Yasuyuki Nakano

1.4k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Yasuyuki Nakano is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Yasuyuki Nakano has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Yasuyuki Nakano's work include Acute Myeloid Leukemia Research (5 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Treatment and Pharmacology (4 papers). Yasuyuki Nakano is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Treatment and Pharmacology (4 papers). Yasuyuki Nakano collaborates with scholars based in Japan, South Korea and United States. Yasuyuki Nakano's co-authors include Hitoshi Kiyoi, Norio Asou, Ryuzo Ohno, Hidehiko Saito, Tomoki Naoe, Saburo Minami, Shuichi Miyawaki, Hideki Akiyama, Kenji Saito and Kazutaka Kuriyama and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Yasuyuki Nakano

17 papers receiving 1.1k 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
Yasuyuki Nakano Japan 9 735 421 307 290 169 18 1.1k
Saman Abbas Netherlands 8 619 0.8× 676 1.6× 142 0.5× 234 0.8× 124 0.7× 10 1.1k
Devendra Hiwase Australia 20 944 1.3× 378 0.9× 296 1.0× 489 1.7× 103 0.6× 107 1.3k
S. Faderl United States 16 882 1.2× 417 1.0× 240 0.8× 393 1.4× 214 1.3× 24 1.2k
Michal Bar‐Natan United States 15 719 1.0× 524 1.2× 312 1.0× 364 1.3× 98 0.6× 41 1.3k
Guo‐Rui Ruan China 17 453 0.6× 412 1.0× 178 0.6× 169 0.6× 194 1.1× 74 827
Hakumei Oh Japan 8 849 1.2× 363 0.9× 305 1.0× 221 0.8× 213 1.3× 15 1.1k
Eijiro Omoto Japan 14 900 1.2× 535 1.3× 190 0.6× 311 1.1× 189 1.1× 45 1.3k
Russell R. Hoover United States 10 352 0.5× 286 0.7× 152 0.5× 226 0.8× 51 0.3× 18 831
I. Quiquandon France 12 459 0.6× 226 0.5× 276 0.9× 210 0.7× 71 0.4× 17 774
Wichai Chinratanalab United States 11 413 0.6× 314 0.7× 512 1.7× 99 0.3× 96 0.6× 48 1.0k

Countries citing papers authored by Yasuyuki Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Yasuyuki Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuyuki Nakano

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

All Works

18 of 18 papers shown
1.
Okamoto, Wataru, Akitaka Makiyama, Yoshiyuki Yamamoto, et al.. (2018). Plasma VEGF-A (pVEGF-A) level in efficacy analysis of metastatic colorectal cancer patients (mCRC) treated with mFOLFOX6/XELOX plus bevacizumab (BV) (WJOG7612GTR).. Journal of Clinical Oncology. 36(4_suppl). 699–699.
2.
Yamamoto, Yoshiyuki, Wataru Okamoto, Akitaka Makiyama, et al.. (2018). Plasma ICAM-1 (pICAM-1) and plasma IL-8 (pIL-8) level as biomarker of metastatic colorectal cancer patients (mCRC) treated with mFOLFOX6/XELOX plus bevacizumab (BV) (WJOG7612GTR).. Journal of Clinical Oncology. 36(4_suppl). 670–670. 4 indexed citations
3.
Hasebe, Noriko, et al.. (2016). A multi‐geochronological study of the Hakusan volcano, central Japan. Island Arc. 25(2). 111–125. 1 indexed citations
4.
Gyawali, Bishal, Tomoya Shimokata, Kazunori Honda, et al.. (2016). Loss of muscle mass associated with the long term use of mTOR inhibitors. Annals of Oncology. 27. vii87–vii87. 1 indexed citations
5.
Gyawali, Bishal, Tomoya Shimokata, Kazunori Honda, et al.. (2016). Muscle wasting associated with the long-term use of mTOR inhibitors. Molecular and Clinical Oncology. 5(5). 641–646. 43 indexed citations
6.
Matsuoka, Ayumu, Osamu Maeda, Yasuyuki Nakano, et al.. (2016). Bevacizumab Exacerbates Paclitaxel-Induced Neuropathy: A Retrospective Cohort Study. PLoS ONE. 11(12). e0168707–e0168707. 16 indexed citations
7.
Kitamura, Kunio, et al.. (2010). [Significance of monitoring WT1 mRNA levels of peripheral blood and bone marrow in acute myeloid leukemia].. PubMed. 51(12). 1748–55. 3 indexed citations
8.
Ishikawa, Yuichi, Hitoshi Kiyoi, Keisuke Watanabe, et al.. (2010). Trough plasma concentration of imatinib reflects BCR–ABL kinase inhibitory activity and clinical response in chronic‐phase chronic myeloid leukemia: A report from the BINGO study. Cancer Science. 101(10). 2186–2192. 45 indexed citations
9.
Hirata, Koichi, N Horikoshi, K. Yamaguchi, et al.. (2006). [Pharmacokinetics of S-1].. PubMed. 33 Suppl 1. 27–35. 2 indexed citations
10.
Nakano, Yasuyuki, Saburo Matsuo, Hiroyuki Tani, Kazumi Sasai, & Eiichiroh Baba. (2006). Therapeutic Effects of .BETA.-Thujaplicin Eardrops on Canine Malassezia-Related Otitis Externa. Journal of Veterinary Medical Science. 68(4). 373–374. 2 indexed citations
11.
Nakano, Yasuyuki, Makoto Wada, Hiroyuki Tani, Kazumi Sasai, & Eiichiroh Baba. (2005). Effects of .BETA.-Thujaplicin on Anti-Malassezia pachydermatis Remedy for Canine Otitis Externa. Journal of Veterinary Medical Science. 67(12). 1243–1247. 20 indexed citations
12.
Nakano, Yasuyuki, Hitoshi Kiyoi, Shinji Kunishima, et al.. (2000). Poor clinical significance of p53 gene polymorphism in acute myeloid leukemia. Leukemia Research. 24(4). 349–352. 20 indexed citations
13.
Nakano, Yasuyuki, Tomoki Naoe, Hitoshi Kiyoi, et al.. (2000). Prognostic value of p53 gene mutations and the product expression in de novo acute myeloid leukemia. European Journal Of Haematology. 65(1). 23–31. 46 indexed citations
14.
Kiyoi, Hitoshi, Tomoki Naoe, Yasuyuki Nakano, et al.. (1999). Prognostic implication of FLT3 and N-RAS gene mutations in acute myeloid leukemia.. Blood. 93(9). 3074–80. 620 indexed citations breakdown →
15.
Nakano, Yasuyuki, et al.. (1999). Molecular evolution of acute myeloid leukaemia in relapse: unstable N‐ras and FLT3 genes compared with p53 gene. British Journal of Haematology. 104(4). 659–664. 96 indexed citations
16.
Hirata, Keiji, N Horikoshi, Kazuki Sasaki, et al.. (1999). Pharmacokinetic study of S-1, a novel oral fluorouracil antitumor drug.. PubMed. 5(8). 2000–5. 203 indexed citations
17.
Nakano, Yasuyuki, et al.. (1996). Clinical evaluation of monotherapy with cefpirome for infections complicating hematological disorders. Journal of Infection and Chemotherapy. 2(2). 75–78. 1 indexed citations
18.
Fujisawa, Shinya, et al.. (1996). Emergence of Nonalbicans Candida Species in Immunocompromised Leukemia Patients during Fluconazole Treatment. Journal of Infection and Chemotherapy. 2(4). 268–270. 1 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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