Kota Arima
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
- Co-authors
- Akira Chikamoto (55 shared papers)Daisuke Hashimoto (43 shared papers)Katsunori Imai (44 shared papers)Yo‐ichi Yamashita (38 shared papers)Hirohisa Okabe (38 shared papers)Shigeki Nakagawa (33 shared papers)Yuki Kitano (34 shared papers)Hideo Baba (32 shared papers)
- Journals
- Surgery Today (9 papers)Anticancer Research (9 papers)Cancer Research (5 papers)Pancreatology (5 papers)Cancer Science (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kota Arima
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Oncology 644
- Cancer Research 260
- Hepatology 128
- Surgery 380
- Immunology 153
Countries citing papers authored by Kota Arima
This map shows the geographic impact of Kota Arima'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 Kota Arima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kota Arima more than expected).
Fields of papers citing papers by Kota Arima
This network shows the impact of papers produced by Kota Arima. 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 Kota Arima. The network helps show where Kota Arima may publish in the future.
Co-authors
The 25 scholars most cited alongside Kota Arima, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2018 | 57 | |
| 3 | 2017 | 49 | |
| 4 | 2016 | 46 | |
| 5 | 2019 | 46 | |
| 6 | 2016 | 45 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 37 | |
| 9 | 2015 | 36 | |
| 10 | 2016 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2015 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2016 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2018 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2016 | 19 | |
| 20 | 2016 | 18 |
About Kota Arima
Kota Arima is a scholar working on Oncology, Surgery, Epidemiology, Cancer Research and Molecular Biology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (25 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Neuroendocrine Tumor Research Advances (11 papers), Pancreatitis Pathology and Treatment (8 papers), Cancer, Lipids, and Metabolism (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Inflammatory Biomarkers in Disease Prognosis (6 papers). The work is most often cited by research in Oncology (644 citations), Cancer Research (260 citations), Hepatology (128 citations), Surgery (380 citations) and Immunology (153 citations). Kota Arima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akira Chikamoto, Daisuke Hashimoto, Katsunori Imai, Yo‐ichi Yamashita, Hirohisa Okabe, Shigeki Nakagawa, Yuki Kitano, Hideo Baba, Takayoshi Kaida and Kensuke Yamamura. Their work appears in journals such as Surgery Today, Anticancer Research, Cancer Research, Pancreatology and Cancer Science.
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.