Fujihiko Iwata

2.1k citations
40 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers)Obesity, Physical Activity, Diet (10 papers)Lipoproteins and Cardiovascular Health (9 papers)
Partner nations
JapanChinaBrazil

In The Last Decade

Fujihiko Iwata

39 papers receiving 1.6k citations

Hit Papers

Gitelman's variant of Barter's syndrome, inherited hypoka...19962026200620161996250500750

Peers

Fujihiko Iwata
Comparison fields: 5 of 88
  • Molecular Biology 889
  • Nutrition and Dietetics 428
  • Endocrinology, Diabetes and Metabolism 381
  • Pulmonary and Respiratory Medicine 334
  • Public Health, Environmental and Occupational Health 274
Replace Haykanush Gevorgyan with:
Haykanush Gevorgyan United States
Po‐Yin Chu Australia
Jean‐Philippe Bastard France
H. D. Battarbee United States
Ming‐Chia Hsieh Taiwan
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Fujihiko Iwata relative to Haykanush Gevorgyan United States Haykanush Gevorgyan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fujihiko Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Fujihiko Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fujihiko Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Fujihiko Iwata. A scholar is included among the top collaborators of Fujihiko Iwata 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 Fujihiko Iwata. Fujihiko Iwata 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
#WorkIndexed citations
1 2
2 11
3 2
4 5
5 11
6 27
7 4
8 13
9 1
10 8
11 133
12 28
13 9
14 36
15 19
16 7
17
Gitelman's variant of Barter's syndrome, inherited hypokalaemic alkalosis, is caused by mutations in the thiazide-sensitive Na–Cl cotransporterbreakdown →
894
18 11
19 10
20 11

About Fujihiko Iwata

Fujihiko Iwata is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Physiology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Obesity, Physical Activity, Diet (10 papers) and Lipoproteins and Cardiovascular Health (9 papers). The work is most often cited by research in Nephrology (204 citations), Nutrition and Dietetics (428 citations) and Endocrinology, Diabetes and Metabolism (381 citations). Fujihiko Iwata has collaborated with scholars based in Japan, China and Brazil. Frequent co-authors include Tomoo Okada, Kensuke Harada, Mitsuhiko Hara, M. I. Koolen, Richard P. Lifton, Fiona E. Karet, Hillel J. Gitelman, Antonio Morey Molina, David B. Simon and Francisco Javier Gainza Ríos. Their work appears in journals such as Nature Genetics, American Journal of Clinical Nutrition and Clinica Chimica Acta.

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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