Takashi Miki

10.9k citations
146 papers · 8.6k indexed · 1 hit paper · h-index 50

Takashi Miki

138 papers receiving 8.5k citations

Hit Papers

Gut microbiota confers host resistance to obesity by meta...288201920262021202350100150200250

Peers

Takashi Miki
Comparison fields: 5 of 126
  • Pathology and Forensic Medicine 2.7k
  • Developmental Neuroscience 572
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Emergency Medicine 803
  • Physiology 371
Replace Lydia Aguilar‐Bryan with:
Lydia Aguilar‐Bryan United States
John Pernow Sweden
David W. Busija United States
Joseph E. Brayden United States
Amanda Lochner South Africa
Yoshiyuki Horio Japan
Jiping Tang United States
Masaya Tanno Japan
John M. Quayle United Kingdom
Nabil J. Alkayed United States
Takashi Miki relative to Lydia Aguilar‐Bryan United States Lydia Aguilar‐Bryan's profile →
Citations per field
00.5×
Lydia Aguilar‐Bryan · 1×
Citations per year

Countries citing papers authored by Takashi Miki

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Miki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 2022108
4 20225
5 20227
6 202065
7 20203
8 20196
9
Gut microbiota confers host resistance to obesity by metabolizing dietary polyunsaturated fatty acidsbreakdown →
2019288
10 201321
11 20129
12 201088
13 2009182
14 200712
15
20050
16 2005125
17 200573
18 200464
19 200242
20
Mouse model of Prinzmetal angina by distribution of the inward rectifier Kir6.1
20020

About Takashi Miki

Takashi Miki is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Cardiology and Cardiovascular Medicine, having authored 146 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (46 papers), Pancreatic function and diabetes (44 papers), Ion channel regulation and function (29 papers), Cardiac electrophysiology and arrhythmias (14 papers), Diabetes Treatment and Management (13 papers), Cardiac Arrest and Resuscitation (10 papers), Cardiovascular and Diving-Related Complications (9 papers) and Cardiac Imaging and Diagnostics (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.7k citations), Developmental Neuroscience (572 citations) and Endocrinology, Diabetes and Metabolism (1.7k citations). Takashi Miki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Susumu Seino, Toshihiko Iwanaga, Tadao Shibasaki, Kazuaki Nagashima, Kohtaro Minami, Haruaki Nakaya, Yasushige Kashima, Jun‐ichi Miyazaki, Masashi Suzuki and Hideki Yano. Their work appears in journals such as Nature, Science and Proceedings of the National 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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