Shion Imoto

829 citations
49 papers · 604 indexed · h-index 16

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Complement system in diseases

Papers in

    • Acute Myeloid Leukemia Research 12
    • Hematopoietic Stem Cell Transplantation 8
    • Chronic Lymphocytic Leukemia Research 6
    • Hemoglobinopathies and Related Disorders 5

Shion Imoto

47 papers receiving 582 citations

Peers

Shion Imoto
Comparison fields: 5 of 67
  • Hematology 312
  • Immunology 215
  • Genetics 101
  • Transplantation 15
  • Hepatology 28
Replace M Kasai with:
M Kasai Japan
Yasuhiko Miyazaki Japan
Atsushi� Satake Japan
Makito Tanaka Japan
Gergely Kriván Hungary
R. Steffensen Denmark
Laurence Clément France
Shlomit Orgad Israel
N Hirabayashi Japan
Marek Ussowicz Poland
Shion Imoto relative to M Kasai Japan M Kasai's profile →
Citations per field
00.5×1.5×1.8×
M Kasai · 1×
Citations per year

Countries citing papers authored by Shion Imoto

Since Specialization
Citations

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

Fields of papers citing papers by Shion Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201013
2 20054
3 20051
4 200417
5 200414
6 20010
7 200120
8 200127
9 200118
10 20007
11 200060
12 199911
13 19997
14 199618
15 19965
16 19945
17 19944
18 19933
19 199245
20 199115

About Shion Imoto

Shion Imoto is a scholar working on Hematology, Genetics, Immunology, Transplantation and Nephrology, having authored 49 papers that have together received 604 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Immune Cell Function and Interaction (5 papers), Hemoglobinopathies and Related Disorders (5 papers), T-cell and Retrovirus Studies (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Hematology (312 citations), Immunology (215 citations), Genetics (101 citations), Transplantation (15 citations) and Hepatology (28 citations). Shion Imoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Tohru Murayama, Tamio Koizumi, T Sugimoto, Toshitaro Nakagawa, Shunichi Kumagai, Katsuyasu Saigo, Hiranmoy Das, Ryuichiro Nishimura, Takashi Isobe and Kazuyoshi Kajimoto. Their work appears in journals such as British Journal of Haematology, American Journal of Hematology, Bone Marrow Transplantation, Annals of Hematology 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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