Kento Kitada

2.3k citations
69 papers · 1.9k · h-index 22

Impact in

Papers in

Kento Kitada

64 papers receiving 1.8k citations

Peers

Kento Kitada
Comparison fields: 5 of 101
  • Nephrology 347
  • Endocrinology, Diabetes and Metabolism 357
  • Nutrition and Dietetics 249
  • Cardiology and Cardiovascular Medicine 330
  • Physiology 359
Replace Carlos Pablo Vio with:
Carlos Pablo Vio Chile
Daisuke Nagata Japan
Marcus Baumann Germany
Hirobumi Tokuyama Japan
T Oyama United States
En Yin Lai China
Takeshi Kanda Japan
Sabina M. Baumgartner-Parzer Austria
George Seki Japan
Henry Diep Australia
Kento Kitada relative to Carlos Pablo Vio Chile Carlos Pablo Vio's profile →
Citations per field
00.5×2×3.4×
Carlos Pablo Vio · 1×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016184
2 2017167
3 2014129
4 2017125
5 2012112
6 202098
7 201881
8 201256
9 201552
10 202148
11 202147
12 201046
13 201946
14 201343
15 202442
16 202040
17 201435
18 200935
19 201734
20 201928

About Kento Kitada

Kento Kitada is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Nutrition and Dietetics, Nephrology and Cardiology and Cardiovascular Medicine, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (16 papers), Sodium Intake and Health (11 papers), Diet and metabolism studies (7 papers), Renin-Angiotensin System Studies (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Blood Pressure and Hypertension Studies (5 papers), Birth, Development, and Health (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Nephrology (347 citations), Endocrinology, Diabetes and Metabolism (357 citations), Nutrition and Dietetics (249 citations), Cardiology and Cardiovascular Medicine (330 citations) and Physiology (359 citations). Kento Kitada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Akira Nishiyama, Daisuke Nakano, Hirofumi Hitomi, Yasuo Matsumura, Jens Marc Titze, Hiroyuki Kobori, Mamoru Ohkita, Tsutomu Masaki, Adriana Marton and Hiroyuki Ohsaki. Their work appears in journals such as Hypertension Research, Journal of Pharmacological Sciences, Clinical and Experimental Pharmacology and Physiology, Scientific Reports 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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