Maki Hirao

511 total citations
20 papers, 412 citations indexed

About

Maki Hirao is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Maki Hirao has authored 20 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Maki Hirao's work include Multiple Myeloma Research and Treatments (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Acute Myeloid Leukemia Research (2 papers). Maki Hirao is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Acute Myeloid Leukemia Research (2 papers). Maki Hirao collaborates with scholars based in Japan, United States and Germany. Maki Hirao's co-authors include Jeff Posakony, Antonio Bedalov, Julian A. Simon, Manfred Jung, Hitoshi Shiozaki, Masatoshi Inoue, Yuichiro� Doki, Morito Monden, Makoto Osada and Yutaka Hattori and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Maki Hirao

16 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maki Hirao Japan 7 205 123 94 62 39 20 412
Massimo Ghizzoni Netherlands 9 281 1.4× 27 0.2× 68 0.7× 26 0.4× 57 1.5× 9 400
Jose Muñoz-Olaya Spain 5 306 1.5× 21 0.2× 28 0.3× 64 1.0× 45 1.2× 7 394
Enrique García‐Villa Mexico 13 305 1.5× 97 0.8× 10 0.1× 103 1.7× 150 3.8× 27 528
T.‐C. Hsieh United States 9 177 0.9× 84 0.7× 35 0.4× 17 0.3× 59 1.5× 12 399
Maura McDonnell United States 2 320 1.6× 29 0.2× 28 0.3× 317 5.1× 70 1.8× 4 522
Timothy H. Carter United States 9 380 1.9× 17 0.1× 112 1.2× 63 1.0× 86 2.2× 13 519
Claudia Roessler Germany 9 184 0.9× 327 2.7× 28 0.3× 187 3.0× 74 1.9× 10 480
Caterina Bartolacci Italy 11 224 1.1× 32 0.3× 25 0.3× 20 0.3× 78 2.0× 15 345
Daniela L. Papademetrio Argentina 13 249 1.2× 15 0.1× 20 0.2× 141 2.3× 67 1.7× 18 436

Countries citing papers authored by Maki Hirao

Since Specialization
Citations

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

Fields of papers citing papers by Maki Hirao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Hirao

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Hirao. A scholar is included among the top collaborators of Maki Hirao 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 Maki Hirao. Maki Hirao 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.
Sugimori, Hiroki, Naoko Ito, Ataru Igarashi, et al.. (2025). Association of health literacy with quality of life and health outcomes among school-age children in Japan: A cross-sectional study. PLoS ONE. 20(5). e0324456–e0324456.
2.
Matsushita, Maiko, et al.. (2023). Immunomodulatory Effect of Proteasome Inhibitors via the Induction of Immunogenic Cell Death in Myeloma Cells. Pharmaceuticals. 16(10). 1367–1367. 6 indexed citations
3.
Ito, Naoko, et al.. (2023). Factors Associated with Refraining from Health Checkups during the COVID-19 Pandemic in Japan. Healthcare. 11(17). 2385–2385.
4.
Sato, Mariko, Hiromu Sugiyama, Yutaka Suto, et al.. (2023). GTN057, a komaroviquinone derivative, induced myeloma cells' death in vivo and inhibited c‐MET tyrosine kinase. Cancer Medicine. 12(8). 9749–9759. 3 indexed citations
5.
6.
Sugimori, Hiroki, Maki Hirao, Ataru Igarashi, et al.. (2022). Health state utilities of patients with hepatitis B and C and hepatitis-related conditions in Japan. Scientific Reports. 12(1). 17139–17139. 2 indexed citations
7.
Hirao, Maki, Kentaro Watanabe, Yuiko Tsukada, et al.. (2022). Rare evolution of CSF3R-mutated chronic neutrophilic leukemia to t(4;12)(q12;p13) acute myeloid leukemia with SETBP1 mutation. Leukemia Research Reports. 17. 100311–100311. 2 indexed citations
8.
Maeda, Eri, Osamu Hiraike, Hiroki Sugimori, et al.. (2022). Working conditions contribute to fertility-related quality of life: a cross-sectional study in Japan. Reproductive BioMedicine Online. 45(6). 1285–1295. 4 indexed citations
9.
Hirao, Maki, Yuiko Tsukada, Yu Iwabuchi, et al.. (2022). Philadelphia Chromosome-positive Acute Lymphoblastic Leukemia Incidentally Detected by Fluorodeoxyglucose-positron Emission Tomography/Computed Tomography at a Health Checkup. Internal Medicine. 61(18). 2775–2778. 1 indexed citations
10.
Hirao, Maki, Takahide Kikuchi, Yuiko Tsukada, et al.. (2022). [PAX5-positive plasma cell leukemia presenting as lymphocytosis].. PubMed. 63(10). 1415–1420.
11.
Funakoshi, Shinsuke, Gen Sakai, Maki Hirao, et al.. (2021). [Incidence of Secondary Malignancy of Chronic Myeloid Leukemia during Treatment of Breast Cancer with Hormone Therapy].. Gan to kagaku ryōhō. 48(1). 73–75.
12.
Osada, Makoto, Keiko Maruyama, Koichi Kokame, et al.. (2021). A novel homozygous variant of the thrombomodulin gene causes a hereditary bleeding disorder. Blood Advances. 5(19). 3830–3838. 9 indexed citations
13.
Sasaki, Toshinori, Mayumi Matsuoka, Takuya Yamagishi, et al.. (2021). Detection of <i>Bartonella quintana</i> Infection among the Homeless Population in Tokyo, Japan, from 2013–2015. Japanese Journal of Infectious Diseases. 74(5). 411–415. 6 indexed citations
14.
Sato, Mariko, Daiju Ichikawa, Maiko Matsushita, et al.. (2018). A novel derivative (GTN024) from a natural product, komaroviquinone, induced the apoptosis of high-risk myeloma cells via reactive oxygen production and ER stress. Biochemical and Biophysical Research Communications. 505(3). 787–793. 5 indexed citations
15.
Yamamoto, Tomofumi, et al.. (2018). Immunomodulatory Effects of Proteasome Inhibitors in Multiple Myeloma. Blood. 132(Supplement 1). 1946–1946. 1 indexed citations
16.
Hirao, Maki, Yuiko Tsukada, Takahide Kikuchi, et al.. (2013). Primary HER2-Positive Lacrimal SAC Cancer. Annals of Oncology. 24. ix84–ix84. 1 indexed citations
17.
Posakony, Jeff, et al.. (2004). Inhibitors of Sir2:  Evaluation of Splitomicin Analogues. Journal of Medicinal Chemistry. 47(10). 2635–2644. 140 indexed citations
18.
Hirao, Maki, et al.. (2003). Identification of Selective Inhibitors of NAD+-dependent Deacetylases Using Phenotypic Screens in Yeast. Journal of Biological Chemistry. 278(52). 52773–52782. 61 indexed citations
19.
Bedalov, Antonio, et al.. (2003). NAD+-Dependent Deacetylase Hst1p Controls Biosynthesis and Cellular NAD+ Levels in Saccharomyces cerevisiae. Molecular and Cellular Biology. 23(19). 7044–7054. 110 indexed citations
20.
Shiozaki, Hitoshi, et al.. (1998). Characterization of soluble E-cadherin as a disease marker in gastric cancer patients. British Journal of Cancer. 78(8). 1095–1101. 60 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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