Naoki Tanaka

375 papers receiving 10.8k citations

Naoki Tanaka's Hit Papers

PPARs as Metabolic Regulators in the Liver: Lessons from Liver-Specific PPAR-Null Mice 2020 · 438 citations
4380+4+8Years since publication100200300400500

Peers

Naoki Tanaka
Comparison fields: 5 of 177
  • Hepatology 1.0k
  • Epidemiology 2.9k
  • Biochemistry 442
  • Pharmacology 494
  • Oncology 1.3k
Replace Hiroshi Yoshida with:
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Countries citing papers authored by Naoki Tanaka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Naoki Tanaka Line = papers co-authored together Naoki Tanaka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 396 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intestinal farnesoid X receptor signaling promotes nonalcoholic fatty liver disease
Hit paper breakdown →
2014598
2
PPARs as Metabolic Regulators in the Liver: Lessons from Liver-Specific PPAR-Null Mice
Hit paper breakdown →
2020438
3 2015271
4 2013249
5 2012222
6 2008213
7 2004203
8 2008197
9 2017189
10 2011154
11 2004151
12 1987134
13 2015128
14 2015127
15 2006123
16 2019119
17 2008116
18 2015109
19 1994107
20
A Crack Detection Method in Road Surface Images Using Morphology.
1998104

About Naoki Tanaka

Naoki Tanaka is a scholar working on Epidemiology, Hepatology, Mathematical Physics, Oncology and Applied Mathematics, having authored 396 papers that have together received 11.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (72 papers), Peroxisome Proliferator-Activated Receptors (46 papers), Stability and Controllability of Differential Equations (26 papers), Drug Transport and Resistance Mechanisms (23 papers), Advanced Mathematical Modeling in Engineering (20 papers), Nonlinear Differential Equations Analysis (14 papers), Gastric Cancer Management and Outcomes (14 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Hepatology (1.0k citations), Epidemiology (2.9k citations), Biochemistry (442 citations), Pharmacology (494 citations) and Oncology (1.3k citations). Naoki Tanaka has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Frank J. Gonzalez, Akira C. Horiuchi, Toshifumi Aoyama, Kristopher W. Krausz, Kendo Kiyosawa, Yoshiko Nakayama, Masashi Kajiyama, Takero Nakajima, Eiji Tanaka and Kenji Sano. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Gastroenterology, Journal of Mathematical Analysis and Applications, Hepatology Research and Liver International.

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.

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