Akio Fujimura

6.9k citations
370 papers · 5.4k indexed · h-index 33

Impact in

Papers in

Akio Fujimura

361 papers receiving 5.2k citations

Peers

Akio Fujimura
Comparison fields: 5 of 140
  • Endocrine and Autonomic Systems 1.1k
  • Aging 167
  • Nephrology 536
  • Pharmacology 408
  • Physiology 1.1k
Replace Maik Gollasch with:
Maik Gollasch Germany
Barry J. Goldstein United States
Yuichiro Yamada Japan
Franco Folli Italy
Tianxin Yang United States
Hakan Parlakpınar Türkiye
Dominique Bonnefont‐Rousselot France
Shiv Kapoor United States
Marc Maillard Switzerland
Atsunori Kashiwagi Japan
Akio Fujimura relative to Maik Gollasch Germany Maik Gollasch's profile →
Citations per field
00.5×4.1×
Maik Gollasch · 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-authorship network

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
#Work
1 20253
2 20224
3 20102
4 2010228
5 20094
6 200918
7 200430
8 20034
9 19990
10 19998
11 19980
12 19951
13 19931
14
Influence of lacidipine on plasma aldosterone production in hypertensive subjects
199310
15 19890
16 19882
17 19882
18 19881
19 19878
20 19864

About Akio Fujimura

Akio Fujimura is a scholar working on Pharmacology, Endocrine and Autonomic Systems, Nephrology, Transplantation and Pharmacology, having authored 370 papers that have together received 5.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (45 papers), Circadian rhythm and melatonin (43 papers), Pharmacogenetics and Drug Metabolism (33 papers), Pharmacological Effects and Toxicity Studies (29 papers), Analytical Methods in Pharmaceuticals (27 papers), Receptor Mechanisms and Signaling (20 papers), Blood Pressure and Hypertension Studies (20 papers) and Antibiotics Pharmacokinetics and Efficacy (19 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Aging (167 citations), Nephrology (536 citations), Pharmacology (408 citations) and Physiology (1.1k 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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