Daizo Yoshida
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Cancer, Hypoxia, and Metabolism
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protease and Inhibitor Mechanisms 16
- Cancer, Hypoxia, and Metabolism 11
- Oncology 24
- Peptidase Inhibition and Analysis 7
- Co-authors
- Akira Teramoto (41 shared papers)Shozo Nakazawa (8 shared papers)Yukio Ikeda (7 shared papers)Tuo Wang (1 shared paper)Maode Wang (1 shared paper)Kunihiro Watanabe (13 shared papers)Kyongsong Kim (9 shared papers)Akira Teramoto (9 shared papers)
- Journals
- Journal of Neuro-Oncology (22 papers)Neurosurgery (14 papers)Neurologia medico-chirurgica (11 papers)Brain Tumor Pathology (4 papers)Endocrine Pathology (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daizo Yoshida
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 354
- Immunology and Allergy 107
- Genetics 174
- Oncology 346
- Neurology 114
Countries citing papers authored by Daizo Yoshida
This map shows the geographic impact of Daizo Yoshida'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 Daizo Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daizo Yoshida more than expected).
Fields of papers citing papers by Daizo Yoshida
This network shows the impact of papers produced by Daizo Yoshida. 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 Daizo Yoshida. The network helps show where Daizo Yoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Daizo Yoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 165 | |
| 2 | 2003 | 164 | |
| 3 | 2005 | 74 | |
| 4 | 2014 | 39 | |
| 5 | 1995 | 37 | |
| 6 | 2005 | 35 | |
| 7 | 2006 | 34 | |
| 8 | 1999 | 32 | |
| 9 | 2000 | 32 | |
| 10 | 2011 | 29 | |
| 11 | 2009 | 29 | |
| 12 | 1993 | 26 | |
| 13 | Estramustine sensitizes human glioblastoma cells to irradiation. | 1994 | 24 |
| 14 | 2003 | 23 | |
| 15 | 1993 | 23 | |
| 16 | 2005 | 23 | |
| 17 | 2013 | 22 | |
| 18 | 1996 | 19 | |
| 19 | 2003 | 19 | |
| 20 | 1998 | 18 |
About Daizo Yoshida
Daizo Yoshida is a scholar working on Cancer Research, Oncology, Molecular Biology, Surgery and Genetics, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (16 papers), Cancer, Hypoxia, and Metabolism (11 papers), Cell Adhesion Molecules Research (10 papers), Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (8 papers), Peptidase Inhibition and Analysis (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Nanoparticle-Based Drug Delivery (5 papers). The work is most often cited by research in Cancer Research (354 citations), Immunology and Allergy (107 citations), Genetics (174 citations), Oncology (346 citations) and Neurology (114 citations). Daizo Yoshida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akira Teramoto, Shozo Nakazawa, Yukio Ikeda, Tuo Wang, Maode Wang, Kunihiro Watanabe, Kyongsong Kim, Akira Teramoto, Yuichi Sugisaki and Atsushi Teramoto. Their work appears in journals such as Journal of Neuro-Oncology, Neurosurgery, Neurologia medico-chirurgica, Brain Tumor Pathology and Endocrine Pathology.
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.