Makoto Kodaira

2.7k total citations
70 papers, 2.0k citations indexed

About

Makoto Kodaira is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Makoto Kodaira has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 23 papers in Pulmonary and Respiratory Medicine and 18 papers in Surgery. Recurrent topics in Makoto Kodaira's work include Sarcoma Diagnosis and Treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and HER2/EGFR in Cancer Research (6 papers). Makoto Kodaira is often cited by papers focused on Sarcoma Diagnosis and Treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and HER2/EGFR in Cancer Research (6 papers). Makoto Kodaira collaborates with scholars based in Japan, United States and United Kingdom. Makoto Kodaira's co-authors include Kan Yonemori, Kenji Tamura, Mayu Yunokawa, Yasuhiro Fujiwara, Chikako Shimizu, Hitoshi Tsuda, Akihiko Yoshida, Harukaze Yamamoto, Takahisa Furuta and Nobuyoshi Hiraoka and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Makoto Kodaira

68 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Kodaira Japan 22 855 643 627 320 276 70 2.0k
Su‐Jin Shin South Korea 23 947 1.1× 852 1.3× 461 0.7× 392 1.2× 193 0.7× 153 2.2k
Friedrich Prall Germany 28 1.5k 1.7× 439 0.7× 479 0.8× 590 1.8× 241 0.9× 80 2.4k
Jörg Nährig Germany 27 650 0.8× 486 0.8× 636 1.0× 363 1.1× 565 2.0× 51 2.1k
Jhingook Kim South Korea 29 839 1.0× 960 1.5× 581 0.9× 582 1.8× 165 0.6× 108 2.4k
W. J. Mooi Netherlands 26 1.2k 1.4× 840 1.3× 1.1k 1.7× 432 1.4× 195 0.7× 60 2.7k
W. Grigioni Italy 24 725 0.8× 642 1.0× 636 1.0× 376 1.2× 354 1.3× 59 2.3k
Giovanni Schinzari Italy 27 1.5k 1.7× 761 1.2× 501 0.8× 393 1.2× 104 0.4× 116 2.2k
Moritz Jesinghaus Germany 25 1.1k 1.3× 409 0.6× 395 0.6× 492 1.5× 161 0.6× 92 2.0k
Norihiro Masuda Japan 32 853 1.0× 812 1.3× 1.1k 1.8× 1.1k 3.3× 236 0.9× 80 2.7k
Tatsuya Yoshida Japan 23 1.3k 1.6× 1.3k 2.0× 469 0.7× 556 1.7× 167 0.6× 168 2.5k

Countries citing papers authored by Makoto Kodaira

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kodaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kodaira

