Yumiko Nitta

488 citations
34 papers · 419 indexed · h-index 9

Yumiko Nitta

33 papers receiving 401 citations

Peers

Yumiko Nitta
Comparison fields: 5 of 98
  • Radiation 25
  • Molecular Biology 197
  • Biochemistry 15
  • Immunology and Allergy 15
  • Radiology, Nuclear Medicine and Imaging 49
Replace S. J. Hirst with:
S. J. Hirst United Kingdom
A. Ndoye France
Yukihiro Miwa Japan
Yukihiko Kohda Japan
Cecelia B. Latham United States
Tao Yin China
T. H. Jackson United States
Shorafidinkhuja Dadakhujaev South Korea
Lucia Gaddini Italy
Paul B. Dieffenbach United States
Yumiko Nitta relative to S. J. Hirst United Kingdom S. J. Hirst's profile →
Citations per field
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S. J. Hirst · 1×
Citations per year

Countries citing papers authored by Yumiko Nitta

Since Specialization
Citations

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

Fields of papers citing papers by Yumiko Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Relationship between the characteristics of therapy goat and children and older people
20192
2
Effect of Joyful and Anxiety-Provoking Music on Autonomic Nervous System Function
20176
3 20172
4
Epidemiological Study of Eating Habit of Middle-Aged and Elderly Women: Mihara and Hiroshima Questionnaire Study
20171
5
Influences of High-Resolution Music Box Sounds on the Peripheral Vascular System
20161
6
Usefulness of the Touch Panel-type Dementia Assessment Scale (TDAS) and Evaluation of Correlation between Hemoglobin A1c and TDAS in Middle-Aged and Older Women
20132
7
Changes in bone mineral density and metabolism in women: evaluation of bodily characteristics, bone metabolic markers and bone mineral density.
20135
8 200824
9 20053
10 20044
11 20024
12 20025
13 20015
14 200073
15 19993
16 19984
17 199214
18 19917
19 199120
20 1989140

About Yumiko Nitta

Yumiko Nitta is a scholar working on Complementary and Manual Therapy, Sensory Systems and Neurology, having authored 34 papers that have together received 419 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (5 papers), DNA Repair Mechanisms (4 papers), Radiation Therapy and Dosimetry (3 papers), Radiation Dose and Imaging (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Radiation (25 citations), Molecular Biology (197 citations) and Biochemistry (15 citations). Yumiko Nitta has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Kenjiro Yokoro, Masatoshi Takeichi, Jo Peters, Jill A. Rafael, Kay E. Davies, Kenji Kamiya, Fumiko Ishizaki, Masaharu Hoshi, Toshihide Harada and Ohtsura Niwa.

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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