S Kusumoto

500 citations
18 papers · 344 indexed · h-index 9

S Kusumoto

18 papers receiving 340 citations

Peers

S Kusumoto
Comparison fields: 5 of 38
  • Hematology 243
  • Genetics 67
  • Emergency Medicine 42
  • Oncology 80
  • Orthopedics and Sports Medicine 21
Replace Margaret M. Showel with:
Margaret M. Showel United States
Janet Hayden United Kingdom
A. G. Bynoe United Kingdom
M Masi Italy
Sairah Alvi United States
V. Shetty United States
M. T. Daniel France
D. Snyder United States
Michael Heinsch Germany
P Lemež Czechia
S Kusumoto relative to Margaret M. Showel United States Margaret M. Showel's profile →
Citations per field
00.5×1.5×
Margaret M. Showel · 1×
Citations per year

Countries citing papers authored by S Kusumoto

Since Specialization
Citations

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

Fields of papers citing papers by S Kusumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 200343
2 200323
3 200249
4 20014
5
[CD7(+) acute myeloid leukemia (M0) associated with a mediastinal bulky mass lesion].
20011
6 200046
7 19992
8 19993
9 199974
10 199913
11
[The importance of WT1 gene expression in the detection of minimal residual disease. A comparison of WT1 AML1/MTG8 transcripts].
19991
12 199826
13 199711
14 199738
15
[Refractory anemia with excess of blasts (RAEB) with a high level of HbF that preceded apparent pancytopenia].
19961
16
Magnetic Resonance Imaging of the Bone Marrow of Patients with Aplastic Anemia and Myelodysplastic Syndrome.
19921
17 19906
18
[Aspergillosis of the maxillary sinus in a patient with Ph1 positive acute lymphoblastic leukemia: a case report].
19902

About S Kusumoto

S Kusumoto is a scholar working on Hematology, Otorhinolaryngology and Emergency Medicine, having authored 18 papers that have together received 344 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hematological disorders and diagnostics (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Antifungal resistance and susceptibility (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Bone and Joint Diseases (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Hematology (243 citations), Genetics (67 citations) and Emergency Medicine (42 citations). S Kusumoto has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Masami Bessho, Itsuro Jinnai, I Murohashi, Norio Asou, Fumiharu Yagasaki, Toshiko Motoji, Kazutaka Kuriyama, Kunitake Hirashima, Hideki Akiyama and Kenji Saito. Their work appears in journals such as British Journal of Haematology, Leukemia and Genes Chromosomes and Cancer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026