Y Oshimi

709 citations
21 papers · 606 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Hematology top 10%

Papers in

Y Oshimi

21 papers receiving 582 citations

Peers

Y Oshimi
Comparison fields: 5 of 73
  • Immunology 418
  • Hematology 71
  • Genetics 67
  • Pathology and Forensic Medicine 75
  • Oncology 103
Replace Bettina Storch with:
Bettina Storch Germany
S. D. Abbot United Kingdom
Patrice Hermann Japan
Yong‐Jun Liu China
Yael Gore Israel
Lourdes Places Spain
Dorottya Kövesdi Hungary
Jeanine Marquet France
K Liszka Austria
Makoto Haino Japan
Y Oshimi relative to Bettina Storch Germany Bettina Storch's profile →
Citations per field
00.5×1.5×1.9×
Bettina Storch · 1×
Citations per year

Countries citing papers authored by Y Oshimi

Since Specialization
Citations

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

Fields of papers citing papers by Y Oshimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996170
2 199582
3 199564
4 198542
5 199042
6 199635
7 198828
8 198826
9 198525
10 199117
11 198817
12 199013
13 198812
14 19889
15 19939
16 19894
17
Lysis of lymphoma cells by cultured large granular lymphocytes.
19854
18
DIFFERENCE IN HUMAN AND MURINE T CELL RESPONSIVENESS TO STAPHYLOCOCCAL ENTEROTOXINS IS DETERMINED BY ACTIVITIES OF MHC CLASS II-POSITIVE CELLS
19962
19 19882
20 19912

About Y Oshimi

Y Oshimi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Hematology and Pathology and Forensic Medicine, having authored 21 papers that have together received 606 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Immunology (418 citations), Hematology (71 citations), Genetics (67 citations), Pathology and Forensic Medicine (75 citations) and Oncology (103 citations). Y Oshimi has collaborated with scholars based in Japan, Pakistan and Ireland. Frequent co-authors include Shun Miyazaki, Kazuo Oshimi, Shoji Oda, Shigekazu Nagata, Yoshiko Honda, Hideaki Mizoguchi, Hiroyuki Mizoguchi, Shunichi Miyazaki, Masahiro Satake and Kenichi Okumura. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Physiology, The Journal of Experimental Medicine and Cellular Immunology.

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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