Lisa Kashima

451 total citations
9 papers, 367 citations indexed

About

Lisa Kashima is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lisa Kashima has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Lisa Kashima's work include Cancer Research and Treatments (2 papers), DNA Repair Mechanisms (2 papers) and Ubiquitin and proteasome pathways (2 papers). Lisa Kashima is often cited by papers focused on Cancer Research and Treatments (2 papers), DNA Repair Mechanisms (2 papers) and Ubiquitin and proteasome pathways (2 papers). Lisa Kashima collaborates with scholars based in Japan, United States and Russia. Lisa Kashima's co-authors include Takashi Tokino, Yasushi Sasaki, Hiromu Suzuki, Hiroaki Mita, Masashi Idogawa, Kazuhiro Ogi, Minoru Toyota, Hiroyoshi Ariga, Reo Maruyama and Yasuhisa Shinomura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Lisa Kashima

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Kashima Japan	8	270	144	97	43	36	9	367
Georg Machat Austria	4	279 1.0×	144 1.0×	113 1.2×	36 0.8×	32 0.9×	4	416
Qionghua Zhu China	10	384 1.4×	128 0.9×	93 1.0×	39 0.9×	31 0.9×	13	474
Jeroen M. Bugter Netherlands	6	304 1.1×	102 0.7×	82 0.8×	39 0.9×	38 1.1×	6	411
Mariel C. Paul Germany	5	297 1.1×	185 1.3×	82 0.8×	26 0.6×	25 0.7×	7	387
Eva Y‐HP Lee United States	5	283 1.0×	128 0.9×	121 1.2×	50 1.2×	30 0.8×	6	409
Mohammad Ahmad United States	11	237 0.9×	141 1.0×	116 1.2×	35 0.8×	33 0.9×	19	348
Sourik S. Ganguly United States	10	244 0.9×	142 1.0×	81 0.8×	74 1.7×	26 0.7×	15	403
Hwajin Son South Korea	3	187 0.7×	116 0.8×	82 0.8×	27 0.6×	37 1.0×	4	290
Ying-Hui Zhu China	11	290 1.1×	129 0.9×	131 1.4×	50 1.2×	19 0.5×	15	422
Junyu Tan China	8	269 1.0×	95 0.7×	102 1.1×	28 0.7×	39 1.1×	11	348

Countries citing papers authored by Lisa Kashima

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Kashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Kashima. 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 Lisa Kashima. The network helps show where Lisa Kashima may publish in the future.

Co-authorship network of co-authors of Lisa Kashima

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

All Works

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9 of 9 papers shown

Idogawa, Masashi, Yasushi Sasaki, Reo Maruyama, et al.. (2014). Identification and analysis of large intergenic non-coding RNAs regulated by p53 family members through a genome-wide analysis of p53-binding sites. Human Molecular Genetics. 23(11). 2847–2857. 34 indexed citations

Yamane, T., Lisa Kashima, Keisuke Takeuchi, et al.. (2013). Transcriptional regulation of the legumain gene by p53 in HCT116 cells. Biochemical and Biophysical Research Communications. 438(4). 613–618. 22 indexed citations

Kashima, Lisa, Masashi Idogawa, Hiroaki Mita, et al.. (2012). CHFR Protein Regulates Mitotic Checkpoint by Targeting PARP-1 Protein for Ubiquitination and Degradation. Journal of Biological Chemistry. 287(16). 12975–12984. 86 indexed citations

Sasaki, Yasushi, Ryota Koyama, Lisa Kashima, et al.. (2012). A novel approach to cancer treatment using structural hybrids of the p53 gene family. Cancer Gene Therapy. 19(11). 749–756. 5 indexed citations

Cheung, Arthur Kwok Leung, Josephine Mun Yee Ko, Hong Lok Lung, et al.. (2011). Cysteine-rich intestinal protein 2 ( CRIP2 ) acts as a repressor of NF-κB–mediated proangiogenic cytokine transcription to suppress tumorigenesis and angiogenesis. Proceedings of the National Academy of Sciences. 108(20). 8390–8395. 67 indexed citations

Mita, Hiroaki, Minoru Toyota, Fumio Aoki, et al.. (2009). A novel method, digital genome scanning detects KRAS gene amplification in gastric cancers: involvement of overexpressed wild-type KRAS in downstream signaling and cancer cell growth. BMC Cancer. 9(1). 198–198. 46 indexed citations

Kashima, Lisa, M Toyota, Hiroaki Mita, et al.. (2009). CHFR, a potential tumor suppressor, downregulates interleukin-8 through the inhibition of NF-κB. Oncogene. 28(29). 2643–2653. 30 indexed citations

Imai, Takashi, Minoru Toyota, Hiromu Suzuki, et al.. (2008). Epigenetic inactivation of RASSF2 in oral squamous cell carcinoma. Cancer Science. 99(5). 958–966. 45 indexed citations

Ogi, Kazuhiro, Minoru Toyota, Hiroaki Mita, et al.. (2005). Small interfering RNA-induced CHFR silencing sensitizes oral squamous cell cancer cells to microtubule inhibitors. Cancer Biology & Therapy. 4(7). 773–780. 32 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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