Kazutoshi Mawatari

20 papers receiving 349 citations

Peers

Kazutoshi Mawatari
Comparison fields: 5 of 65
  • Nephrology 36
  • Biological Psychiatry 11
  • Developmental Neuroscience 17
  • Cardiology and Cardiovascular Medicine 86
  • Pathology and Forensic Medicine 62
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Citations per year

Countries citing papers authored by Kazutoshi Mawatari

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Mawatari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 201264
3 201536
4 200824
5 201523
6 202021
7 201020
8 201414
9 199611
10 20205
11 20215
12 20215
13 20115
14
[Usefulness of rapid bedside cardiac troponin T assay for the diagnosis of acute myocardial infarction].
20004
15 20114
16 20043
17
[Relationship between prothrombin time international normalized ratio and thrombo test (%)].
20012
18
Abstract 13918: Activation of Protective Intracellular Signaling Pathways in the Heart by Skeletal Muscle-Derived Cytokines During Remote Ischemic Preconditioning
20101
19 20091
20
High efficient femtoliter reversed phase chromatography in a 10 mm extended-nanochannel for amino acids analysis
20151

About Kazutoshi Mawatari

Kazutoshi Mawatari is a scholar working on Pathology and Forensic Medicine, Oncology, Cardiology and Cardiovascular Medicine, Epidemiology and Nephrology, having authored 21 papers that have together received 353 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Viral Infections and Immunology Research (2 papers), MicroRNA in disease regulation (2 papers), Folate and B Vitamins Research (1 paper), Nanopore and Nanochannel Transport Studies (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Nephrology (36 citations), Biological Psychiatry (11 citations), Developmental Neuroscience (17 citations), Cardiology and Cardiovascular Medicine (86 citations) and Pathology and Forensic Medicine (62 citations). Kazutoshi Mawatari has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hideo Yasukawa, Tsutomu Imaizumi, Toyoharu Oba, Takanobu Nagata, Kiyoko Kaneko, Makoto Yasuda, Kazuya Nakagomi, Naofumi Hayabuchi, Sho‐ichi Yamagishi and Minori Mizoguchi. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Circulation, PLoS ONE, Nutrients and Journal of Cardiac Failure.

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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