L‐M Ching

601 total citations
11 papers, 532 citations indexed

About

L‐M Ching is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, L‐M Ching has authored 11 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in L‐M Ching's work include Cell death mechanisms and regulation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Bioactive Compounds and Antitumor Agents (2 papers). L‐M Ching is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Bioactive Compounds and Antitumor Agents (2 papers). L‐M Ching collaborates with scholars based in New Zealand, United States and France. L‐M Ching's co-authors include Baguley Bc, Michael B. Jameson, Claudine Kiéda, Wayne R. Joseph, Bruce C. Baguley, P. Kestell, Peter Stone, Qi Chen, Larry Chamley and Brian D. Palmer and has published in prestigious journals such as British Journal of Cancer and The Journal of Pathology.

In The Last Decade

L‐M Ching

11 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L‐M Ching New Zealand 11 254 164 147 141 53 11 532
Sandeep Batra United States 10 274 1.1× 88 0.5× 134 0.9× 80 0.6× 64 1.2× 38 689
Lei Deng China 12 219 0.9× 278 1.7× 330 2.2× 90 0.6× 71 1.3× 25 786
Ruifang Xu China 12 198 0.8× 51 0.3× 58 0.4× 60 0.4× 72 1.4× 27 523
Annalisa Lorenzato Italy 13 369 1.5× 69 0.4× 137 0.9× 234 1.7× 117 2.2× 22 698
Lidija Beketić-Orešković Croatia 13 288 1.1× 26 0.2× 276 1.9× 102 0.7× 36 0.7× 37 591
Susan M. Christner United States 14 326 1.3× 45 0.3× 316 2.1× 106 0.8× 118 2.2× 33 723
Debora Garcia Rodrigues Brazil 8 153 0.6× 46 0.3× 78 0.5× 131 0.9× 34 0.6× 16 440
Lei Yan China 15 342 1.3× 65 0.4× 94 0.6× 162 1.1× 137 2.6× 43 584
Claudia Arce Mexico 9 548 2.2× 40 0.2× 225 1.5× 227 1.6× 68 1.3× 17 880
Karine Aupeix France 8 266 1.0× 152 0.9× 69 0.5× 34 0.2× 27 0.5× 8 480

Countries citing papers authored by L‐M Ching

Since Specialization
Citations

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

Fields of papers citing papers by L‐M Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L‐M Ching

This figure shows the co-authorship network connecting the top 25 collaborators of L‐M Ching. A scholar is included among the top collaborators of L‐M Ching 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 L‐M Ching. L‐M Ching 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.
Guo, Kangkang, et al.. (2013). Identification of human-selective analogues of the vascular-disrupting agent 5,6-dimethylxanthenone-4-acetic acid (DMXAA). British Journal of Cancer. 108(6). 1306–1315. 27 indexed citations
2.
Henare, Kimiora, et al.. (2012). Dissection of stromal and cancer cell-derived signals in melanoma xenografts before and after treatment with DMXAA. British Journal of Cancer. 106(6). 1134–1147. 14 indexed citations
3.
Chen, Qi, Peter Stone, L‐M Ching, & Larry Chamley. (2008). A role for interleukin‐6 in spreading endothelial cell activation after phagocytosis of necrotic trophoblastic material: implications for the pathogenesis of pre‐eclampsia. The Journal of Pathology. 217(1). 122–130. 50 indexed citations
4.
Ching, L‐M, et al.. (2004). Relationship between tumour endothelial cell apoptosis and tumour blood flow shutdown following treatment with the antivascular agent DMXAA in mice. British Journal of Cancer. 90(4). 906–910. 72 indexed citations
5.
Ching, L‐M, et al.. (2002). Induction of endothelial cell apoptosis by the antivascular agent 5,6-dimethylxanthenone-4-acetic acid. British Journal of Cancer. 86(12). 1937–1942. 110 indexed citations
6.
Ching, L‐M, et al.. (2002). The antitumour activity of 5,6-dimethylxanthenone-4-acetic acid (DMXAA) in TNF receptor-1 knockout mice. British Journal of Cancer. 87(4). 465–470. 60 indexed citations
7.
Cao, Zhiyun, Wayne R. Joseph, Kathleen G. Mountjoy, et al.. (1999). Thalidomide increases both intra-tumoural tumour necrosis factor-α production and anti-tumour activity in response to 5,6-dimethylxanthenone-4-acetic acid. British Journal of Cancer. 80(5-6). 716–723. 38 indexed citations
8.
9.
10.
Ching, L‐M, et al.. (1995). Effect of thalidomide on tumour necrosis factor production and anti-tumour activity induced by 5,6-dimethylxanthenone-4-acetic acid. British Journal of Cancer. 72(2). 339–343. 55 indexed citations
11.
Ching, L‐M, Wayne R. Joseph, & Bruce C. Baguley. (1992). Antitumour responses to flavone-8-acetic acid and 5,6-dimethylxanthenone-4-acetic acid in immune deficient mice. British Journal of Cancer. 66(1). 128–130. 33 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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