Satoshi Okazaki

1.1k total citations
86 papers, 725 citations indexed

About

Satoshi Okazaki is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Satoshi Okazaki has authored 86 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Oncology, 24 papers in Pathology and Forensic Medicine and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Satoshi Okazaki's work include Colorectal Cancer Treatments and Studies (35 papers), Genetic factors in colorectal cancer (17 papers) and Cancer Treatment and Pharmacology (10 papers). Satoshi Okazaki is often cited by papers focused on Colorectal Cancer Treatments and Studies (35 papers), Genetic factors in colorectal cancer (17 papers) and Cancer Treatment and Pharmacology (10 papers). Satoshi Okazaki collaborates with scholars based in Japan, United States and Italy. Satoshi Okazaki's co-authors include Dongyun Yang, Martin D. Berger, Yan Ning, Yuji Miyamoto, Marta Schirripa, Shu Cao, Mitsukuni Suenaga, Heinz‐Josef Lenz, Yu Sunakawa and Wu Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Satoshi Okazaki

78 papers receiving 718 citations

Peers

Satoshi Okazaki
Alexis D. Leal United States
Satoshi Okazaki
Citations per year, relative to Satoshi Okazaki Satoshi Okazaki (= 1×) peers Alexis D. Leal

Countries citing papers authored by Satoshi Okazaki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Okazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Okazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Okazaki. A scholar is included among the top collaborators of Satoshi Okazaki 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 Satoshi Okazaki. Satoshi Okazaki 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
2.
Miyamoto, Yuji, Marta Schirripa, Mitsukuni Suenaga, et al.. (2020). A polymorphism in the cachexia-associated gene INHBA predicts efficacy of regorafenib in patients with refractory metastatic colorectal cancer. PLoS ONE. 15(9). e0239439–e0239439. 10 indexed citations
3.
Berger, Martin D., Sebastian Stintzing, Volker Heinemann, et al.. (2017). A Polymorphism within the Vitamin D Transporter Gene Predicts Outcome in Metastatic Colorectal Cancer Patients Treated with FOLFIRI/Bevacizumab or FOLFIRI/Cetuximab. Clinical Cancer Research. 24(4). 784–793. 21 indexed citations
4.
Berger, Martin D., Sebastian Stintzing, Volker Heinemann, et al.. (2017). Impact of genetic variations in the MAPK signaling pathway on outcome in metastatic colorectal cancer patients treated with first-line FOLFIRI and bevacizumab: data from FIRE-3 and TRIBE trials. Annals of Oncology. 28(11). 2780–2785. 29 indexed citations
5.
Wu, Anna H., Shu Cao, Diana L. Hanna, et al.. (2017). Prognostic impact of FOXF1 polymorphisms in gastric cancer patients. The Pharmacogenomics Journal. 18(2). 262–269. 2 indexed citations
6.
Suenaga, Mitsukuni, Marta Schirripa, Shu Cao, et al.. (2017). Potential role of polymorphisms in the transporter genes ENT1 and MATE1 / OCT2 in predicting TAS-102 efficacy and toxicity in patients with refractory metastatic colorectal cancer. European Journal of Cancer. 86. 197–206. 23 indexed citations
7.
Suenaga, Mitsukuni, Marta Schirripa, Shu Cao, et al.. (2017). Genetic variants of DNA repair-related genes predict efficacy of TAS-102 in patients with refractory metastatic colorectal cancer. Annals of Oncology. 28(5). 1015–1022. 21 indexed citations
8.
Stremitzer, Stefan, Wu Zhang, Dongyun Yang, et al.. (2016). Expression of Genes Involved in Vascular Morphogenesis and Maturation Predicts Efficacy of Bevacizumab-Based Chemotherapy in Patients Undergoing Liver Resection. Molecular Cancer Therapeutics. 15(11). 2814–2821. 8 indexed citations
9.
Matsusaka, Satoshi, Diana L. Hanna, Shu Cao, et al.. (2016). Prognostic Impact of IL6 Genetic Variants in Patients with Metastatic Colorectal Cancer Treated with Bevacizumab-Based Chemotherapy. Clinical Cancer Research. 22(13). 3218–3226. 23 indexed citations
10.
Matsusaka, Satoshi, Wu Zhang, Shu Cao, et al.. (2016). TWIST1 Polymorphisms Predict Survival in Patients with Metastatic Colorectal Cancer Receiving First-Line Bevacizumab plus Oxaliplatin-Based Chemotherapy. Molecular Cancer Therapeutics. 15(6). 1405–1411. 11 indexed citations
11.
Sebio, Ana, Sebastian Stintzing, Volker Heinemann, et al.. (2016). A genetic variant in Rassf1a predicts outcome in mCRC patients treated with cetuximab plus chemotherapy: results from FIRE-3 and JACCRO 05 and 06 trials. The Pharmacogenomics Journal. 18(1). 43–48. 3 indexed citations
12.
Ning, Yan, Diana L. Hanna, Wu Zhang, et al.. (2015). Cytokeratin-20 and Survivin-Expressing Circulating Tumor Cells Predict Survival in Metastatic Colorectal Cancer Patients by a Combined Immunomagnetic qRT-PCR Approach. Molecular Cancer Therapeutics. 14(10). 2401–2408. 22 indexed citations
14.
Kobayashi, Hirotoshi, Akifumi Kikuchi, Satoshi Okazaki, et al.. (2014). Diagnostic Performance of Multidetector Row Computed Tomography for Assessment of Lymph Node Metastasis in Patients with Distal Rectal Cancer. Annals of Surgical Oncology. 22(1). 203–208. 18 indexed citations
15.
Okazaki, Satoshi, et al.. (2012). A Case of Cecal, Sigmoidal, and Peritoneal Recurrence of Goblet Cell Carcinoid of the Appendix 9 Years after Appendectomy. Nihon Daicho Komonbyo Gakkai Zasshi. 66(1). 31–35. 3 indexed citations
16.
Dohi, Tomotaka, Satoshi Okazaki, Takayuki Yokoyama, et al.. (2011). Long-term impact of mild chronic kidney disease in patients with acute coronary syndrome undergoing percutaneous coronary interventions. Nephrology Dialysis Transplantation. 26(9). 2906–2911. 23 indexed citations
17.
Mizokami, Tetsuya, Hiroko Hisha, Satoshi Okazaki, et al.. (2009). Preferential expansion of human umbilical cord blood-derived CD34-positive cells on major histocompatibility complex-matched amnion-derived mesenchymal stem cells. Haematologica. 94(5). 618–628. 10 indexed citations
18.
Yoshida, Ryo, Satoshi Okazaki, Hideho Takada, & A‐Hon Kwon. (2009). A CASE OF RECURRENT SUPERIOR LUMBAR HERNIA REPAIRED WITH A BARD COMPOSIX MESH DURING A LAPAROSCOPIC PROCEDURE. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 70(9). 2889–2892.
19.
Song, Changye, Hiroko Hisha, Xiaoli Wang, et al.. (2008). Facilitation of hematopoietic recovery by bone grafts with intra-bone marrow–bone marrow transplantation. Immunobiology. 213(6). 455–468. 5 indexed citations
20.
Okazaki, Satoshi, Hiroko Hisha, Tomomi Mizokami, et al.. (2008). Successful Acceptance of Adult Liver Allografts by Intra-Bone Marrow–Bone Marrow Transplantation. Stem Cells and Development. 17(4). 629–640. 13 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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