Kam‐Wing Ling

715 total citations
9 papers, 549 citations indexed

About

Kam‐Wing Ling is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Kam‐Wing Ling has authored 9 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Kam‐Wing Ling's work include Immune Cell Function and Interaction (6 papers), Zebrafish Biomedical Research Applications (4 papers) and T-cell and B-cell Immunology (4 papers). Kam‐Wing Ling is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Zebrafish Biomedical Research Applications (4 papers) and T-cell and B-cell Immunology (4 papers). Kam‐Wing Ling collaborates with scholars based in Netherlands, Germany and Czechia. Kam‐Wing Ling's co-authors include Rudi W. Hendriks, Elaine Dzierzak, Jan Piet van Hamburg, Aneta Oziemlak, Rob E. Ploemacher, Fong‐Ying Tsai, Katrin Ottersbach, Stuart H. Orkin, Gemma M. Dingjan and Frank Grosveld and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and Blood.

In The Last Decade

Kam‐Wing Ling

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kam‐Wing Ling Netherlands 8 366 166 165 112 64 9 549
Katie L. Kathrein United States 8 382 1.0× 132 0.8× 149 0.9× 102 0.9× 35 0.5× 16 563
HJ Lawrence United States 10 575 1.6× 113 0.7× 280 1.7× 82 0.7× 104 1.6× 15 724
Hitoshi Hibino Japan 8 251 0.7× 129 0.8× 184 1.1× 71 0.6× 66 1.0× 9 412
Monika Lichtinger United Kingdom 13 485 1.3× 292 1.8× 151 0.9× 212 1.9× 44 0.7× 17 750
Cristina Fugazza United Kingdom 9 346 0.9× 93 0.6× 139 0.8× 52 0.5× 39 0.6× 14 468
Michelle Giehl Germany 10 236 0.6× 99 0.6× 206 1.2× 88 0.8× 58 0.9× 15 549
Seishi Ogawa Japan 5 285 0.8× 118 0.7× 347 2.1× 86 0.8× 33 0.5× 11 508
Aileen M. Smith United Kingdom 7 268 0.7× 167 1.0× 57 0.3× 73 0.7× 38 0.6× 8 453
Fuyin Xiong China 8 251 0.7× 88 0.5× 87 0.5× 126 1.1× 32 0.5× 10 368
Thomas Clapes Netherlands 9 250 0.7× 166 1.0× 119 0.7× 207 1.8× 38 0.6× 13 415

Countries citing papers authored by Kam‐Wing Ling

Since Specialization
Citations

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

Fields of papers citing papers by Kam‐Wing Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam‐Wing Ling. 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 Kam‐Wing Ling. The network helps show where Kam‐Wing Ling may publish in the future.

Co-authorship network of co-authors of Kam‐Wing Ling

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

All Works

9 of 9 papers shown
1.
Heath, Helen, Claudia Ribeiro de Almeida, Frank Sleutels, et al.. (2008). CTCF regulates cell cycle progression of αβ T cells in the thymus. The EMBO Journal. 27(21). 2839–2850. 142 indexed citations
2.
Hamburg, Jan Piet van, Marjolein J. W. de Bruijn, Gemma M. Dingjan, et al.. (2008). Cooperation of Gata3, c-Myc and Notch in malignant transformation of double positive thymocytes. Molecular Immunology. 45(11). 3085–3095. 20 indexed citations
3.
Hambach, Lothar, Kam‐Wing Ling, Jos Pool, et al.. (2008). Hypomethylating drugs convert HA-1–negative solid tumors into targets for stem cell–based immunotherapy. Blood. 113(12). 2715–2722. 38 indexed citations
4.
Ling, Kam‐Wing, Jan Piet van Hamburg, Marjolein J. W. de Bruijn, et al.. (2007). GATA3 controls the expression of CD5 and the T cell receptor during CD4 T cell lineage development. European Journal of Immunology. 37(4). 1043–1052. 26 indexed citations
5.
Peeters, Marian, Kam‐Wing Ling, Aneta Oziemlak, Catherine Robin, & Elaine Dzierzak. (2005). Multipotential hematopoietic progenitor cells from embryos developed in vitro engraft unconditioned W41/W41 neonatal miceB.. PubMed. 90(6). 734–9. 4 indexed citations
6.
Ling, Kam‐Wing, Katrin Ottersbach, Jan Piet van Hamburg, et al.. (2004). GATA-2 Plays Two Functionally Distinct Roles during the Ontogeny of Hematopoietic Stem Cells. The Journal of Experimental Medicine. 200(7). 871–882. 241 indexed citations
7.
Loo, Pieter Fokko van, Peter Bouwman, Kam‐Wing Ling, et al.. (2003). Impaired hematopoiesis in mice lacking the transcription factor Sp3. Blood. 102(3). 858–866. 39 indexed citations
8.
Ling, Kam‐Wing & Elaine Dzierzak. (2002). Ontogeny and genetics of the hemato/lymphopoietic system. Current Opinion in Immunology. 14(2). 186–191. 23 indexed citations
9.
Ma, Xiaoqian, Kam‐Wing Ling, & Elaine Dzierzak. (2001). Cloning of the Ly‐6A (Sca‐1) gene locus and identification of a 3′ distal fragment responsible for high‐level γ‐interferon‐induced expression in vitro. British Journal of Haematology. 114(3). 724–730. 16 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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