Nobukuni Sawai

894 citations
28 papers · 713 indexed · h-index 15
  • Hematology top 5%
    • Platelet Disorders and Treatments 13
    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 4
  • Immunology top 10%
    • Mast cells and histamine 5
    • Immunodeficiency and Autoimmune Disorders 3
  • Genetics top 10%
    • Virus-based gene therapy research 4
    • Chronic Lymphocytic Leukemia Research 4
    • Blood disorders and treatments 3
  • Genetics top 10%
    • Virus-based gene therapy research 4
    • Chronic Lymphocytic Leukemia Research 4
    • Blood disorders and treatments 3

Nobukuni Sawai

28 papers receiving 707 citations

Peers

Nobukuni Sawai
Comparison fields: 5 of 67
  • Hematology 227
  • Immunology 294
  • Immunology and Allergy 70
  • Genetics 102
  • Genetics 197
Replace T Nakahata with:
T Nakahata Japan
N. Ghanem France
Munetake Shimabe Japan
Junko Suda Japan
Cathy Quilici Australia
Jonathan Keller United States
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AL Mui Canada
CA Sieff United States
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Citations per field
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T Nakahata · 1×
Citations per year

Countries citing papers authored by Nobukuni Sawai

Since Specialization
Citations

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

Fields of papers citing papers by Nobukuni Sawai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200844
2 20036
3 2003100
4 200321
5 200199
6 20006
7 200033
8 19993
9 19994
10 199948
11 199965
12
Lupus nephritis in juvenile myelomonocytic leukemia.
19998
13 19993
14 199937
15 199822
16 19988
17 19981
18 199719
19 199711
20
[Abnormalities in regulation system of granulopoiesis].
19931

About Nobukuni Sawai

Nobukuni Sawai is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 28 papers that have together received 713 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Mast cells and histamine (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (4 papers), Virus-based gene therapy research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Hematology (227 citations), Immunology (294 citations) and Immunology and Allergy (70 citations). Nobukuni Sawai has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Kenichi Koike, Brian P. Sorrentino, Tsukasa Higuchi, Thomas P. Brent, Atsushi Komiyama, Tatsuya Kinoshita, Sheng Zhou, Tetsuji Yamashita, Derek A. Persons and Masaaki Shiohara. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences and Stem Cells.

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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