Takashi Oyama
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- Lymphoma Diagnosis and Treatment 17
- Oncology top 5%
- Viral-associated cancers and disorders 12
- Fuel Technology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 7
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment 6
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- Thermochemical Biomass Conversion Processes 8
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- Gastric Cancer Management and Outcomes 7
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- Catalysis and Hydrodesulfurization Studies 7
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- Esophageal and GI Pathology 7
- Co-authors
- Yuzuru MasudaMiki MurataShinji WatanabeIsao MochidaYozo KoraiNaoko AsanoMasato YoshiyaYoshie Shimoyama
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)Blood (3 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Takashi Oyama
104 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 135
- Pathology and Forensic Medicine 680
- Oncology 785
- Fuel Technology 22
- Genetics 179
- Neurology 217
Countries citing papers authored by Takashi Oyama
This map shows the geographic impact of Takashi Oyama'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 Takashi Oyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Oyama more than expected).
Fields of papers citing papers by Takashi Oyama
This network shows the impact of papers produced by Takashi Oyama. 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 Takashi Oyama. The network helps show where Takashi Oyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Oyama, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2013 | 20 | |
| 6 | 2012 | 36 | |
| 7 | 2012 | 20 | |
| 8 | 2011 | 1 | |
| 9 | 2011 | 12 | |
| 10 | A Method for Determining Rotational Machine Quantities from DC Tests using Voltage Source Inverter | 2010 | 2 |
| 11 | 2010 | 25 | |
| 12 | 2010 | 46 | |
| 13 | 2010 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 1 | |
| 16 | 2008 | 43 | |
| 17 | 2008 | 99 | |
| 18 | 2006 | 60 | |
| 19 | 1983 | 3 | |
| 20 | 1983 | 2 |
About Takashi Oyama
Takashi Oyama is a scholar working on Fuel Technology, Pathology and Forensic Medicine and Gastroenterology, having authored 110 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (12 papers), Thermochemical Biomass Conversion Processes (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Gastric Cancer Management and Outcomes (7 papers), Catalysis and Hydrodesulfurization Studies (7 papers), Esophageal and GI Pathology (7 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (680 citations), Oncology (785 citations) and Fuel Technology (22 citations). Takashi Oyama has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yuzuru Masuda, Miki Murata, Shinji Watanabe, Isao Mochida, Yozo Korai, Naoko Asano, Masato Yoshiya, Yoshie Shimoyama, Yasuo Morishima and Shigeo Nakamura. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.