Mio Kitano
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Cancer, Hypoxia, and Metabolism 2
- Oncology 8
- Lung Cancer Research Studies 3
- Co-authors
- James C. YangSteven A. RosenbergRichard A. MorganCarolyn M. LaurençotMark E. DudleyMark BloomstonElectron KebebewReza Rahbari
- Journals
- Annals of Surgical Oncology (3 papers)Surgery (2 papers)Journal of Surgical Research (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Mio Kitano
20 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 1.9k
- Immunology 797
- Genetics 600
- Biomedical Engineering 646
- Cancer Research 149
Countries citing papers authored by Mio Kitano
This map shows the geographic impact of Mio Kitano'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 Mio Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mio Kitano more than expected).
Fields of papers citing papers by Mio Kitano
This network shows the impact of papers produced by Mio Kitano. 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 Mio Kitano. The network helps show where Mio Kitano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mio Kitano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 3 | |
| 6 | 2016 | 11 | |
| 7 | 2016 | 105 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 58 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 18 | |
| 14 | 2011 | 49 | |
| 15 | 2010 | 26 | |
| 16 | 2010 | 37 | |
| 17 | Case Report of a Serious Adverse Event Following the Administration of T Cells Transduced With a Chimeric Antigen Receptor Recognizing ERBB2 Hit paper breakdown → | 2010 | 1939 |
| 18 | 2010 | 38 | |
| 19 | 2008 | 5 | |
| 20 | [Pancreatic arteriovenous malformation--a case report and review of the literature]. | 1985 | 2 |
About Mio Kitano
Mio Kitano is a scholar working on Cancer Research, Oncology, Neurology, Endocrinology, Diabetes and Metabolism and Gender Studies, having authored 21 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Neuroblastoma Research and Treatments (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Lung Cancer Research Studies (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Metastasis and carcinoma case studies (2 papers), Intraperitoneal and Appendiceal Malignancies (2 papers) and Diversity and Career in Medicine (2 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (797 citations), Genetics (600 citations), Biomedical Engineering (646 citations) and Cancer Research (149 citations). Mio Kitano has collaborated with scholars based in United States and Japan. Frequent co-authors include James C. Yang, Steven A. Rosenberg, Richard A. Morgan, Carolyn M. Laurençot, Mark E. Dudley, Mark Bloomston, Electron Kebebew, Reza Rahbari, Nijaguna B. Prasad and Yongchun Wang. Their work appears in journals such as Annals of Surgical Oncology, Surgery, Journal of Surgical Research, The Journal of Clinical Endocrinology & Metabolism and Molecular Therapy.
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.