Hideaki Sakabe

580 total citations
10 papers, 473 citations indexed

About

Hideaki Sakabe is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Hideaki Sakabe has authored 10 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Hideaki Sakabe's work include Immune Cell Function and Interaction (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Hideaki Sakabe is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Hideaki Sakabe collaborates with scholars based in Japan. Hideaki Sakabe's co-authors include Yoshiaki Sonoda, Takafumi Kimura, Tadamitsu Kishimoto, Haruo Sugiyama, Toshihiro Soma, Hiroya Tamaki, Toyoshi Tatekawa, Kazushi Inoue, Hiroyasu Ogawa and Tamotsu Yamagami and has published in prestigious journals such as Blood, Stem Cells and British Journal of Haematology.

In The Last Decade

Hideaki Sakabe

10 papers receiving 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hideaki Sakabe Japan 7 269 173 159 133 102 10 473
Luk Cox Belgium 9 195 0.7× 115 0.7× 99 0.6× 59 0.4× 71 0.7× 12 432
P Lemež Czechia 10 174 0.6× 436 2.5× 105 0.7× 62 0.5× 276 2.7× 27 575
Markéta Kalinová Czechia 13 300 1.1× 232 1.3× 121 0.8× 44 0.3× 296 2.9× 38 581
LC Bowman United States 6 128 0.5× 156 0.9× 153 1.0× 48 0.4× 63 0.6× 7 424
Hollie Devine United States 7 257 1.0× 343 2.0× 146 0.9× 131 1.0× 47 0.5× 9 524
M. S. De Propris Italy 11 92 0.3× 194 1.1× 130 0.8× 151 1.1× 108 1.1× 16 432
A. R. Zander Germany 8 102 0.4× 332 1.9× 137 0.9× 186 1.4× 102 1.0× 16 555
Chantal Doyen Belgium 11 152 0.6× 253 1.5× 109 0.7× 241 1.8× 96 0.9× 21 476
J.P. Jouet France 6 178 0.7× 492 2.8× 142 0.9× 39 0.3× 120 1.2× 9 545
Sofia von Palffy Sweden 7 137 0.5× 271 1.6× 94 0.6× 100 0.8× 153 1.5× 11 440

Countries citing papers authored by Hideaki Sakabe

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Sakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Sakabe

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Sakabe. A scholar is included among the top collaborators of Hideaki Sakabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideaki Sakabe. Hideaki Sakabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Matsumoto, Yosuke, Ken‐ichi Nomura, Mitsushige Nakao, et al.. (2004). Detection of t(14;18) in follicular lymphoma by dual-color fluorescence in situ hybridization on paraffin-embedded tissue sections. Cancer Genetics and Cytogenetics. 150(1). 22–26. 38 indexed citations
2.
Sakabe, Hideaki, et al.. (2004). [Successful treatment of long-standing iron-deficiency anemia in adults by eradication of Helicobacter pylori].. PubMed. 45(5). 402–4. 3 indexed citations
3.
Yagi, Yuki, et al.. (2004). [A hairy B cell lymphoproliferative disorder resembling hairy cell leukemia].. PubMed. 45(4). 312–5. 2 indexed citations
4.
Sakabe, Hideaki, Masamichi Bamba, Ken‐ichi Nomura, et al.. (2003). MALT Lymphoma at the Base of the Tongue Developing without any Background of Immunodeficiency or Autoimmune Disease. Leukemia & lymphoma. 44(5). 875–878. 13 indexed citations
5.
Sakabe, Hideaki, Takafumi Kimura, Hitoshi Minamiguchi, et al.. (1998). Haematopoietic action of flt3 ligand on cord blood‐derived CD34‐positive cells expressing different levels of flt3 or c‐kit tyrosine kinase receptor: comparison with stem cell factor. European Journal Of Haematology. 60(5). 297–306. 11 indexed citations
6.
Sonoda, Yoshiaki, Takafumi Kimura, Hideaki Sakabe, et al.. (1997). Action of human interleukin‐4 and stem cell factor on erythroid and mixed colony formation by peripheral blood‐derived CD34+c‐kithigh or CD34+c‐kitlow cells. British Journal of Haematology. 96(4). 781–789. 5 indexed citations
7.
Sonoda, Yoshiaki, Takafumi Kimura, Hideaki Sakabe, et al.. (1997). Human FLT3 ligand acts on myeloid as well as multipotential progenitors derived from purified CD34+ blood progenitors expressing different levels of c‐kit protein. European Journal Of Haematology. 58(4). 257–264. 15 indexed citations
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10.
Inoue, Kazushi, Hiroyasu Ogawa, Yoshiaki Sonoda, et al.. (1997). Aberrant Overexpression of the Wilms Tumor Gene (WT1) in Human Leukemia. Blood. 89(4). 1405–1412. 298 indexed citations

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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