Chieko Michikawa

409 total citations
15 papers, 254 citations indexed

About

Chieko Michikawa is a scholar working on Oncology, Otorhinolaryngology and Surgery. According to data from OpenAlex, Chieko Michikawa has authored 15 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Otorhinolaryngology and 5 papers in Surgery. Recurrent topics in Chieko Michikawa's work include Head and Neck Cancer Studies (8 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Chieko Michikawa is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Chieko Michikawa collaborates with scholars based in United States, Japan and China. Chieko Michikawa's co-authors include Narikazu Uzawa, Norihiko Okada, Teruo Amagasa, Yoshio Ohyama, Itaru Sonoda, Hiroaki Sato, Kou Kayamori, Akira Yamaguchi, Jeffrey N. Myers and Jing Wang and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Chieko Michikawa

15 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chieko Michikawa United States 9 126 116 97 65 64 15 254
Michael Mints Sweden 9 151 1.2× 90 0.8× 84 0.9× 105 1.6× 64 1.0× 19 295
Amy Evjen Canada 3 154 1.2× 187 1.6× 102 1.1× 100 1.5× 77 1.2× 5 326
Vali A. Papadimitrakopoulou United States 7 130 1.0× 92 0.8× 116 1.2× 48 0.7× 52 0.8× 10 292
Touraj Taheri Australia 8 86 0.7× 36 0.3× 72 0.7× 46 0.7× 58 0.9× 20 213
Eva Lukešová Czechia 6 79 0.6× 176 1.5× 190 2.0× 71 1.1× 91 1.4× 7 398
Kazushige Koike Japan 5 49 0.4× 74 0.6× 165 1.7× 51 0.8× 61 1.0× 10 260
Maria Lucia Iacovino Italy 6 56 0.4× 49 0.4× 134 1.4× 35 0.5× 56 0.9× 13 232
Takuma Onoe Japan 8 59 0.5× 81 0.7× 141 1.5× 23 0.4× 43 0.7× 19 236
Shengming Xu China 10 170 1.3× 20 0.2× 148 1.5× 58 0.9× 34 0.5× 27 286

Countries citing papers authored by Chieko Michikawa

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Michikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieko Michikawa

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

All Works

15 of 15 papers shown
1.
Liao, Kershena S., Hsuan‐Chen Liu, Chieko Michikawa, et al.. (2024). Chick Embryo Chorioallantoic Membrane as a Platform for Assessing the In Vivo Efficacy of Chimeric Antigen Receptor T-cell Therapy in Solid Tumors. ImmunoHorizons. 8(8). 598–605. 3 indexed citations
2.
Michikawa, Chieko, Frederico O. Gleber‐Netto, Curtis R. Pickering, et al.. (2024). Immune infiltration at the primary tumor is associated with clinical outcome of patients with extranodal extension of lymph node metastasis in oral cancer. Oral Oncology. 153. 106729–106729. 1 indexed citations
3.
Osman, Abdullah A., Emre Arslan, Chieko Michikawa, et al.. (2023). Dysregulation and Epigenetic Reprogramming of NRF2 Signaling Axis Promote Acquisition of Cisplatin Resistance and Metastasis in Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 29(7). 1344–1359. 32 indexed citations
4.
Shi, Yewen, Xiaoyong Ren, Shaolong Cao, et al.. (2023). TP53 gain-of-function mutation modulates the immunosuppressive microenvironment in non-HPV-associated oral squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 11(8). e006666–e006666. 16 indexed citations
5.
Shi, Yewen, Xiaoyong Ren, Shaolong Cao, et al.. (2023). Abstract 619: TP53 gain-of-function mutation modulates the immunosuppressive microenvironment in non-HPV associated oral squamous cell carcinoma. Cancer Research. 83(7_Supplement). 619–619. 1 indexed citations
6.
Michikawa, Chieko, Pedro A. Torres‐Saavedra, Natalie L. Silver, et al.. (2022). Evolutionary Action Score of TP53 Analysis in Pathologically High-Risk Human Papillomavirus-Negative Head and Neck Cancer From a Phase 2 Clinical Trial: NRG Oncology Radiation Therapy Oncology Group 0234. Advances in Radiation Oncology. 7(6). 100989–100989. 3 indexed citations
7.
Michikawa, Chieko, Pedro A. Torres‐Saavedra, Natalie L. Silver, et al.. (2019). Evolutionary action score of TP53 analysis in pathologically high-risk HPV-negative head and neck cancer from a phase II clinical trial: NRG Oncology RTOG 0234.. Journal of Clinical Oncology. 37(15_suppl). 6010–6010. 2 indexed citations
8.
Sandulache, Vlad C., Chieko Michikawa, Frederico O. Gleber‐Netto, et al.. (2018). High-Risk TP53 Mutations Are Associated with Extranodal Extension in Oral Cavity Squamous Cell Carcinoma. Clinical Cancer Research. 24(7). 1727–1733. 40 indexed citations
9.
Michikawa, Chieko, Toshiyuki Izumo, Tomoyo Morita, et al.. (2018). Small size of metastatic lymph nodes with extracapsular spread greatly impacts treatment outcomes in oral squamous cell carcinoma patients. International Journal of Oral and Maxillofacial Surgery. 47(7). 830–835. 7 indexed citations
10.
Uzawa, Narikazu, Kaoru Mogushi, Chieko Michikawa, et al.. (2016). Characterizing Genetic Transitions of Copy Number Alterations and Allelic Imbalances in Oral Tongue Carcinoma Metastasis. Genes Chromosomes and Cancer. 55(12). 975–986. 10 indexed citations
11.
Uzawa, Narikazu, Kaoru Mogushi, Ken Miyaguchi, et al.. (2014). The high-temperature requirement factor A3 (HtrA3) is associated with acquisition of the invasive phenotype in oral squamous cell carcinoma cells. Oral Oncology. 51(1). 84–89. 10 indexed citations
12.
Uzawa, Narikazu, Norihiko Okada, Ken Miyaguchi, et al.. (2012). Gene expression changes in initiation and progression of oral squamous cell carcinomas revealed by laser microdissection and oligonucleotide microarray analysis. International Journal of Cancer. 132(3). 540–548. 21 indexed citations
13.
Michikawa, Chieko, Narikazu Uzawa, Kou Kayamori, et al.. (2011). Clinical significance of lymphatic and blood vessel invasion in oral tongue squamous cell carcinomas. Oral Oncology. 48(4). 320–324. 56 indexed citations
14.
Uzawa, Narikazu, Chieko Michikawa, Hiroaki Sato, et al.. (2011). EGFR gene copy number alteration is a better prognostic indicator than protein overexpression in oral tongue squamous cell carcinomas. European Journal of Cancer. 47(15). 2364–2372. 27 indexed citations
15.
Michikawa, Chieko, Narikazu Uzawa, Hiroaki Sato, et al.. (2011). Epidermal growth factor receptor gene copy number aberration at the primary tumour is significantly associated with extracapsular spread in oral cancer. British Journal of Cancer. 104(5). 850–855. 25 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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