Norio Asou

8.9k total citations · 1 hit paper
180 papers, 4.8k citations indexed

About

Norio Asou is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Norio Asou has authored 180 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Hematology, 60 papers in Molecular Biology and 47 papers in Immunology. Recurrent topics in Norio Asou's work include Acute Myeloid Leukemia Research (91 papers), Acute Lymphoblastic Leukemia research (33 papers) and T-cell and Retrovirus Studies (31 papers). Norio Asou is often cited by papers focused on Acute Myeloid Leukemia Research (91 papers), Acute Lymphoblastic Leukemia research (33 papers) and T-cell and Retrovirus Studies (31 papers). Norio Asou collaborates with scholars based in Japan, United States and Singapore. Norio Asou's co-authors include Kiyoshi Takatsuki, Hitoshi Suzushima, Toshio Hattori, Hitoshi Kiyoi, Motomi Osato, Ryuzo Ohno, Kazutaka Kuriyama, Hidehiko Saito, Tomoki Naoe and Yoshiaki Ito and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Norio Asou

175 papers receiving 4.7k citations

Hit Papers

Prognostic implication of FLT3 and N-RAS gene mutations i... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norio Asou Japan 34 2.9k 2.4k 1.0k 836 783 180 4.8k
François Sigaux France 30 989 0.3× 1.8k 0.7× 1.1k 1.1× 542 0.6× 954 1.2× 76 3.8k
Kinuko Mitani Japan 41 2.9k 1.0× 3.8k 1.6× 863 0.8× 863 1.0× 1.1k 1.3× 202 6.3k
Tomohiko Taki Japan 36 1.8k 0.6× 2.4k 1.0× 328 0.3× 432 0.5× 402 0.5× 127 3.7k
Miller Cw United States 28 295 0.1× 1.3k 0.5× 497 0.5× 159 0.2× 1.2k 1.5× 59 2.5k
Nobuyoshi Arima Japan 23 409 0.1× 428 0.2× 979 1.0× 221 0.3× 421 0.5× 88 1.9k
J F Daley United States 35 603 0.2× 930 0.4× 3.2k 3.2× 541 0.6× 921 1.2× 57 4.7k
Hélène Merle‐Béral France 37 434 0.2× 1.1k 0.5× 1.7k 1.6× 1.6k 1.9× 874 1.1× 157 4.3k
Mitsuru Tsudo Japan 27 287 0.1× 532 0.2× 2.1k 2.1× 258 0.3× 862 1.1× 75 3.1k
JD Griffin United States 25 2.1k 0.7× 1.3k 0.5× 1.9k 1.9× 545 0.7× 1.2k 1.5× 61 4.7k
Francine M. Foss United States 32 670 0.2× 775 0.3× 1.7k 1.7× 341 0.4× 1.0k 1.3× 128 3.7k

Countries citing papers authored by Norio Asou

Since Specialization
Citations

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

Fields of papers citing papers by Norio Asou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Asou

