Kiyoshi Asada

1.8k total citations
38 papers, 1.3k citations indexed

About

Kiyoshi Asada is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Kiyoshi Asada has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Kiyoshi Asada's work include Epigenetics and DNA Methylation (12 papers), Liver Disease Diagnosis and Treatment (9 papers) and Cancer-related gene regulation (8 papers). Kiyoshi Asada is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Liver Disease Diagnosis and Treatment (9 papers) and Cancer-related gene regulation (8 papers). Kiyoshi Asada collaborates with scholars based in Japan, United States and United Kingdom. Kiyoshi Asada's co-authors include Toshikazu Ushijima, Masao Ichinose, Takeichi Yoshida, Takayuki Ando, Toshiro Sugiyama, Masae Tatematsu, Shotaro Enomoto, Hitoshi Yoshiji, Tadashi Namisaki and Mitsuteru Kitade and has published in prestigious journals such as Hepatology, Cancer Research and Oncogene.

In The Last Decade

Kiyoshi Asada

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Asada Japan 19 696 355 327 252 220 38 1.3k
Shuguang Zhu China 17 493 0.7× 264 0.7× 240 0.7× 160 0.6× 118 0.5× 48 1.1k
Yang-Hsiang Lin Taiwan 24 834 1.2× 153 0.4× 683 2.1× 161 0.6× 185 0.8× 59 1.3k
Yunfeng Shan China 20 627 0.9× 233 0.7× 403 1.2× 209 0.8× 168 0.8× 67 1.2k
Xuelong Jiao China 18 442 0.6× 201 0.6× 295 0.9× 155 0.6× 96 0.4× 43 926
Yukihiko Matsuda Japan 17 622 0.9× 320 0.9× 340 1.0× 151 0.6× 233 1.1× 38 1.4k
Loredana Ciuclan United Kingdom 14 509 0.7× 191 0.5× 171 0.5× 559 2.2× 250 1.1× 23 1.3k
Andria D’Orazio Italy 21 452 0.6× 287 0.8× 212 0.6× 205 0.8× 297 1.4× 30 1.6k
Sara Heebøll Denmark 14 365 0.5× 138 0.4× 203 0.6× 184 0.7× 575 2.6× 32 1.1k
Minoru Shigekawa Japan 19 502 0.7× 230 0.6× 132 0.4× 107 0.4× 295 1.3× 63 1.2k
Yifeng He China 20 445 0.6× 411 1.2× 303 0.9× 140 0.6× 338 1.5× 53 1.4k

