Kiriko Wada

528 total citations
21 papers, 413 citations indexed

About

Kiriko Wada is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Kiriko Wada has authored 21 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Kiriko Wada's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Diabetes Treatment and Management (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Kiriko Wada is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Diabetes Treatment and Management (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). Kiriko Wada collaborates with scholars based in Japan and United States. Kiriko Wada's co-authors include Takeo Kato, Shinji Susa, Makoto Daimon, Toshihide Oizumi, Wataru Kameda, Shigeru Karasawa, Yumi Jimbu, Isao Kubota, Masaaki Muramatsu and Sumio Kawata and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Diabetologia and Metabolism.

In The Last Decade

Kiriko Wada

20 papers receiving 399 citations

Peers

Kiriko Wada

EDM

GENET

EPIDE

PHYSI

Masanori Shimodaira Japan

Beata Matyjaszek‐Matuszek Poland

Koh Yamashita Japan

Olimpia Arellano‐Campos Mexico

C Grohé Germany

Chihiro Horimai Japan

Bozena Krolewski United States

Eric Boerwinkle United States

Franck Péan France

Stefan‐Martin Brand‐Herrmann Germany

Masanori Shimodaira Japan

Kiriko Wada

121 ×0.8

178 ×1.3

EDM

49 ×0.5

GENET

77 ×1.3

EPIDE

53 ×0.9

PHYSI

Citations per year, relative to Kiriko Wada Kiriko Wada (= 1×) peers Masanori Shimodaira

Countries citing papers authored by Kiriko Wada

Since Specialization

Citations

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

Fields of papers citing papers by Kiriko Wada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiriko Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Kiriko Wada. A scholar is included among the top collaborators of Kiriko Wada 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 Kiriko Wada. Kiriko Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Daimon, Makoto, Hidenori Sato, Kaoru Takase, et al.. (2013). Association of the G-protein β3 subunit gene polymorphism with the incidence of cardiovascular disease independent of hypertension: the Funagata study. Journal of Human Hypertension. 27(10). 612–616. 7 indexed citations

Daimon, Makoto, Satoshi Sasaki, Shigeru Karasawa, et al.. (2013). Lower physical activity is a risk factor for a clustering of metabolic risk factors in non-obese and obese Japanese subjects: The Takahata study. Endocrine Journal. 60(5). 617–628. 8 indexed citations

Daimon, Makoto, Tomoyoshi Soga, Atsushi Hozawa, et al.. (2012). Serum Glycerophosphate Levels are Increased in Japanese Men with Type 2 Diabetes. Internal Medicine. 51(6). 545–551. 7 indexed citations

Suzuki, Shigeru, Masafumi Koga, Kiriko Wada, et al.. (2011). Glycated albumin but not HbA1c reflects glycaemic control in patients with neonatal diabetes mellitus. Diabetologia. 54(9). 2247–2253. 36 indexed citations

Daimon, Makoto, Tsuneo Konta, Toshihide Oizumi, et al.. (2011). Higher plasma renin activity is a risk factor for total mortality in older Japanese individuals: the Takahata study. Metabolism. 61(4). 504–511. 18 indexed citations

Oizumi, Toshihide, Makoto Daimon, Shigeru Karasawa, et al.. (2011). Assessment of plasma glucose cutoff values to predict the development of type 2 diabetes in a Japanese sample: the Funagata Study. Diabetology International. 2(1). 26–31. 2 indexed citations

Daimon, Makoto, Toshihide Oizumi, Shigeru Karasawa, et al.. (2010). Association of the clusterin gene polymorphisms with type 2 diabetes mellitus. Metabolism. 60(6). 815–822. 45 indexed citations

Karasawa, Shigeru, Makoto Daimon, Satoshi Sasaki, et al.. (2010). Association of the Common Fat Mass and Obesity Associated (FTO) Gene Polymorphism with Obesity in a Japanese Population. Endocrine Journal. 57(4). 293–301. 51 indexed citations

Nakagami, Tomoko, Naoko Tajima, Toshihide Oizumi, et al.. (2009). Raised fasting plasma glucose a better predictor of diabetes than the IDF definition of the metabolic syndrome. Diabetes Research and Clinical Practice. 85(2). e19–e21. 2 indexed citations

10.

Wada, Kiriko, Kunihiko Maeda, Katsushi Tajima, et al.. (2009). Expression of BAFF‐R and TACI in reactive lymphoid tissues and B‐cell lymphomas. Histopathology. 54(2). 221–232. 24 indexed citations

11.

Daimon, Makoto, Toshihide Oizumi, Sayumi Toriyama, et al.. (2009). Association of the Ser326Cys polymorphism in the OGG1 gene with type 2 DM. Biochemical and Biophysical Research Communications. 386(1). 26–29. 30 indexed citations

12.

Nakagami, Tomoko, Naoko Tajima, Toshihide Oizumi, et al.. (2009). Hemoglobin A1c in predicting progression to diabetes. Diabetes Research and Clinical Practice. 87(1). 126–131. 27 indexed citations

13.

Daimon, Makoto, Hidenori Sato, Satoshi Sasaki, et al.. (2008). Salt consumption-dependent association of the GNB3 gene polymorphism with type 2 DM. Biochemical and Biophysical Research Communications. 374(3). 576–580. 24 indexed citations

14.

Susa, Shinji, Makoto Daimon, Jun‐ichi Sakabe, et al.. (2008). A functional polymorphism of the TNF-α gene that is associated with type 2 DM. Biochemical and Biophysical Research Communications. 369(3). 943–947. 19 indexed citations

15.

Oizumi, Toshihide, Makoto Daimon, Yumi Jimbu, et al.. (2008). Impaired glucose tolerance is a risk factor for stroke in a Japanese sample—the Funagata study. Metabolism. 57(3). 333–338. 40 indexed citations

16.

Daimon, Makoto, Hidenori Sato, Toshihide Oizumi, et al.. (2007). Association of the PIK3C2G gene polymorphisms with type 2 DM in a Japanese population. Biochemical and Biophysical Research Communications. 365(3). 466–471. 54 indexed citations

17.

Mitsui, Hiroko, et al.. (2005). A case of primary biliary cirrhosis accompanied with fibrinogen storage disease. Pathology - Research and Practice. 201(4). 341–345. 3 indexed citations

18.

Maeda, Kunihiko, Tomoko Takahashi, Kiriko Wada, et al.. (2005). Interdigitating Cell Sarcoma-A report of an autopsy case and literature review-. Journal of Clinical and Experimental Hematopathology. 45(1). 37–44. 10 indexed citations

19.

Takakura, Yasuto, Yusuke Takahashi, Masahiro Ikeda, et al.. (1996). [Infections mononucleosis with pleural effusion].. PubMed. 37(8). 719–24.

20.

Uoshima, Nobuhiko, Shin Iinuma, Shunsuke Kimura, et al.. (1991). [Acute unclassified leukemia with bone marrow necrosis].. PubMed. 32(1). 61–6. 4 indexed citations

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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