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kodaira. A scholar is included among the top collaborators of Makoto Kodaira 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 Makoto Kodaira. Makoto Kodaira 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
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Yunokawa, Mayu, Akihiko Shimomura, Tatsunori Shimoi, et al.. (2018). Symptom management: the utility of regional cooling for hand-foot syndrome induced by pegylated liposomal doxorubicin in ovarian cancer. Supportive Care in Cancer. 26(7). 2161–2166. 27 indexed citations
4.
Kodaira, Makoto, Kan Yonemori, Tatsunori Shimoi, et al.. (2018). Prognostic impact of presumed breast or ovarian cancer among patients with unfavorable-subset cancer of unknown primary site. BMC Cancer. 18(1). 176–176. 3 indexed citations
5.
Shimoi, Tatsunori, Akihiko Shimomura, Emi Noguchi, et al.. (2017). Efficacy and safety of eribulin in patients with locally advanced or metastatic breast cancer not meeting trial eligibility criteria: a retrospective study. BMC Cancer. 17(1). 819–819. 12 indexed citations
6.
Ebata, Takahiro, Mayu Yunokawa, Hiroshi Yoshida, et al.. (2017). The Prognostic Impact of the Pathological Response to Neoadjuvant Dose-Dense Therapy for Ovarian Carcinoma. International Journal of Gynecological Cancer. 27(9). 1850–1855. 5 indexed citations
7.
Yoshida, Akihiko, Eisuke Kobayashi, Takashi Kubo, et al.. (2017). Clinicopathological and molecular characterization of SMARCA4-deficient thoracic sarcomas with comparison to potentially related entities. Modern Pathology. 30(6). 797–809. 158 indexed citations
8.
Kitano, Atsuko, Makiko Ono, Masayuki Yoshida, et al.. (2017). Tumour-infiltrating lymphocytes are correlated with higher expression levels of PD-1 and PD-L1 in early breast cancer. ESMO Open. 2(2). e000150–e000150. 116 indexed citations
9.
Okuma, Hidemi, Fumiaki Koizumi, Akihiro Hirakawa, et al.. (2016). Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies. British Journal of Cancer. 115(4). 411–419. 8 indexed citations
10.
Ebata, Takahiro, Mayu Yunokawa, Akihiko Shimomura, et al.. (2016). Dose-dense paclitaxel plus carboplatin as neoadjuvant chemotherapy for advanced ovarian, fallopian tube, or primary peritoneal carcinomas. Cancer Chemotherapy and Pharmacology. 78(6). 1283–1288. 11 indexed citations
11.
Tamura, Kenji, Jun Hashimoto, Yuko Tanabe, et al.. (2016). Safety and tolerability of AZD5363 in Japanese patients with advanced solid tumors. Cancer Chemotherapy and Pharmacology. 77(4). 787–795. 43 indexed citations
12.
Kurihara, Hiroaki, Chikako Shimizu, Yasuji Miyakita, et al.. (2015). Molecular imaging using PET for breast cancer. Breast Cancer. 23(1). 24–32. 24 indexed citations
13.
Davies, Barry R., Armelle Logié, Claire Crafter, et al.. (2015). Tumors with AKT1E17K Mutations Are Rational Targets for Single Agent or Combination Therapy with AKT Inhibitors. Molecular Cancer Therapeutics. 14(11). 2441–2451. 54 indexed citations
14.
Takahashi, Ryou-u, Hiroaki Miyazaki, Fumitaka Takeshita, et al.. (2015). Loss of microRNA-27b contributes to breast cancer stem cell generation by activating ENPP1. Nature Communications. 6(1). 7318–7318. 132 indexed citations
15.
Hashimoto, Kenji, Hitoshi Tsuda, Fumiaki Koizumi, et al.. (2014). Activated PI3K/AKT and MAPK pathways are potential good prognostic markers in node-positive, triple-negative breast cancer. Annals of Oncology. 25(10). 1973–1979. 51 indexed citations
16.
Tamura, Kenji, Hiroaki Kurihara, Kan Yonemori, et al.. (2013). 64Cu-DOTA-Trastuzumab PET Imaging in Patients with HER2-Positive Breast Cancer. Journal of Nuclear Medicine. 54(11). 1869–1875. 228 indexed citations
17.
Yunokawa, Mayu, Fumiaki Koizumi, Yuka Kitamura, et al.. (2012). Efficacy of everolimus, a novel mTOR inhibitor, against basal‐like triple‐negative breast cancer cells. Cancer Science. 103(9). 1665–1671. 86 indexed citations
18.
Shoji, Hirokazu, Kenji Hashimoto, Makoto Kodaira, et al.. (2012). Hematologic Safety of Breast Cancer Chemotherapies in Patients with Hepatitis B or C Virus Infection. Oncology. 82(4). 228–233. 5 indexed citations
19.
Kojima, Yuki, Kenji Hashimoto, Masashi Ando, et al.. (2012). Comparison of dose intensity of vincristine, d-actinomycin, and cyclophosphamide chemotherapy for child and adult rhabdomyosarcoma: a retrospective analysis. Cancer Chemotherapy and Pharmacology. 70(3). 391–397. 15 indexed citations
20.
Kajimura, Masayoshi, Ken Takeuchi, Makoto Kodaira, et al.. (2000). Alterations of GTP-binding Proteins (Gsα and Gq/11α) in Gastric Smooth Muscle Cells from Streptozotocin-Induced and WBN/Kob Diabetic Rats. Digestive Diseases and Sciences. 45(8). 1517–1524. 10 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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