Countries citing papers authored by Kiyoshi Asada

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Asada

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Asada. A scholar is included among the top collaborators of Kiyoshi Asada 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 Kiyoshi Asada. Kiyoshi Asada 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.
Uchida, Kazutaka, Yoshinori Akiyama, Takashi Yoshida, et al.. (2025). Outcome after Endovascular Treatment of Patients with Ruptured Cerebral Aneurysm over 90 Years of Age. Neurologia medico-chirurgica. 65(3). 148–154.
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Hattori, Naoko, Kiyoshi Asada, Akiko Mori, et al.. (2021). Combination of a synthetic retinoid and a DNA demethylating agent induced differentiation of neuroblastoma through retinoic acid signal reprogramming. British Journal of Cancer. 125(12). 1647–1656. 3 indexed citations
5.
Asada, Kiyoshi, Yosuke Aihara, Hiroaki Takaya, et al.. (2016). DNA methylation of angiotensin II receptor gene in nonalcoholic steatohepatitis-related liver fibrosis. World Journal of Hepatology. 8(28). 1194–1194. 5 indexed citations
6.
Nishimura, Norihisa, Mitsuteru Kitade, Ryuichi Noguchi, et al.. (2016). Ipragliflozin, a sodium–glucose cotransporter 2 inhibitor, ameliorates the development of liver fibrosis in diabetic Otsuka Long–Evans Tokushima fatty rats. Journal of Gastroenterology. 51(12). 1141–1149. 36 indexed citations
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Asada, Kiyoshi, Takeshi Nakajima, Taichi Shimazu, et al.. (2014). Demonstration of the usefulness of epigenetic cancer risk prediction by a multicentre prospective cohort study. Gut. 64(3). 388–396. 108 indexed citations
9.
Yamada, Masayoshi, Takeo Fukagawa, Takeshi Nakajima, et al.. (2013). Hereditary diffuse gastric cancer in a Japanese family with a large deletion involving CDH1. Gastric Cancer. 17(4). 750–756. 27 indexed citations
10.
Ito, Yuriko, Yasuhide Yamada, Kiyoshi Asada, et al.. (2013). EGFR L2 domain mutation is not correlated with resistance to cetuximab in metastatic colorectal cancer patients. Journal of Cancer Research and Clinical Oncology. 139(8). 1391–1396. 3 indexed citations
11.
Asada, Kiyoshi, Masanobu Abe, & Toshikazu Ushijima. (2013). Clinical application of the CpG island methylator phenotype to prognostic diagnosis in neuroblastomas. Journal of Human Genetics. 58(7). 428–433. 15 indexed citations
12.
Asada, Kiyoshi, Naoko Watanabe, Yohko Nakamura, et al.. (2013). Stronger Prognostic Power of the CpG Island Methylator Phenotype than Methylation of Individual Genes in Neuroblastomas. Japanese Journal of Clinical Oncology. 43(6). 641–645. 12 indexed citations
13.
Asada, Kiyoshi, Takayuki Ando, Tohru Niwa, et al.. (2012). FHL1 on chromosome X is a single-hit gastrointestinal tumor-suppressor gene and contributes to the formation of an epigenetic field defect. Oncogene. 32(17). 2140–2149. 40 indexed citations
14.
Nanjo, Sohachi, Kiyoshi Asada, Satoshi Yamashita, et al.. (2012). Identification of gastric cancer risk markers that are informative in individuals with past H. pylori infection. Gastric Cancer. 15(4). 382–388. 32 indexed citations
15.
Ushijima, Toshikazu & Kiyoshi Asada. (2009). Aberrant DNA methylation in contrast with mutations. Cancer Science. 101(2). 300–305. 85 indexed citations
16.
Ando, Takayuki, Takeichi Yoshida, Shotaro Enomoto, et al.. (2008). DNA methylation of microRNA genes in gastric mucosae of gastric cancer patients: Its possible involvement in the formation of epigenetic field defect. International Journal of Cancer. 124(10). 2367–2374. 227 indexed citations
17.
Asada, Kiyoshi, Yashige Kotake, Deborah Saunders, et al.. (2006). LINE‐1 Hypomethylation in a Choline‐Deficiency‐Induced Liver Cancer in Rats: Dependence on Feeding Period. BioMed Research International. 2006(1). 17142–17142. 40 indexed citations
18.
Kitade, Mitsuteru, Hitoshi Yoshiji, Hideyuki Kojima, et al.. (2006). Leptin‐mediated neovascularization is a prerequisite for progression of nonalcoholic steatohepatitis in rats†. Hepatology. 44(4). 983–991. 122 indexed citations
19.
Miyamoto, Kazuaki, Kiyoshi Asada, Takashi Fukutomi, et al.. (2003). Methylation-associated silencing of heparan sulfate D-glucosaminyl 3-O-sulfotransferase-2 (3-OST-2) in human breast, colon, lung and pancreatic cancers. Oncogene. 22(2). 274–280. 111 indexed citations
20.
Asada, Kiyoshi, Kazuaki Miyamoto, Takashi Fukutomi, et al.. (2003). Reduced Expression of <i>GNA11</i> and Silencing of <i>MCT1</i> in Human Breast Cancers. Oncology. 64(4). 380–388. 57 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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