Mika Mori

810 citations
46 papers · 598 · h-index 12

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 7
    • Cardiac Structural Anomalies and Repair 5
    • Cardiac Valve Diseases and Treatments 6
    • Cardiac tumors and thrombi 5
    • Lipid metabolism and disorders 4

Mika Mori

42 papers receiving 576 citations

Peers

Mika Mori
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 172
  • Gastroenterology 55
  • Cardiology and Cardiovascular Medicine 168
  • Surgery 307
  • Cancer Research 74
Replace Kyoko Yoneda with:
Kyoko Yoneda Japan
Muhammad Ali Khan United States
Vaishali Patel United States
Liu Gao China
J N Baxter United Kingdom
Li‐Chiu Wu Taiwan
Conxita Jacobs-Cachá Spain
Kyle J. Thompson United States
Murat Kıyıcı Türkiye
Joel Omar Jáquez-Quintana Mexico
Mika Mori relative to Kyoko Yoneda Japan Kyoko Yoneda's profile →
Citations per field
00.5×2.7×
Kyoko Yoneda · 1×
Citations per year

Countries citing papers authored by Mika Mori

Since Specialization
Citations

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

Fields of papers citing papers by Mika Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 201082
3 201464
4 200245
5 200733
6 200732
7 201125
8 200624
9 201924
10 201020
11 200818
12 201814
13 201511
14 199810
15 20157
16 20056
17 20165
18 20165
19 20204
20 20214

About Mika Mori

Mika Mori is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 46 papers that have together received 598 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Cardiac Valve Diseases and Treatments (6 papers), Cardiac Structural Anomalies and Repair (5 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiac tumors and thrombi (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (4 papers) and Gastroesophageal reflux and treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Gastroenterology (55 citations), Cardiology and Cardiovascular Medicine (168 citations), Surgery (307 citations) and Cancer Research (74 citations). Mika Mori has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Masa‐aki Kawashiri, Masakazu Yamagishi, Atsushi Nohara, Hiroshi Mabuchi, Junji Kobayashi, Hayato Tada, Akihiro Inazu, Tohru Noguchi, Chiaki Nakanishi and Junji Koizumi. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Diabetic Medicine, International Journal of Hematology, Atherosclerosis and Pediatric Blood & Cancer.

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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