Kunitoshi Iseki

7.7k total citations · 1 hit paper
9 papers, 3.7k citations indexed

About

Kunitoshi Iseki is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kunitoshi Iseki has authored 9 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Kunitoshi Iseki's work include Dialysis and Renal Disease Management (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Kunitoshi Iseki is often cited by papers focused on Dialysis and Renal Disease Management (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Kunitoshi Iseki collaborates with scholars based in Japan, South Africa and United States. Kunitoshi Iseki's co-authors include Chih‐Wei Yang, Saraladevi Naicker, Li Zuo, Vivekanand Jha, Rajiv Saran, Guillermo García-García, Angela Yee‐Moon Wang, Brett Plattner, Koshiro Fukiyama and Yorio Kimura and has published in prestigious journals such as The Lancet, Food Chemistry and Kidney International.

In The Last Decade

Kunitoshi Iseki

9 papers receiving 3.6k 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.

Chronic kidney disease: global dimension and perspectives

2013 3.2k citations Vivekanand Jha, Guillermo García-García et al. The Lancet profile →

Peers

Kunitoshi Iseki

NEPHR

CCM

MB

EPIDE

SURGE

Brett Plattner United States

Jennifer Hirst United Kingdom

Tzong‐Shinn Chu Taiwan

Chih‐Wei Yang Taiwan

Der‐Cherng Tarng Taiwan

Magdalena Madero Mexico

Todd W.B. Gehr United States

W. Stephen Waring United Kingdom

Evangelia Dounousi Greece

Guillermo García-García Mexico

Brett Plattner United States

Kunitoshi Iseki

1.6k ×0.9

NEPHR

412 ×0.8

CCM

440 ×0.9

MB

338 ×0.7

EPIDE

383 ×1.0

SURGE

Citations per year, relative to Kunitoshi Iseki Kunitoshi Iseki (= 1×) peers Brett Plattner

Countries citing papers authored by Kunitoshi Iseki

Since Specialization

Citations

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

Fields of papers citing papers by Kunitoshi Iseki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunitoshi Iseki

This figure shows the co-authorship network connecting the top 25 collaborators of Kunitoshi Iseki. A scholar is included among the top collaborators of Kunitoshi Iseki 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 Kunitoshi Iseki. Kunitoshi Iseki 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:

9 of 9 papers shown

1.

Kohagura, Kentaro, Hisatomi Arima, Hitoshi Miyasato, et al.. (2018). Add-On Effect of Angiotensin Receptor Blockade (Candesartan) on Clinical Remission in Active IgA Nephropathy Patients Treated with Steroid Pulse Therapy and Tonsillectomy: a Randomized, Parallel-Group Comparison Trial. Kidney & Blood Pressure Research. 43(3). 780–792. 8 indexed citations

2.

Jha, Vivekanand, Guillermo García-García, Kunitoshi Iseki, et al.. (2013). Chronic kidney disease: global dimension and perspectives. The Lancet. 382(9888). 260–272. 3155 indexed citations breakdown →

3.

Kurokawa, Takanori, Yuji Saito, Shin Oikawa, et al.. (2008). In vitro and in vivo antioxidant properties of ferulic acid: A comparative study with other natural oxidation inhibitors. Food Chemistry. 114(2). 466–471. 190 indexed citations

4.

Yasuda, Satoru, et al.. (2007). The inhibitory effects of fluoroquinolones on l-carnitine transport in placental cell line BeWo. International Journal of Pharmaceutics. 351(1-2). 113–118. 14 indexed citations

5.

Tana, Takeshi, et al.. (2005). Two unusual cases of Anderson-Fabry disease in a Japanese family. Clinical Nephrology. 63(5). 390–393. 1 indexed citations

6.

Iseki, Kunitoshi, Hajime Uehara, Kiyoyuki Tokuyama, et al.. (2004). Outcome study of renal biopsy patients in Okinawa, Japan. Kidney International. 66(3). 914–919. 37 indexed citations

7.

Iseki, Kunitoshi, et al.. (2001). Evidence for high incidence of end-stage renal disease in patients after stroke and acute myocardial infarction at age 60 or younger. American Journal of Kidney Diseases. 38(6). 1235–1239. 13 indexed citations

8.

Iseki, Kunitoshi & Koshiro Fukiyama. (2000). Clinical demographics and long‐term prognosis after stroke in patients on chronic haemodialysis. Nephrology Dialysis Transplantation. 15(11). 1808–1813. 103 indexed citations

9.

Iseki, Kunitoshi, et al.. (1993). Evidence for high risk of cerebral hemorrhage in chronic dialysis patients. Kidney International. 44(5). 1086–1090. 183 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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