Kaori Ohmori

32 papers receiving 2.7k citations

Hit Papers

Prognostic significance of the nocturnal decline in blood...200220262010201820022006250500750

Peers

Kaori Ohmori
Comparison fields: 5 of 137
  • Cardiology and Cardiovascular Medicine 836
  • Pathology and Forensic Medicine 701
  • Public Health, Environmental and Occupational Health 408
  • Physiology 356
  • Biochemistry 331
Replace Carmelinda Ruggiero with:
Carmelinda Ruggiero Italy
Ekavi Georgousopoulou Greece
Alice Owen Australia
Mohsen Mazidi United Kingdom
Claude Jeandel France
Naoki Nakaya Japan
Shuang Rong China
Hanna‐Maaria Lakka Finland
J.F. Dartigues France
Oglesby Paul United States
Kaori Ohmori relative to Carmelinda Ruggiero Italy Carmelinda Ruggiero's profile →
Citations per field
00.5×1.6×
Carmelinda Ruggiero · 1×
Citations per year

Countries citing papers authored by Kaori Ohmori

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Ohmori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Ohmori

This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Ohmori. A scholar is included among the top collaborators of Kaori Ohmori 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 Kaori Ohmori. Kaori Ohmori 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 22
3 17
4 21
5 5
6 340
7 2
8 70
9 39
10
Green Tea Consumption and Mortality Due to Cardiovascular Disease, Cancer, and All Causes in Japanbreakdown →
600
11 112
12 85
13
[A survey regarding the implementation of cancer screening among municipalities in Japan].
3
14 18
15 182
16 31
17 36
18 38
19 13
20 71

About Kaori Ohmori

Kaori Ohmori is a scholar working on Neuropsychology and Physiological Psychology, Biochemistry and Health, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (9 papers), Health disparities and outcomes (4 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Biochemistry (331 citations), Biological Psychiatry (111 citations) and Pathology and Forensic Medicine (701 citations). Kaori Ohmori has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Ichiro Tsuji, Taichi Shimazu, Shinichi Kuriyama, Atsushi Hozawa, Yoshitaka Tsubono, Yoshikazu Nishino, Nobutaka Kikuchi, Naoki Nakaya, Takayoshi Ohkubo and Shigeru Hisamichi. Their work appears in journals such as JAMA, American Journal of Clinical Nutrition and Antimicrobial Agents and Chemotherapy.

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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