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Asou. A scholar is included among the top collaborators of Norio Asou 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 Norio Asou. Norio Asou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matsumura, Takayoshi, Ayako Nakamura‐Ishizu, Darren Qiancheng Tan, et al.. (2020). Hematopoietic stem cells acquire survival advantage by loss of RUNX1 methylation identified in familial leukemia. Blood. 136(17). 1919–1932. 22 indexed citations
2.
Kohri, Mika, Kunihiro Tsukasaki, Naoki Takahashi, et al.. (2020). Peripheral T-cell lymphoma with gastrointestinal involvement and indolent T-lymphoproliferative disorders of the gastrointestinal tract. Leukemia Research. 91. 106336–106336. 15 indexed citations
3.
Takaku, Tomoiku, Noriyoshi Iriyama, Michihide Tokuhira, et al.. (2018). Features of vascular adverse events in Japanese patients with chronic myeloid leukemia treated with tyrosine kinase inhibitors: a retrospective study of the CML Cooperative Study Group database. Annals of Hematology. 97(11). 2081–2088. 21 indexed citations
4.
Iriyama, Noriyoshi, Michihide Tokuhira, Tomoiku Takaku, et al.. (2017). Incidences and outcomes of therapy-related chronic myeloid leukemia in the era of tyrosine kinase inhibitors: Surveillance of the CML Cooperative Study Group. Leukemia Research. 54. 55–58. 13 indexed citations
5.
Matsuda, Akira, Itsuro Jinnai, Takaya Ichimura, et al.. (2015). Proposal of criteria for dyserythropoiesis in the diagnosis of myelodysplastic syndromes. International Journal of Hematology. 103(2). 227–233. 2 indexed citations
6.
Nin, Dawn Sijin, Azhar Ali, Kōichi Okumura, et al.. (2013). Akt-Induced Phosphorylation of N-CoR at Serine 1450 Contributes to Its Misfolded Conformational Dependent Loss (MCDL) in Acute Myeloid Leukemia of the M5 Subtype. PLoS ONE. 8(8). e70891–e70891. 4 indexed citations
8.
Nanri, Tomoko, Naofumi Matsuno, Toshiro Kawakita, et al.. (2004). Mutations in the Receptor Tyrosine Kinase Pathway Are Associated with Clinical Outcome in Patients with Acute Myeloblastic Leukemia Harboring t(8;21)(q22;q22).. Blood. 104(11). 3000–3000. 1 indexed citations
9.
Asou, Norio. (2003). The role of a Runt domain transcription factor AML1/RUNX1 in leukemogenesis and its clinical implications. Critical Reviews in Oncology/Hematology. 45(2). 129–150. 58 indexed citations
10.
Matsuno, Naofumi, Motomi Osato, Naoto Yamashita, et al.. (2003). Dual mutations in the AML1 and FLT3 genes are associated with leukemogenesis in acute myeloblastic leukemia of the M0 subtype. Leukemia. 17(12). 2492–2499. 43 indexed citations
11.
Suzuki, Ritsuro, Makoto Murata, Masahiro Kami, et al.. (2001). AML M0.の明確なサブタイプである骨髄/NK前駆細胞急性白血病. Blood. 98(11). 460. 2 indexed citations
12.
Asou, Norio, Motomi Osato, Toshiya Okubo, et al.. (1998). Acute Myelomonoblastic Leukemia Carrying the PEBP2β/MYH11 Fusion Gene. Leukemia & lymphoma. 31(1-2). 81–91. 6 indexed citations
13.
Matsudaira, Mitsuo & Norio Asou. (1998). Development of on Objective Evaluation Equation of the Comfort for Women's Autumn/Winter Pajamas.. 39(2). 117–123.
14.
Asou, Norio, Motomi Osato, Kentaro Horikawa, et al.. (1997). Burkitt's type acute lymphoblastic transformation associated with t(8;14) in a case of B cell chronic lymphocytic leukemia.. PubMed. 11(11). 1986–8. 10 indexed citations
16.
Takatsuki, Kiyoshi, Toshio Hattori, K Yamaguchi, et al.. (1991). [Biomolecular aspects of adult T-cell leukemia].. PubMed. 18(7). 1112–7. 1 indexed citations
18.
Sanada, Isao, et al.. (1989). Acute myelogenous leukemia (FAB M1) associated with t(5;16) and eosinophilia. Cancer Genetics and Cytogenetics. 43(1). 139–141. 20 indexed citations
19.
Sakai, Kenji, Toshio Hattori, Masao Matsuoka, et al.. (1987). Autocrine stimulation of interleukin 1 beta in acute myelogenous leukemia cells.. The Journal of Experimental Medicine. 166(5). 1597–1602. 60 indexed citations
20.
Kawano, Fumio, K Yamaguchi, Híromichi Nishimura, et al.. (1984). [Heterogeneity in the clinical courses of adult T-cell leukemia. Proposal for subtypes of ATL].. PubMed. 25(3). 305–12. 2 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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