Akio Fujimura

359 papers receiving 5.3k citations

Peers

Akio Fujimura
Comparison fields: 5 of 138
  • Endocrine and Autonomic Systems 1.0k
  • Aging 152
  • Nephrology 467
  • Pharmacology 355
  • Physiology 974
Replace Eiichi Araki with:
Eiichi Araki Japan
Barry J. Goldstein United States
Yutaka Seino Japan
Hakan Parlakpınar Türkiye
Gary Sweeney Canada
Yuichiro Yamada Japan
Marc Maillard Switzerland
Franco Folli Italy
Michael Brownlee United States
Atsunori Kashiwagi Japan
Akio Fujimura relative to Eiichi Araki Japan Eiichi Araki's profile →
Citations per field
00.5×2.7×
Eiichi Araki · 1×
Citations per year

Countries citing papers authored by Akio Fujimura

Since Specialization
Citations

This map shows the geographic impact of Akio Fujimura'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 Akio Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Fujimura more than expected).

Fields of papers citing papers by Akio Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akio Fujimura. 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 Akio Fujimura. The network helps show where Akio Fujimura may publish in the future.

Co-authors

The 25 scholars most cited alongside Akio Fujimura, 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 Akio Fujimura Line = papers co-authored together Akio Fujimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 369 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005255
2 2010230
3 2006209
4 2012124
5 2011115
6
Effects of FTY720 in MRL-lpr/lpr mice: therapeutic potential in systemic lupus erythematosus.
2002115
7 2008108
8 200591
9 200685
10 200682
11 201267
12 201162
13 200560
14 200858
15 200154
16 200253
17 200452
18 200752
19 199746
20 200045

About Akio Fujimura

Akio Fujimura is a scholar working on Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine, Oncology and Physiology, having authored 369 papers that have together received 5.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (41 papers), Drug Transport and Resistance Mechanisms (39 papers), Pharmacogenetics and Drug Metabolism (28 papers), Analytical Methods in Pharmaceuticals (22 papers), Pharmacological Effects and Toxicity Studies (21 papers), Blood Pressure and Hypertension Studies (19 papers), Antibiotics Pharmacokinetics and Efficacy (18 papers) and Receptor Mechanisms and Signaling (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Aging (152 citations), Nephrology (467 citations), Pharmacology (355 citations) and Physiology (974 citations). Akio Fujimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuichi Tsuruoka, Hitoshi Ando, Akio Ebihara, Koichi Sugimoto, Kentaro Ushijima, Toshinari Takamura, Shuichi Kaneko, Masami Ohmori, Eiji Kobayashi and Hayato Yanagihara. Their work appears in journals such as The Journal of Clinical Pharmacology, Life Sciences, European Journal of Clinical Pharmacology, Chronobiology International and European Journal of Pharmacology.

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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