+CD127+ lymphoid progenitors: key players in human hematopoiesis. Trends in Immunology. 44(9). 678–692. 6 indexed citations
3.
Zhou, Cefan, Xueying Dong, Ming Wang, et al.. (2022). Phosphorylated STYK1 restrains the inhibitory role of EGFR in autophagy initiation and EGFR-TKIs sensitivity. SHILAP Revista de lepidopterología. 1(4). 100045–100045. 8 indexed citations
4.
Roels, Juliette, Anna Kuchmiy, Marieke Lavaert, et al.. (2020). Distinct and temporary-restricted epigenetic mechanisms regulate human αβ and γδ T cell development. Nature Immunology. 21(10). 1280–1292. 44 indexed citations
5.
Lavaert, Marieke, et al.. (2020). Conventional and Computational Flow Cytometry Analyses Reveal Sustained Human Intrathymic T Cell Development From Birth Until Puberty. Frontiers in Immunology. 11. 1659–1659. 5 indexed citations
6.
Smith, Emma, Domenico Somma, David Kerrigan, et al.. (2019). The regulation of sequence specific NF-κB DNA binding and transcription by IKKβ phosphorylation of NF-κB p50 at serine 80. Nucleic Acids Research. 47(21). 11151–11163. 17 indexed citations
7.
Liang, Kai Ling, et al.. (2016). TRIB2 regulates normal and stress-induced thymocyte proliferation. Cell Discovery. 2(1). 15050–15050. 29 indexed citations
8.
Liang, Kai Ling, Roberto Paredes, Ruaidhrı́ J. Carmody, et al.. (2016). Human TRIB2 Oscillates during the Cell Cycle and Promotes Ubiquitination and Degradation of CDC25C. International Journal of Molecular Sciences. 17(9). 1378–1378. 17 indexed citations
9.
Liang, Kai Ling, et al.. (2015). Investigation of the role of TRIB2 in normal murine hematopoiesis. Experimental Hematology. 43(9). S77–S77. 1 indexed citations
10.
Liang, Kai Ling, Loveena Rishi, & Karen Keeshan. (2013). Tribbles in acute leukemia. Blood. 121(21). 4265–4270. 41 indexed citations
11.

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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2026