Masako Waki

2.2k total citations
47 papers, 1.2k citations indexed

About

Masako Waki is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Masako Waki has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 13 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Physiology. Recurrent topics in Masako Waki's work include Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Diabetes Treatment and Management (10 papers) and Nutritional Studies and Diet (6 papers). Masako Waki is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Diabetes Treatment and Management (10 papers) and Nutritional Studies and Diet (6 papers). Masako Waki collaborates with scholars based in Japan, United States and Malaysia. Masako Waki's co-authors include Steven B. Heymsfield, Steven W. Lichtman, Richard N. Pierson, John G. Kral, Manolo Mazariegos, Hisao Ogawa, Hideaki Jinnouchi, Yoshihiko Saito, Mary E. Russell and Oscar Contreras Ortiz and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Masako Waki

47 papers receiving 1.2k citations

Peers

Masako Waki
Comparison fields: 5 of 103
  • Physiology 505
  • Surgery 237
  • Cardiology and Cardiovascular Medicine 231
  • Nephrology 224
  • Endocrinology, Diabetes and Metabolism 174
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Citations per field, relative to Masako Waki
Masako Waki · 1×
Citations per year, relative to Masako Waki
Masako Waki · 1×

Countries citing papers authored by Masako Waki

Since Specialization
Citations

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

Fields of papers citing papers by Masako Waki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Waki

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Waki. A scholar is included among the top collaborators of Masako Waki 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 Masako Waki. Masako Waki 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
# Work Indexed citations
1 4
2 4
3 7
4 6
5 4
6
Abstract 15399: The Association of Visit-To-Visit Blood Pressure and Blood Glucose Variability and Incidence of Dementia in Patients With Type 2 Diabetes Mellitus: Insights From the Jpad2 Cohort Study
1
7 89
8 31
9 18
10 11
11 11
12 11
13 3
14
Abstract 1584: Epidemiology of Hemorrhagic and Gastrointestinal Adverse Effects of Low-dose Aspirin for Primary Prevention of Atherosclerotic Events in Type 2 Diabetic Patients: Insights From JPAD Trial
1
15 6
16 244
17 41
18 53
19 2
20 3

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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