Yoshimi Kitada

1.3k citations
84 papers · 1.1k · h-index 17

Impact in

Papers in

Yoshimi Kitada

83 papers receiving 1.1k citations

Peers

Yoshimi Kitada
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 397
  • Behavioral Neuroscience 64
  • Cellular and Molecular Neuroscience 179
  • Pathology and Forensic Medicine 113
  • Molecular Biology 388
Replace Ellen E. Codd with:
Ellen E. Codd United States
Heng Zhou China
F.E. Shideman United States
Shin Hee Yoon South Korea
P.L. Sharma India
Ian N. Acworth United States
Shizuo Nakamura Japan
D.A. Butterfield United States
D. Sloan Stribling United States
Caijing Han China
Yoshimi Kitada relative to Ellen E. Codd United States Ellen E. Codd's profile →
Citations per field
00.5×4.6×
Ellen E. Codd · 1×
Citations per year

Countries citing papers authored by Yoshimi Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Yoshimi Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995205
2 1981138
3 199674
4 199969
5 199847
6 201237
7 198735
8 198731
9 200128
10 198926
11 198621
12 198121
13 199920
14 198520
15 198618
16 200418
17 198916
18 198815
19 199014
20 198514

About Yoshimi Kitada

Yoshimi Kitada is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Food Science and Nutrition and Dietetics, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Cardiovascular Function and Risk Factors (9 papers), Analytical Chemistry and Chromatography (8 papers), Biochemical Analysis and Sensing Techniques (8 papers), Advanced Chemical Sensor Technologies (8 papers), Cardiac Ischemia and Reperfusion (7 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (397 citations), Behavioral Neuroscience (64 citations), Cellular and Molecular Neuroscience (179 citations), Pathology and Forensic Medicine (113 citations) and Molecular Biology (388 citations). Yoshimi Kitada has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tatsuo Miyauchi, Susumu Satoh, R. John Solaro, Akihiro Narimatsu, Akiko K. Satoh, Naoya Satoh, István Édes, Éva Kiss, Evangelia G. Kranias and Julius Gy. Papp. Their work appears in journals such as Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi), Journal of Chromatography A, European Journal of Pharmacology, Journal of Cardiac Failure and Life 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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