Ching‐In Lau

553 total citations
22 papers, 401 citations indexed

About

Ching‐In Lau is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Ching‐In Lau has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Surgery. Recurrent topics in Ching‐In Lau's work include Hedgehog Signaling Pathway Studies (10 papers), Epigenetics and DNA Methylation (5 papers) and T-cell and B-cell Immunology (5 papers). Ching‐In Lau is often cited by papers focused on Hedgehog Signaling Pathway Studies (10 papers), Epigenetics and DNA Methylation (5 papers) and T-cell and B-cell Immunology (5 papers). Ching‐In Lau collaborates with scholars based in United Kingdom, Ecuador and Austria. Ching‐In Lau's co-authors include Tessa Crompton, Anisha Solanki, Susan Ross, José Ignacio Saldaña, Diana C. Yánez, Anna L. Furmanski, Alessandro Barbarulo, Masahiro Ono, Fulvio D’Acquisto and Susan V. Outram and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Ching‐In Lau

22 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐In Lau United Kingdom 14 251 140 57 48 45 22 401
José Ignacio Saldaña United Kingdom 11 232 0.9× 91 0.7× 57 1.0× 51 1.1× 34 0.8× 12 329
Anisha Solanki United Kingdom 13 239 1.0× 132 0.9× 43 0.8× 39 0.8× 70 1.6× 16 369
Diana C. Yánez United Kingdom 11 192 0.8× 158 1.1× 31 0.5× 40 0.8× 71 1.6× 14 364
Debbie Roeleveld Netherlands 9 183 0.7× 146 1.0× 26 0.5× 68 1.4× 67 1.5× 15 422
Yao‐Shan Fan United States 9 94 0.4× 86 0.6× 42 0.7× 48 1.0× 34 0.8× 19 275
Jodie Ulaszek United States 6 154 0.6× 66 0.5× 36 0.6× 24 0.5× 64 1.4× 9 329
Kuan‐Chong Chao Taiwan 8 205 0.8× 120 0.9× 38 0.7× 75 1.6× 50 1.1× 11 617
Huw B. Thomas United Kingdom 11 146 0.6× 173 1.2× 44 0.8× 29 0.6× 40 0.9× 20 378
Anke K. Bergmann Germany 12 244 1.0× 94 0.7× 25 0.4× 59 1.2× 77 1.7× 34 524

Countries citing papers authored by Ching‐In Lau

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐In Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching‐In Lau

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

All Works

20 of 20 papers shown
1.
Lau, Ching‐In, Susan Ross, Diana C. Yánez, et al.. (2024). Distinct T-cell receptor (TCR) gene segment usage and MHC-restriction between foetal and adult thymus. eLife. 13. 3 indexed citations
2.
Ross, Susan, et al.. (2023). Cryopreservation of mouse thymus depletes thymocytes but supports immune reconstitution on transplantation. European Journal of Immunology. 53(12). e2350546–e2350546. 1 indexed citations
3.
Yánez, Diana C., et al.. (2022). The Pioneer Transcription Factor Foxa2 Modulates T Helper Differentiation to Reduce Mouse Allergic Airway Disease. Frontiers in Immunology. 13. 890781–890781. 6 indexed citations
4.
Lau, Ching‐In, Diana C. Yánez, Anisha Solanki, et al.. (2021). The pioneer transcription factors Foxa1 and Foxa2 regulate alternative RNA splicing during thymocyte positive selection. Development. 148(15). 15 indexed citations
5.
6.
Lau, Ching‐In, et al.. (2021). Sonic Hedgehog signalling in the regulation of barrier tissue homeostasis and inflammation. FEBS Journal. 289(24). 8050–8061. 16 indexed citations
7.
Kučera, Filip, Susan Ross, Ching‐In Lau, et al.. (2020). T cell phenotype in paediatric heart transplant recipients. Pediatric Transplantation. 25(5). e13930–e13930. 6 indexed citations
8.
Solanki, Anisha, Diana C. Yánez, Ching‐In Lau, et al.. (2020). The transcriptional repressor Bcl6 promotes pre-TCR induced differentiation to CD4+CD8+ thymocyte and attenuates Notch1 activation. Development. 147(19). 19 indexed citations
9.
Lau, Ching‐In, et al.. (2019). Dysregulated gene expression in oocysts of Plasmodium berghei LAP mutants. Molecular and Biochemical Parasitology. 229. 1–5. 4 indexed citations
10.
Lau, Ching‐In, Anisha Solanki, Susan Ross, et al.. (2019). Sonic Hedgehog Is a Determinant of γδ T-Cell Differentiation in the Thymus. Frontiers in Immunology. 10. 1629–1629. 14 indexed citations
11.
Yánez, Diana C., Susan Ross, Ching‐In Lau, et al.. (2019). Sonic Hedgehog signaling limits atopic dermatitis via Gli2-driven immune regulation. Journal of Clinical Investigation. 129(8). 3153–3170. 42 indexed citations
12.
Lau, Ching‐In, et al.. (2018). Foxa1 and Foxa2 in thymic epithelial cells (TEC) regulate medullary TEC and regulatory T-cell maturation. Journal of Autoimmunity. 93. 131–138. 12 indexed citations
13.
Solanki, Anisha, Diana C. Yánez, Susan Ross, et al.. (2018). In the fetal thymus, Gli3 in thymic epithelial cells promotes thymocyte positive selection and differentiation by repression ofShh. Development. 145(3). 22 indexed citations
14.
Ross, Susan, Melissa Cheung, Ching‐In Lau, et al.. (2018). Transplanted human thymus slices induce and support T‐cell development in mice after cryopreservation. European Journal of Immunology. 48(4). 716–719. 7 indexed citations
15.
Lau, Ching‐In, Alessandro Barbarulo, Anisha Solanki, José Ignacio Saldaña, & Tessa Crompton. (2017). The kinesin motor protein Kif7 is required for T-cell development and normal MHC expression on thymic epithelial cells (TEC) in the thymus. Oncotarget. 8(15). 24163–24176. 19 indexed citations
16.
Saldaña, José Ignacio, Anisha Solanki, Ching‐In Lau, et al.. (2016). Sonic Hedgehog regulates thymic epithelial cell differentiation. Journal of Autoimmunity. 68. 86–97. 29 indexed citations
17.
Barbarulo, Alessandro, et al.. (2016). Hedgehog Signalling in the Embryonic Mouse Thymus. Journal of Developmental Biology. 4(3). 22–22. 12 indexed citations
18.
Ross, Susan, Alessandro Barbarulo, Anisha Solanki, et al.. (2015). A genome wide transcriptional model of the complex response to pre-TCR signalling during thymocyte differentiation. Oncotarget. 6(30). 28646–28660. 19 indexed citations
19.
Furmanski, Anna L., Alessandro Barbarulo, Anisha Solanki, et al.. (2015). The transcriptional activator Gli2 modulates T-cell receptor signalling through attenuation of AP-1 and NFκB activity. Journal of Cell Science. 128(11). 2085–2095. 43 indexed citations
20.
Lau, Ching‐In, Susan V. Outram, José Ignacio Saldaña, et al.. (2012). Regulation of murine normal and stress-induced erythropoiesis by Desert Hedgehog. Blood. 119(20). 4741–4751. 34 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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