Yasuko Kitagishi

2.4k total citations
55 papers, 1.9k citations indexed

About

Yasuko Kitagishi is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Yasuko Kitagishi has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cell Biology. Recurrent topics in Yasuko Kitagishi's work include PI3K/AKT/mTOR signaling in cancer (11 papers), Tryptophan and brain disorders (6 papers) and Gut microbiota and health (5 papers). Yasuko Kitagishi is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (11 papers), Tryptophan and brain disorders (6 papers) and Gut microbiota and health (5 papers). Yasuko Kitagishi collaborates with scholars based in Japan and Serbia. Yasuko Kitagishi's co-authors include Satoru Matsuda, Mayumi Kobayashi, Atsuko Nakanishi, Yasunori Ogura, Akari Minami, Ai Tsuji, Yukie Nakagawa, Yuka Ikeda, Yuri Nishimura and Naoko Okumura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Yasuko Kitagishi

55 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuko Kitagishi Japan 23 1.0k 299 241 226 188 55 1.9k
Xiangdong Sun China 24 830 0.8× 428 1.4× 261 1.1× 105 0.5× 234 1.2× 72 1.9k
Sung‐Oh Huh South Korea 23 1.4k 1.4× 381 1.3× 140 0.6× 176 0.8× 216 1.1× 77 2.3k
Yejun Tan United States 16 1.1k 1.1× 247 0.8× 189 0.8× 117 0.5× 205 1.1× 37 1.7k
Le Yang China 30 1.2k 1.2× 316 1.1× 204 0.8× 371 1.6× 313 1.7× 117 2.7k
Wei‐Lan Yeh Taiwan 28 938 0.9× 200 0.7× 370 1.5× 152 0.7× 212 1.1× 50 2.1k
Ding‐I Yang Taiwan 30 1.4k 1.4× 697 2.3× 257 1.1× 277 1.2× 374 2.0× 65 2.5k
Jae‐Hoon Bae South Korea 28 722 0.7× 195 0.7× 197 0.8× 147 0.7× 72 0.4× 81 1.7k

Countries citing papers authored by Yasuko Kitagishi

Since Specialization
Citations

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

Fields of papers citing papers by Yasuko Kitagishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuko Kitagishi

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuko Kitagishi. A scholar is included among the top collaborators of Yasuko Kitagishi 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 Yasuko Kitagishi. Yasuko Kitagishi 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.
Ikeda, Yuka, et al.. (2022). Efficacy of probiotics on the modulation of gut microbiota in the treatment of diabetic nephropathy. World Journal of Diabetes. 13(3). 150–160. 20 indexed citations
2.
Ikeda, Yuka, et al.. (2022). Gut Microbiota Potentiates the Effect of Immune Checkpoint Therapy against Cancers. 2(1). 1–15. 2 indexed citations
3.
4.
Ikeda, Yuka, et al.. (2021). Neuroprotection by dipeptidyl-peptidase-4 inhibitors and glucagon-like peptide-1 analogs via the modulation of AKT-signaling pathway in Alzheimer’s disease. World Journal of Biological Chemistry. 12(6). 104–113. 15 indexed citations
5.
Ikeda, Yuka, Mutsumi Murakami, Yukie Nakagawa, et al.. (2020). Diet induces hepatocyte protection in fatty liver disease via modulation of PTEN signaling (Review). Biomedical Reports. 12(6). 295–302. 5 indexed citations
6.
Matsuda, Satoru, Yukie Nakagawa, Yasuko Kitagishi, Atsuko Nakanishi, & Toshiyuki Murai. (2018). Reactive Oxygen Species, Superoxide Dimutases, and PTEN-p53-AKT-MDM2 Signaling Loop Network in Mesenchymal Stem/Stromal Cells Regulation. Cells. 7(5). 36–36. 57 indexed citations
7.
Matsuda, Satoru, et al.. (2018). By using either endogenous or transplanted stem cells, which could you prefer for neural regeneration?. Neural Regeneration Research. 13(10). 1731–1731. 2 indexed citations
8.
Nakano, Noriko, Satoru Matsuda, Mayuko Ichimura‐Shimizu, et al.. (2016). PI3K/AKT signaling mediated by G protein-coupled receptors is involved in neurodegenerative Parkinson's disease (Review). International Journal of Molecular Medicine. 39(2). 253–260. 77 indexed citations
9.
Nakanishi, Atsuko, Akari Minami, Yasuko Kitagishi, Yasunori Ogura, & Satoru Matsuda. (2015). BRCA1 and p53 Tumor Suppressor Molecules in Alzheimer’s Disease. International Journal of Molecular Sciences. 16(2). 2879–2892. 33 indexed citations
10.
Ichimura‐Shimizu, Mayuko, Akari Minami, Noriko Nakano, et al.. (2015). Cigarette smoke may be an exacerbation factor in nonalcoholic fatty liver disease via modulation of the PI3K/AKT pathway. SHILAP Revista de lepidopterología. 2(4). 427–439. 4 indexed citations
11.
Suzuki, Miho, Akari Minami, Atsuko Nakanishi, et al.. (2014). Atherosclerosis and tumor suppressor molecules (Review). International Journal of Molecular Medicine. 34(4). 934–940. 9 indexed citations
12.
Kitagishi, Yasuko, Atsuko Nakanishi, Yasunori Ogura, & Satoru Matsuda. (2014). Dietary regulation of PI3K/AKT/GSK-3β pathway in Alzheimer’s disease. Alzheimer s Research & Therapy. 6(3). 35–35. 190 indexed citations
13.
Minami, Akari, Atsuko Nakanishi, Yasunori Ogura, Yasuko Kitagishi, & Satoru Matsuda. (2014). Connection between Tumor Suppressor BRCA1 and PTEN in Damaged DNA Repair. Frontiers in Oncology. 4. 318–318. 30 indexed citations
14.
Kitagishi, Yasuko & Satoru Matsuda. (2013). Diets involved in PPAR and PI3K/AKT/PTEN pathway may contribute to neuroprotection in a traumatic brain injury. Alzheimer s Research & Therapy. 5(5). 42–42. 41 indexed citations
15.
Kitagishi, Yasuko, Mayumi Kobayashi, & Satoru Matsuda. (2012). Defective DNA repair systems and the development of breast and prostate cancer. International Journal of Oncology. 42(1). 29–34. 19 indexed citations
16.
Kitagishi, Yasuko, et al.. (2012). Roles of PI3K/AKT/GSK3/mTOR Pathway in Cell Signaling of Mental Illnesses. Depression Research and Treatment. 2012. 1–8. 167 indexed citations
17.
Kitagishi, Yasuko, et al.. (2012). Elucidating the regulation of T cell subsets. International Journal of Molecular Medicine. 30(6). 1255–1260. 11 indexed citations
18.
Okumura, Naoko, Hitomi Yoshida, Yuri Nishimura, Yasuko Kitagishi, & Satoru Matsuda. (2011). Terpinolene, a component of herbal sage, downregulates AKT1 expression in K562 cells. Oncology Letters. 3(2). 321–324. 44 indexed citations
19.
Yoshida, Hitomi, Naoko Okumura, Yuri Nishimura, Yasuko Kitagishi, & Satoru Matsuda. (2011). Turmeric and curcumin suppress presenilin 1 protein expression in Jurkat cells. Experimental and Therapeutic Medicine. 2(4). 629–632. 11 indexed citations
20.
Yoshida, Hitomi, Yasuko Kitagishi, Naoko Okumura, et al.. (2011). How do you RUN on?. FEBS Letters. 585(12). 1707–1710. 9 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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