Wei-Wen Cai

772 total citations
10 papers, 599 citations indexed

About

Wei-Wen Cai is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Wei-Wen Cai has authored 10 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Wei-Wen Cai's work include Cancer-related Molecular Pathways (4 papers), Cancer Genomics and Diagnostics (2 papers) and Microtubule and mitosis dynamics (2 papers). Wei-Wen Cai is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Cancer Genomics and Diagnostics (2 papers) and Microtubule and mitosis dynamics (2 papers). Wei-Wen Cai collaborates with scholars based in United States, France and Czechia. Wei-Wen Cai's co-authors include Tao Jiang, Jian‐Hua Mao, Allan Balmain, Pulivarthi H. Rao, Dennis R. Roop, B. R. Brinkley, Guillermina Lozano, Carlos Caulı́n, Thao Nguyen and Thea M. Goepfert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Wei-Wen Cai

10 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Wen Cai United States	9	371	197	135	107	85	10	599
Christiane Bürger Germany	9	485 1.3×	284 1.4×	93 0.7×	78 0.7×	70 0.8×	14	648
Susanne Herwig Germany	9	357 1.0×	279 1.4×	58 0.4×	123 1.1×	51 0.6×	17	577
Ulrike Haugwitz Germany	10	483 1.3×	268 1.4×	96 0.7×	42 0.4×	92 1.1×	10	590
Nicole A. Spardy United States	10	300 0.8×	227 1.2×	53 0.4×	64 0.6×	87 1.0×	10	504
Vasco Oliveira United States	10	635 1.7×	182 0.9×	103 0.8×	40 0.4×	102 1.2×	15	829
Nina Korzeniewski Germany	15	425 1.1×	175 0.9×	201 1.5×	87 0.8×	159 1.9×	23	679
J. Watson United Kingdom	12	302 0.8×	119 0.6×	73 0.5×	72 0.7×	91 1.1×	20	567
Laurie M. Delmolino United States	9	471 1.3×	327 1.7×	97 0.7×	128 1.2×	74 0.9×	11	715
Deepak Perumal United States	14	529 1.4×	209 1.1×	106 0.8×	35 0.3×	108 1.3×	33	714
S F Tsai United States	8	700 1.9×	78 0.4×	42 0.3×	122 1.1×	70 0.8×	9	942

Countries citing papers authored by Wei-Wen Cai

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Wen Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Wen Cai. 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-Wen Cai. The network helps show where Wei-Wen Cai may publish in the future.

Co-authorship network of co-authors of Wei-Wen Cai

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

All Works

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10 of 10 papers shown

Iwanaga, Kentaro, Yanan Yang, Maria Gabriela Raso, et al.. (2008). Pten Inactivation Accelerates Oncogenic K-ras –Initiated Tumorigenesis in a Mouse Model of Lung Cancer. Cancer Research. 68(4). 1119–1127. 92 indexed citations

Zhang, Nenggang, René Meyer, Sumita Sethi, et al.. (2008). Overexpression of Separase induces aneuploidy and mammary tumorigenesis. Proceedings of the National Academy of Sciences. 105(35). 13033–13038. 119 indexed citations

Caulı́n, Carlos, Thao Nguyen, Thea M. Goepfert, et al.. (2007). An inducible mouse model for skin cancer reveals distinct roles for gain- and loss-of-function p53 mutations. Journal of Clinical Investigation. 117(7). 1893–1901. 109 indexed citations

Mao, Jian‐Hua, Di Wu, Jesús Pérez‐Losada, et al.. (2007). Crosstalk between Aurora-A and p53: Frequent Deletion or Downregulation of Aurora-A in Tumors from p53 Null Mice. Cancer Cell. 11(2). 161–173. 59 indexed citations

Abba, Martı́n C., Victoria Fabris, Yuhui Hu, et al.. (2007). Identification of Novel Amplification Gene Targets in Mouse and Human Breast Cancer at a Syntenic Cluster Mapping to Mouse ch8A1 and Human ch13q34. Cancer Research. 67(9). 4104–4112. 45 indexed citations

Lehoczky, Jessica A., Wei-Wen Cai, Julie A. Douglas, et al.. (2006). Description and genetic mapping of Polypodia: an X-linked dominant mouse mutant with ectopic caudal limbs and other malformations. Mammalian Genome. 17(9). 903–913. 12 indexed citations

Mao, Jian‐Hua, Jiangzhen Li, Tao Jiang, et al.. (2005). Genomic instability in radiation-induced mouse lymphoma from p53 heterozygous mice. Oncogene. 24(53). 7924–7934. 24 indexed citations

Šmajs, David, Matthew McKevitt, Jerrilyn K. Howell, et al.. (2005). Transcriptome of Treponema pallidum : Gene Expression Profile during Experimental Rabbit Infection. Journal of Bacteriology. 187(5). 1866–1874. 60 indexed citations

Li, Jiangzhen, Tao Jiang, Jian‐Hua Mao, et al.. (2004). Genomic segmental polymorphisms in inbred mouse strains. Nature Genetics. 36(9). 952–954. 77 indexed citations

10.

Kłysik, Jan, et al.. (1999). An Integrated Gene and SSLP BAC Map Framework of Mouse Chromosome 11. Genomics. 62(1). 123–128. 2 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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