Makoto Fujimoto

1.2k citations
56 papers · 894 indexed · h-index 19

Makoto Fujimoto

49 papers receiving 864 citations

Peers

Makoto Fujimoto
Comparison fields: 5 of 110
  • Endocrinology, Diabetes and Metabolism 173
  • Pharmacology 83
  • Toxicology 28
  • Nutrition and Dietetics 124
  • Epidemiology 277
Replace Jisun Hwang with:
Jisun Hwang South Korea
Kang‐Hoon Kim South Korea
Ji Min Kim South Korea
Shigeto Mizuno Japan
Eun Soo Lee South Korea
Germán Gallardo Spain
Chun Liu United States
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Min Hee Lee South Korea
Makoto Fujimoto relative to Jisun Hwang South Korea Jisun Hwang's profile →
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Citations per year

Countries citing papers authored by Makoto Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20244
4 20240
5 20155
6 201422
7
A CASE OF ENDOSCOPIC HEMOSTASIS WITH INTRA-AORTIC BALLOON OCCLUSION FOR SEVERE BLEEDING FROM DUODENAL : INVASION FROM A PANCREATIC CARCINOMA
20131
8 201252
9 20114
10 20117
11 20103
12 201027
13 200910
14 200913
15
Employment of older people after the amendment of the act concerning stabilization of employment of older persons: current state of affairs and challenges
20083
16 2008122
17 200681
18 200659
19
CHANGES IN INOSITOL-PHOSPHATE LEVEL IN THE FISH MELANOPHORES INDUCED BY NOREPINEPHRINE(Physiology)Proceedings of the Sixty-Third Annual Meeting of the Zoologiacal Socistry of Japan
19923
20 199136

About Makoto Fujimoto

Makoto Fujimoto is a scholar working on Pharmacology, Family Practice and Toxicology, having authored 56 papers that have together received 894 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Pharmacological Effects of Natural Compounds (9 papers), Diet, Metabolism, and Disease (7 papers), Plant-based Medicinal Research (6 papers), CCD and CMOS Imaging Sensors (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Pharmacology (83 citations) and Toxicology (28 citations). Makoto Fujimoto has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Koichi Tsuneyama, Yutaka Shimada, Yasuo Takano, Carlo Selmi, Kazuhiro Nomoto, M. Eric Gershwin, Tsutomu Shimada, Masaki Aburada, Seiichi Iizuka and Mitsunobu Nagata. Their work appears in journals such as Journal of The Electrochemical Society, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

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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