Naoki Tanaka
Impact in
- Hepatology top 0.5%
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 40
- Co-authors
- Frank J. GonzalezAkira HoriuchiToshifumi AoyamaKristopher W. KrauszKendo KiyosawaYoshiko NakayamaMasashi KajiyamaEiji Tanaka
- Journals
- Japanese Journal of Applied Physics (11 papers)Journal of Mathematical Analysis and Applications (9 papers)Liver International (7 papers)Archives of Toxicology (7 papers)Hepatology (7 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naoki Tanaka
375 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Hepatology 1.2k
- Epidemiology 3.3k
- Biochemistry 480
- Oncology 1.7k
- Pharmacology 526
Countries citing papers authored by Naoki Tanaka
This map shows the geographic impact of Naoki Tanaka'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 Naoki Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Tanaka more than expected).
Fields of papers citing papers by Naoki Tanaka
This network shows the impact of papers produced by Naoki Tanaka. 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 Naoki Tanaka. The network helps show where Naoki Tanaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Tanaka, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 34 | |
| 13 | 2017 | 64 | |
| 14 | 2015 | 10 | |
| 15 | A Blanket Binarization Method for Character String Extraction | 2011 | 1 |
| 16 | 2008 | 8 | |
| 17 | 2006 | 12 | |
| 18 | 2002 | 1 | |
| 19 | 1998 | 95 | |
| 20 | Nonlinear Nonautonomous Differential Equations | 1988 | 2 |
About Naoki Tanaka
Naoki Tanaka is a scholar working on Hepatology, Mathematical Physics, Epidemiology, Gastroenterology and Applied Mathematics, having authored 395 papers that have together received 10.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (91 papers), Peroxisome Proliferator-Activated Receptors (50 papers), Stability and Controllability of Differential Equations (31 papers), Drug Transport and Resistance Mechanisms (25 papers), Gastric Cancer Management and Outcomes (22 papers), Advanced Mathematical Modeling in Engineering (22 papers), Diet, Metabolism, and Disease (19 papers) and Nonlinear Differential Equations Analysis (16 papers). The work is most often cited by research in Hepatology (1.2k citations), Epidemiology (3.3k citations), Biochemistry (480 citations), Oncology (1.7k citations) and Pharmacology (526 citations). Naoki Tanaka has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Frank J. Gonzalez, Akira Horiuchi, Toshifumi Aoyama, Kristopher W. Krausz, Kendo Kiyosawa, Yoshiko Nakayama, Masashi Kajiyama, Eiji Tanaka, Takero Nakajima and Kenji Sano. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Mathematical Analysis and Applications, Liver International, Archives of Toxicology and Hepatology.
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.