Mie Kurata

87 papers receiving 2.4k citations

Mie Kurata's Hit Papers

The role of interleukin-1 in general pathology 2019 · 483 citations
4830+2+4Years since publication100200300400

Peers

Mie Kurata
Comparison fields: 5 of 125
  • Nephrology 196
  • Cardiology and Cardiovascular Medicine 413
  • Biological Psychiatry 36
  • Surgery 587
  • Endocrinology, Diabetes and Metabolism 174
Replace Feng Xu with:
Feng Xu China
Huimin Fan China
Jan Torzewski Germany
Takahisa Kondo Japan
Ruiyan Zhang China
Li Zhou China
Margreet R. de Vries Netherlands
Jaana Rysä Finland
Yi Wen China
Mie Kurata relative to Feng Xu China Feng Xu's profile →
Citations per field
00.5×1.5×1.8×
Feng Xu · 1×
Citations per year

Countries citing papers authored by Mie Kurata

Since Specialization
Citations

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

Fields of papers citing papers by Mie Kurata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of interleukin-1 in general pathology
Hit paper breakdown →
2019483
2 2012373
3 2007141
4 201886
5 201075
6 201572
7 200865
8 200961
9 200658
10 201156
11 201756
12 200641
13 201838
14 200637
15 200736
16 200635
17 201831
18 201830
19 202128
20 202027

About Mie Kurata

Mie Kurata is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 92 papers that have together received 2.5k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (9 papers), Bone and Dental Protein Studies (8 papers), Blood Pressure and Hypertension Studies (6 papers), Prostate Cancer Treatment and Research (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Vitamin D Research Studies (6 papers), MRI in cancer diagnosis (5 papers) and Cardiac Valve Diseases and Treatments (5 papers). The work is most often cited by research in Nephrology (196 citations), Cardiology and Cardiovascular Medicine (413 citations), Biological Psychiatry (36 citations), Surgery (587 citations) and Endocrinology, Diabetes and Metabolism (174 citations). Mie Kurata has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Junya Masumoto, Naoe Kaneko, Toshihiro Yamamoto, Shinnosuke Morikawa, Jitsuo Higaki, Takafumi Okura, Jun Irita, Ken‐ichi Miyoshi, Tomikazu Fukuoka and Sanae Watanabe. Their work appears in journals such as Hypertension Research, Inflammation and Regeneration, International Journal of Molecular Sciences, Clinical and Experimental Hypertension and Hypertension.

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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