Atsuko Masuda

1.1k citations
59 papers · 928 indexed · h-index 19

Impact in

Papers in

Atsuko Masuda

59 papers receiving 898 citations

Peers

Atsuko Masuda
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 193
  • Cancer Research 222
  • Biochemistry 60
  • Biochemistry 47
  • Nutrition and Dietetics 93
Replace M Ficková with:
M Ficková Slovakia
C. Allard France
Abdel‐Raheim M.A. Meki Egypt
Nori Tolosa de Talamoni Argentina
Thiago M. Batista Brazil
Jong‐Yeon Kim South Korea
Ana M. Proenza Spain
Andrea Cláudia Freitas Ferreira Brazil
Sergio Rodríguez‐Cuenca United Kingdom
Kevork Hagopian United States
Atsuko Masuda relative to M Ficková Slovakia M Ficková's profile →
Citations per field
00.5×2.9×
M Ficková · 1×
Citations per year

Countries citing papers authored by Atsuko Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20041
2
Determination of 1-Deoxynojirimycin and 2, 5-Dihydroxymethy13, 4-dihydroxypyrrolidine Contents of Commelina communis var. hortensis and The Antihyperglycemic Activity
20015
3 200121
4 200022
5 199818
6 19966
7 19953
8 199517
9 199314
10 19931
11 199211
12 19924
13 19911
14 19906
15 19902
16 199076
17 19898
18 19896
19 198813
20 198835

About Atsuko Masuda

Atsuko Masuda is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 59 papers that have together received 928 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (15 papers), Heart Rate Variability and Autonomic Control (14 papers), Respiratory Support and Mechanisms (12 papers), High Altitude and Hypoxia (11 papers), Cardiovascular and exercise physiology (5 papers), Circadian rhythm and melatonin (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Bat Biology and Ecology Studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (193 citations), Cancer Research (222 citations), Biochemistry (60 citations), Biochemistry (47 citations) and Nutrition and Dietetics (93 citations). Atsuko Masuda has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Tadashi Oishi, Nobuyuki Ito, Masao Hirose, M Ohshima, Hiroyuki Tsuda, Shoji Fukushima, Harumi Okuyama, Nobuyuki Ito, Yoshiyuki Honda and Seiichiro Kawashima. Their work appears in journals such as Carcinogenesis, Advances in experimental medicine and biology, JNCI Journal of the National Cancer Institute, Cancer Letters and Journal of Experimental Zoology.

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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