Itaru Urakawa

5.1k total citations · 1 hit paper
22 papers, 3.6k citations indexed

About

Itaru Urakawa is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Itaru Urakawa has authored 22 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Nephrology and 9 papers in Genetics. Recurrent topics in Itaru Urakawa's work include Parathyroid Disorders and Treatments (12 papers), Genetic Syndromes and Imprinting (8 papers) and Fibroblast Growth Factor Research (7 papers). Itaru Urakawa is often cited by papers focused on Parathyroid Disorders and Treatments (12 papers), Genetic Syndromes and Imprinting (8 papers) and Fibroblast Growth Factor Research (7 papers). Itaru Urakawa collaborates with scholars based in Japan, Singapore and United States. Itaru Urakawa's co-authors include Takashi Shimada, Seiji Fukumoto, Takeyoshi Yamashita, Toshiro Fujita, Hisashi Hasegawa, Katsuya Okawa, Y. Yamazaki, Yuji Yamazaki, Takashi Yoneya and Yasuhiro Takeuchi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Itaru Urakawa

21 papers receiving 3.6k citations

Hit Papers

Klotho converts canonical FGF receptor into a specific re... 2006 2026 2012 2019 2006 400 800 1.2k

Peers

Itaru Urakawa
Comparison fields: 5 of 85
  • Nephrology 2.9k
  • Genetics 1.8k
  • Molecular Biology 1.3k
  • Nutrition and Dietetics 723
  • Pathology and Forensic Medicine 709
Replace Rosamund McNair with:
Rosamund McNair United Kingdom
Despina Sitara United States
Renata C. Pereira United States
Kazuhiro Shiizaki Japan
Joanne L. Reynolds United Kingdom
Koichi Oba Japan
Hiroshi Kaito Japan
Shinsuke Kido Japan
Takao Obara Japan
Gary S. Gottesman United States
Rosamund McNair United Kingdom View profile →
Citations per field, relative to Itaru Urakawa
Itaru Urakawa · 1×
Citations per year, relative to Itaru Urakawa
Itaru Urakawa · 1×

Countries citing papers authored by Itaru Urakawa

Since Specialization
Citations

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

Fields of papers citing papers by Itaru Urakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itaru Urakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Itaru Urakawa. A scholar is included among the top collaborators of Itaru Urakawa 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 Itaru Urakawa. Itaru Urakawa 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
# Work Indexed citations
1 1
2 0
3 6
4 14
5 16
6 20
7 251
8 124
9 197
10 184
11 155
12
Klotho converts canonical FGF receptor into a specific receptor for FGF23 breakdown →
1435
13 1
14 11
15 273
16 340
17 336
18 92
19 19
20 2

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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