Kento Kitada

2.2k citations
60 papers · 1.3k · h-index 20

Impact in

Papers in

Kento Kitada

55 papers receiving 1.3k citations

Peers

Kento Kitada
Comparison fields: 5 of 95
  • Nephrology 253
  • Endocrinology, Diabetes and Metabolism 344
  • Cardiology and Cardiovascular Medicine 325
  • Physiology 309
  • Biochemistry 80
Replace Henry Diep with:
Henry Diep Australia
Li Yao Japan
Nancy J. Hong United States
Maciej Jankowski Poland
T Oyama United States
Jan M. Williams United States
Wakako Kawarazaki Japan
Yukihiro Takemura Japan
Satoru Tatematsu Japan
Toshio Ohtsubo Japan
Kento Kitada relative to Henry Diep Australia Henry Diep's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kento Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Kento Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kento Kitada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kento Kitada Line = papers co-authored together Kento Kitada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014121
2 2017113
3 2012107
4 202087
5 201870
6 201252
7 201548
8 201044
9 201341
10 202139
11 202037
12 201435
13 200934
14 201730
15 202025
16 201725
17 201925
18 202024
19 201221
20 201020

About Kento Kitada

Kento Kitada is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Surgery, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Sodium Intake and Health (13 papers), Diet and metabolism studies (8 papers), Birth, Development, and Health (7 papers), Renin-Angiotensin System Studies (6 papers), Thermoregulation and physiological responses (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Nephrology (253 citations), Endocrinology, Diabetes and Metabolism (344 citations), Cardiology and Cardiovascular Medicine (325 citations), Physiology (309 citations) and Biochemistry (80 citations). Kento Kitada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Akira Nishiyama, Daisuke Nakano, Hirofumi Hitomi, Jens Titze, Hiroyuki Kobori, Yasuo Matsumura, Mamoru Ohkita, Tsutomu Masaki, Adriana Marton and Hiroyuki Ohsaki. Their work appears in journals such as Journal of Pharmacological Sciences, Hypertension Research, Scientific Reports, Clinical and Experimental Pharmacology and Physiology and Kidney International.

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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