Anna Maruyama

481 citations
29 papers · 359 · h-index 10

Impact in

Papers in

Anna Maruyama

28 papers receiving 335 citations

Peers

Anna Maruyama
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 79
  • Cardiology and Cardiovascular Medicine 118
  • Endocrinology, Diabetes and Metabolism 82
  • Hepatology 28
  • Nephrology 21
Replace Yu-Chung Tsao with:
Yu-Chung Tsao Taiwan
J. Gaddie United Kingdom
Klaas Franzen Germany
James A. O’Hare Ireland
Audrey Joyce Foka Cameroon
Silvia Fabiana Benozzi Argentina
Gisela Unger Argentina
Charlotte Bragg United States
Peera Buranakitjaroen Thailand
Anna Maruyama relative to Yu-Chung Tsao Taiwan Yu-Chung Tsao's profile →
Citations per field
00.5×3.8×
Yu-Chung Tsao · 1×
Citations per year

Countries citing papers authored by Anna Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982136
2 201630
3 201330
4 198123
5 201522
6 198118
7 198113
8 198111
9 197911
10 19799
11 19807
12
[Determination of plasma renin activity using gammer coat [125I] PRA kit (author's transl)].
19806
13 19786
14 20155
15 19994
16 19804
17 19794
18 19784
19
Familial Bartter's syndrome.
19823
20 19803

About Anna Maruyama

Anna Maruyama is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 359 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Renin-Angiotensin System Studies (5 papers), Blood Pressure and Hypertension Studies (5 papers), Vitamin K Research Studies (3 papers), Sodium Intake and Health (3 papers), Hepatitis C virus research (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (79 citations), Cardiology and Cardiovascular Medicine (118 citations), Endocrinology, Diabetes and Metabolism (82 citations), Hepatology (28 citations) and Nephrology (21 citations). Anna Maruyama has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Toshio Ogihara, Takeshi Hata, Y Kumahara, Hiroshi Mikami, Mitsuaki Nakamaru, Charles A. Nugent, Elizabeth M. Borycki, Scott Macdonald, Jinhui Zhao and Trana Hussaini. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The Journal of Clinical Endocrinology & Metabolism, Journal of the American Geriatrics Society, Clinical Science and Life Sciences.

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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