Kimiyoshi Ichida

9.3k total citations · 1 hit paper
162 papers, 5.3k citations indexed

About

Kimiyoshi Ichida is a scholar working on Nephrology, Molecular Biology and Surgery. According to data from OpenAlex, Kimiyoshi Ichida has authored 162 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Nephrology, 60 papers in Molecular Biology and 36 papers in Surgery. Recurrent topics in Kimiyoshi Ichida's work include Gout, Hyperuricemia, Uric Acid (113 papers), Alcohol Consumption and Health Effects (35 papers) and Metabolism and Genetic Disorders (30 papers). Kimiyoshi Ichida is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (113 papers), Alcohol Consumption and Health Effects (35 papers) and Metabolism and Genetic Disorders (30 papers). Kimiyoshi Ichida collaborates with scholars based in Japan, Czechia and Türkiye. Kimiyoshi Ichida's co-authors include Tatsuo Hosoya, Hitoshi Endou, Makoto Hosoyamada, Atsushi Enomoto, Hirotaka Matsuo, Ichiro Hisatome, Michio Takeda, Hiroaki Kimura, Miho Hikita and Promsuk Jutabha and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kimiyoshi Ichida

157 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular identification of a renal urate–anion exchanger that regulates blood urate levels

2002 1.1k citations Atsushi Enomoto, Hiroaki Kimura et al. profile →

Peers

Kimiyoshi Ichida

NEPHR

MB

PFM

SURGE

RHEUM

Makoto Hosoyamada Japan

María Dolores Sánchez-Niño Spain

Promsuk Jutabha Japan

Carmen Mora‐Fernández Spain

Wilfred Lieberthal United States

Songming Huang China

Tetsuhiro Tanaka Japan

Robert Safirstein United States

Zac Varghese United Kingdom

Qingqing Wei United States

Makoto Hosoyamada Japan

Kimiyoshi Ichida

2.9k ×0.8

NEPHR

1.6k ×0.8

MB

1.3k ×0.8

PFM

865 ×0.8

SURGE

449 ×0.6

RHEUM

Citations per year, relative to Kimiyoshi Ichida Kimiyoshi Ichida (= 1×) peers Makoto Hosoyamada

Countries citing papers authored by Kimiyoshi Ichida

Since Specialization

Citations

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

Fields of papers citing papers by Kimiyoshi Ichida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimiyoshi Ichida

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ichida, Kimiyoshi, et al.. (2024). Cryopreservation of the whole testes of Asian sea bass (Lates calcarifer) and its effects on apoptosis, germ cell-specific gene expression, germ cell transplantability, and DNA methylation. Theriogenology. 229. 178–190.

2.

Sugihara, Shinobu, Satoshi Miyazaki, Kazuhíde Oginö, et al.. (2024). Annual change in eGFR in renal hypouricemia: a retrospective pilot study. Clinical and Experimental Nephrology. 29(2). 173–181. 1 indexed citations

3.

Nakayama, Akiyoshi, Masafumi Kurajoh, Yu Toyoda, et al.. (2023). Dysuricemia. Biomedicines. 11(12). 3169–3169. 10 indexed citations

4.

Nakayama, Akiyoshi, Yusuke Kawamura, Yu Toyoda, et al.. (2021). Genetic epidemiological analysis of hypouricaemia from 4993 Japanese on non-functional variants of URAT1/SLC22A12 gene. Lara D. Veeken. 61(3). 1276–1281. 10 indexed citations

5.

Toyoda, Yu, Yusuke Kawamura, Akiyoshi Nakayama, et al.. (2021). Substantial anti-gout effect conferred by common and rare dysfunctional variants of URAT1/SLC22A12. Lara D. Veeken. 60(11). 5224–5232. 12 indexed citations

6.

Toyoda, Yu, Tappei Takada, Hiroshi Miyata, et al.. (2020). Identification of GLUT12/SLC2A12 as a urate transporter that regulates the blood urate level in hyperuricemia model mice. Proceedings of the National Academy of Sciences. 117(31). 18175–18177. 28 indexed citations

7.

Sakiyama, Masayuki, Hirotaka Matsuo, A Akashi, et al.. (2017). Independent effects of ADH1B and ALDH2 common dysfunctional variants on gout risk. Scientific Reports. 7(1). 2500–2500. 13 indexed citations

8.

Stibůrková, Blanka, Ivan Šebesta, Kimiyoshi Ichida, et al.. (2013). Novel allelic variants and evidence for a prevalent mutation in URAT1 causing renal hypouricemia: biochemical, genetics and functional analysis. European Journal of Human Genetics. 21(10). 1067–1073. 50 indexed citations

9.

Watanabe, Tamaki, Naoko H. Tomioka, Makiko Nakamura, et al.. (2013). . 37(1). 61–61. 1 indexed citations

10.

Tamura, Yoshifuru, Tomoko Shima, Shigeyuki Arai, et al.. (2013). . 37(1). 48–49. 2 indexed citations

11.

Shinohara, Yoshihiko, et al.. (2012). . 36(1). 41–41. 1 indexed citations

12.

Lagziel, Ayala, David Levartovsky, Oded Sperling, Kimiyoshi Ichida, & Hava Peretz. (2006). Polymorphic Markers in the XDH Gene as Diagnostic Tools for Typing Classical Xanthinuria. Kluwer Academic Publishers eBooks. 486. 83–86. 2 indexed citations

13.

Ichida, Kimiyoshi, Halil İbrahim Aydın, Makoto Hosoyamada, et al.. (2006). A Turkish Case with Molybdenum Cofactor Deficiency. Nucleosides Nucleotides & Nucleic Acids. 25(9-11). 1087–1091. 9 indexed citations

14.

Hosoya, Tatsuo, Yuichiro Yamaguchi, Hiroaki Kimura, et al.. (2004). Hyperuricemia and gout in Down's syndrome. 28(1). 19–26. 1 indexed citations

15.

Ichida, Kimiyoshi, Makoto Hosoyamada, Ichiro Hisatome, et al.. (2004). Clinical and Molecular Analysis of Patients with Renal Hypouricemia in Japan-Influence of URAT1 Gene on Urinary Urate Excretion. Journal of the American Society of Nephrology. 15(1). 164–173. 299 indexed citations

16.

Ichida, Kimiyoshi. (2003). [Hereditary xanthinuria and molybdenum cofactor deficiency].. PubMed. 61 Suppl 1. 377–82. 1 indexed citations

17.

Hikita, Miho, et al.. (2002). Long-term effects of angiotensin II receptor antagonist losartan on uric acid metabolism in hyperuricemic patients. 26(1). 25–32. 1 indexed citations

18.

Ichida, Kimiyoshi, et al.. (2001). Urate transport via hOAT4. 25(2). 113–120. 3 indexed citations

19.

Kimura, Hiroaki, et al.. (2000). Analysis of uric acid transport via hOAT3.. 24(2). 115–121. 5 indexed citations

20.

Hosoya, Tatsuo, et al.. (1995). Newly Discovered Familial Juvenile Gouty Nephropathy in a Japanese Family. The Nephron journals/Nephron journals. 70(3). 359–366. 10 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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