Masahiro Kikuya

19.4k citations
286 papers · 11.3k indexed · 3 hit papers · h-index 51

Masahiro Kikuya

279 papers receiving 10.9k citations

Hit Papers

Prognostic accuracy of day versus night ambulatory blood ...6601998202620072016250500750

Peers

Masahiro Kikuya
Comparison fields: 5 of 139
  • Cardiology and Cardiovascular Medicine 9.0k
  • Nutrition and Dietetics 1.4k
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Nephrology 460
  • Endocrine and Autonomic Systems 411
Replace Paolo Palatini with:
Paolo Palatini Italy
Cesare Cuspidi Italy
Satoshi Hoshide Japan
Antti Jula Finland
Samer S. Najjar United States
Cristina Giannattasio Italy
Elaine M. Urbina United States
Hirohito Metoki Japan
Giuseppe Mancia Italy
Yuhei Kawano Japan
Masahiro Kikuya relative to Paolo Palatini Italy Paolo Palatini's profile →
Citations per field
00.5×3.6×
Paolo Palatini · 1×
Citations per year

Countries citing papers authored by Masahiro Kikuya

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Kikuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masahiro Kikuya, 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 Masahiro Kikuya Line = papers co-authored together Masahiro Kikuya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20240
4 20233
5 20236
6 20202
7 20204
8 20206
9 20209
10 20185
11 201718
12 20177
13 20179
14 20177
15 201711
16 201012
17 200913
18 200832
19 2007161
20 20073

About Masahiro Kikuya

Masahiro Kikuya is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 286 papers that have together received 11.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (180 papers), Heart Rate Variability and Autonomic Control (116 papers), Cardiovascular Health and Disease Prevention (86 papers), Hormonal Regulation and Hypertension (34 papers), Sodium Intake and Health (28 papers), Cardiovascular Syncope and Autonomic Disorders (21 papers), Birth, Development, and Health (20 papers) and Nutritional Studies and Diet (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (9.0k citations), Nutrition and Dietetics (1.4k citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). Masahiro Kikuya has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Takayoshi Ohkubo, Yutaka Imai, Hirohito Metoki, Kei Asayama, Hiroshi Satoh, Junichiro Hashimoto, Kazuhito Totsune, Taku Obara, Haruhisa Hoshi and Atsushi Hozawa. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

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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