Takaharu Maruyama
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 2
- Hepatology top 10%
- Surgery top 10%
- Cholesterol and Lipid Metabolism 2
- Gastroenterology top 10%
- Epidemiology top 10%
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- Neuroscience and Neuropharmacology Research 3
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- Polyamine Metabolism and Applications 2
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 1
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- Amino Acid Enzymes and Metabolism 1
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- Molecular Sensors and Ion Detection 1
- Co-authors
- Yasuhisa MiyamotoYoshitaka TamaiKenichi TanakaTakao NakamuraHiraku ItadaniTatsuji NakamuraHiromasa OkadaEiji Sugiyama
- Cited by
- OncologyHepatologySurgery
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Endocrinology (1 paper)Brain Research (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Takaharu Maruyama
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 725
- Hepatology 92
- Surgery 475
- Gastroenterology 54
- Epidemiology 288
Countries citing papers authored by Takaharu Maruyama
This map shows the geographic impact of Takaharu Maruyama'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 Takaharu Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaharu Maruyama more than expected).
Fields of papers citing papers by Takaharu Maruyama
This network shows the impact of papers produced by Takaharu Maruyama. 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 Takaharu Maruyama. The network helps show where Takaharu Maruyama may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Takaharu Maruyama, 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 | 2006 | 238 | |
| 2 | Identification of membrane-type receptor for bile acids (M-BAR)breakdown → | 2002 | 797 |
| 3 | 2002 | 25 | |
| 4 | 2001 | 22 | |
| 5 | 2000 | 3 | |
| 6 | 1996 | 37 | |
| 7 | 1994 | 27 |
About Takaharu Maruyama
Takaharu Maruyama is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Pharmacology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cholesterol and Lipid Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Polyamine Metabolism and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Oncology (725 citations), Hepatology (92 citations) and Surgery (475 citations). Takaharu Maruyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yasuhisa Miyamoto, Yoshitaka Tamai, Kenichi Tanaka, Takao Nakamura, Hiraku Itadani, Tatsuji Nakamura, Hiromasa Okada, Eiji Sugiyama, Naomoto Harada and Jun Suzuki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Endocrinology, Brain Research, Biochimica et Biophysica Acta (BBA) - Biomembranes and Zeitschrift für Naturforschung C.
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.