Y Nishimura

15 papers receiving 294 citations

Peers

Y Nishimura
Comparison fields: 5 of 67
  • Endocrinology 30
  • Molecular Medicine 24
  • Cell Biology 62
  • Physiology 17
  • Genetics 78
Replace Ariel Basulto Perdomo with:
Ariel Basulto Perdomo Italy
Zita Nagy France
Christian Therrien Canada
Reiko Akakura United States
Yamini M. Ohol United States
Anne Clancy Germany
Osamu Hosomi Japan
Anne Norris United States
Renate R. Scholle South Africa
Vishnu Mohanan United States
Y Nishimura relative to Ariel Basulto Perdomo Italy Ariel Basulto Perdomo's profile →
Citations per field
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Ariel Basulto Perdomo · 1×
Citations per year

Countries citing papers authored by Y Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Y Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20123
2 200922
3
[Extraabdominal desmoid tumor of the chest wall].
20071
4 200126
5
[A case of HTLV-I associated myelopathy with abnormal patchy MRI lesions in the spinal cord].
20002
6 199831
7 19971
8 19955
9 19956
10 199337
11 199292
12
Successful treatment with low dose Ara-C in de novo acute myeloid leukemia with trilineage myelodysplasia.
19921
13 199043
14 199022
15 198912

About Y Nishimura

Y Nishimura is a scholar working on Filtration and Separation, Biotechnology, Cell Biology, Immunology and Biophysics, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), T-cell and Retrovirus Studies (2 papers), Enzyme Production and Characterization (2 papers), Acute Myeloid Leukemia Research (1 paper), Calpain Protease Function and Regulation (1 paper), Cancer Research and Treatments (1 paper), Erythrocyte Function and Pathophysiology (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Endocrinology (30 citations), Molecular Medicine (24 citations), Cell Biology (62 citations), Physiology (17 citations) and Genetics (78 citations). Y Nishimura has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Suguru Tsuchimoto, Eiichi Ohtsubo, Bonnie F. Sloane, Mansoureh Sameni, Genjiro Hirose, Yasuko Terada, Yuko Ueda, Akira Yoshioka, Akihiro Inazu and Hiroshi Mabuchi. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Journal of Bacteriology, Journal of Alloys and Compounds, Radiation Research and Experimental Cell Research.

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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2026