Sumie Tabata

695 citations
49 papers · 449 · h-index 13

Impact in

Papers in

Sumie Tabata

46 papers receiving 434 citations

Peers

Sumie Tabata
Comparison fields: 5 of 68
  • Hematology 101
  • Pathology and Forensic Medicine 141
  • Genetics 73
  • Immunology 113
  • Oncology 137
Replace Kazuyoshi Kajimoto with:
Kazuyoshi Kajimoto Japan
Nathalie Aladjidi France
Morgane Cheminant France
Yuya Sasaki Japan
Taiji Yokote Japan
László Gopcsa Hungary
Mitsutoshi Kurosawa Japan
J.‐B. Monfort France
Keiki Kawakami Japan
Keisuke Kawamoto Japan
Sumie Tabata relative to Kazuyoshi Kajimoto Japan Kazuyoshi Kajimoto's profile →
Citations per field
00.5×1.5×
Kazuyoshi Kajimoto · 1×
Citations per year

Countries citing papers authored by Sumie Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Sumie Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200563
2 201037
3 201332
4 201027
5 201026
6 201325
7 201323
8 201221
9 201020
10 200919
11 201713
12 201312
13 201612
14 201711
15
IgE-mediated allergy to spider mite, Panonychus citri in occupationally exposed individuals.
199510
16 20147
17 20107
18
[Successful treatment of chronic disseminated intravascular coagulation syndrome with continuous subcutaneous infusion of heparin using a mobile infusion pump: report of 2 cases].
20097
19 20116
20 20096

About Sumie Tabata

Sumie Tabata is a scholar working on Pathology and Forensic Medicine, Hematology, Immunology, Oncology and Genetics, having authored 49 papers that have together received 449 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (5 papers), Multiple Myeloma Research and Treatments (5 papers), T-cell and Retrovirus Studies (5 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (101 citations), Pathology and Forensic Medicine (141 citations), Genetics (73 citations), Immunology (113 citations) and Oncology (137 citations). Sumie Tabata has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Akiko Matsushita, Takayuki Takahashi, Takayuki Ishikawa, Daichi Inoue, Hiroshi Arima, Kenichi Nagai, Yoko Takiuchi, Minako Mori, Yukihiro Imai and Seiji Nagano. Their work appears in journals such as International Journal of Hematology, Journal of Clinical and Experimental Hematopathology, Acta Haematologica, Annals of Hematology and Blood.

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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