Yuka Asano

2.2k total citations
111 papers, 1.6k citations indexed

About

Yuka Asano is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuka Asano has authored 111 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Oncology, 36 papers in Cancer Research and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuka Asano's work include Cancer Immunotherapy and Biomarkers (27 papers), Breast Cancer Treatment Studies (26 papers) and Cancer Cells and Metastasis (23 papers). Yuka Asano is often cited by papers focused on Cancer Immunotherapy and Biomarkers (27 papers), Breast Cancer Treatment Studies (26 papers) and Cancer Cells and Metastasis (23 papers). Yuka Asano collaborates with scholars based in Japan, United States and Taiwan. Yuka Asano's co-authors include Shinichiro Kashiwagi, Kosei Hirakawa, Tsutomu Takashima, Masahiko Ohsawa, Masaichi Ohira, Wataru Goto, Koji Takada, Satoru Noda, Naoyoshi Onoda and Shuhei Tomita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Yuka Asano

107 papers receiving 1.5k citations

Peers

Yuka Asano
Reena Philip United States
Bradley G. Somer United States
Hong Ge China
Kim A. Reiss United States
Reena Philip United States
Yuka Asano
Citations per year, relative to Yuka Asano Yuka Asano (= 1×) peers Reena Philip

Countries citing papers authored by Yuka Asano

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Asano

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Asano. A scholar is included among the top collaborators of Yuka Asano 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 Yuka Asano. Yuka Asano 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.
Morisaki, Tamami, Shinichiro Kashiwagi, Yuka Asano, et al.. (2021). Prediction of survival after eribulin chemotherapy for breast cancer by absolute lymphocyte counts and progression types. World Journal of Surgical Oncology. 19(1). 324–324. 4 indexed citations
2.
Takada, Koji, Shinichiro Kashiwagi, Yuka Asano, et al.. (2021). Clinical verification of body mass index and tumor immune response in patients with breast cancer receiving preoperative chemotherapy. BMC Cancer. 21(1). 1129–1129. 8 indexed citations
3.
Kashiwagi, Shinichiro, Yuka Asano, Tamami Morisaki, et al.. (2021). Breast Angiosarcoma with a Preoperative Diagnosis of Late Recurrence of Breast Cancer: A Case Report. Case Reports in Oncology. 14(1). 604–609.
4.
Goto, Wataru, Shinichiro Kashiwagi, Yuka Asano, et al.. (2020). Inhibitory effects of iron depletion plus eribulin on the breast cancer microenvironment. BMC Cancer. 20(1). 1215–1215. 6 indexed citations
5.
Takada, Koji, Shinichiro Kashiwagi, Yuka Asano, et al.. (2020). Prediction of lymph node metastasis by tumor-infiltrating lymphocytes in T1 breast cancer. BMC Cancer. 20(1). 598–598. 29 indexed citations
6.
Morisaki, Tamami, Shinichiro Kashiwagi, Yuka Asano, et al.. (2020). Cowden Syndrome Diagnosed by Bilateral Breast Cancer with Lhermitte-Duclos Disease: A Case Report. Case Reports in Oncology. 13(1). 419–423. 2 indexed citations
7.
Takada, Koji, Shinichiro Kashiwagi, Yuka Asano, et al.. (2019). Clinical Evaluation of Dynamic Monitoring of Neutrophil–to–lymphocyte and Platelet–to–lymphocyte Ratios in Primary Endocrine Therapy for Advanced Breast Cancer. Anticancer Research. 39(10). 5581–5588. 6 indexed citations
8.
Takada, Koji, Shinichiro Kashiwagi, Yuka Asano, et al.. (2019). Prognostic Value of Quality of Life in Endocrine Therapy for Elderly Patients With Breast Cancer: A Retrospective Study. Anticancer Research. 39(6). 2941–2950. 3 indexed citations
9.
Asano, Yuka, Shinichiro Kashiwagi, Koji Takada, et al.. (2019). Alveolar soft part sarcoma metastatic to the breast: a case report. BMC Surgery. 19(1). 30–30. 8 indexed citations
10.
Takada, Koji, Shinichiro Kashiwagi, Yuka Asano, et al.. (2019). Clinical verification of the relationship between smoking and the immune microenvironment of breast cancer. Journal of Translational Medicine. 17(1). 13–13. 12 indexed citations
11.
Takada, Koji, Shinichiro Kashiwagi, Ryosuke Amano, et al.. (2018). [A Case of Male Breast Cancer Suspected of Breast Metastasis from Pancreatic Cancer].. PubMed. 45(13). 1857–1859. 2 indexed citations
12.
Goto, Wataru, Shinichiro Kashiwagi, Yuka Asano, et al.. (2018). Eribulin Promotes Antitumor Immune Responses in Patients with Locally Advanced or Metastatic Breast Cancer. Anticancer Research. 38(5). 2929–2938. 60 indexed citations
13.
Goto, Wataru, Shinichiro Kashiwagi, Yuka Asano, et al.. (2018). Predictive value of improvement in the immune tumour microenvironment in patients with breast cancer treated with neoadjuvant chemotherapy. ESMO Open. 3(6). e000305–e000305. 33 indexed citations
14.
Kashiwagi, Shinichiro, Yuka Asano, Wataru Goto, et al.. (2017). Using TILs to Predict Therapeutic Effect of Chemotherapy (Pertuzumab, Trastuzumab, Docetaxel) on HER2-positive Breast Cancer. Anticancer Research. 37(10). 5623–5630. 6 indexed citations
15.
Asano, Yuka, Shinichiro Kashiwagi, Wataru Goto, et al.. (2016). Tumour-infiltrating CD8 to FOXP3 lymphocyte ratio in predicting treatment responses to neoadjuvant chemotherapy of aggressive breast cancer. British journal of surgery. 103(7). 845–854. 92 indexed citations
16.
Kashiwagi, Shinichiro, Ryosuke Amano, Naoyoshi Onoda, et al.. (2015). Nonfunctional adrenocortical carcinoma initially presenting as retroperitoneal hemorrhage. BMC Surgery. 15(1). 46–46. 6 indexed citations
17.
Noda, Satoru, Naoyoshi Onoda, Yuka Asano, et al.. (2015). T-stage and positive sentinel nodes ratio are the useful factors to predict non-sentinel node metastasis in breast cancer patients with macro-metastasis in the sentinel node. International Journal of Surgery. 14. 56–60. 6 indexed citations
18.
Asano, Yuka, Shinichiro Kashiwagi, Naoyoshi Onoda, et al.. (2015). Predictive Value of Neutrophil/Lymphocyte Ratio for Efficacy of Preoperative Chemotherapy in Triple-Negative Breast Cancer. Annals of Surgical Oncology. 23(4). 1104–1110. 118 indexed citations
19.
Kashiwagi, Shinichiro, Tomohisa Okuno, Yuka Asano, et al.. (2013). [Effectiveness of eribulin chemotherapy for squamous cell carcinoma of the breast].. PubMed. 40(12). 2369–71. 6 indexed citations
20.
Kashiwagi, Shinichiro, Yuka Asano, Tamami Morisaki, et al.. (2013). [Our experience of eribulin treatment in advanced breast cancer].. PubMed. 40(12). 1581–3. 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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