Mikako Katagiri

591 total citations
7 papers, 142 citations indexed

About

Mikako Katagiri is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Mikako Katagiri has authored 7 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Physiology. Recurrent topics in Mikako Katagiri's work include Sarcoidosis and Beryllium Toxicity Research (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Mikako Katagiri is often cited by papers focused on Sarcoidosis and Beryllium Toxicity Research (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Mikako Katagiri collaborates with scholars based in Japan, Singapore and United States. Mikako Katagiri's co-authors include Issei Komuro, Seitaro Nomura, Shintaro Yamada, Kaoru Ito, Yusuke Adachi, Eiki Takimoto, Hironori Waki, Masaki Hashimoto, Norifumi Takeda and Genri Numata and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Wound Repair and Regeneration.

In The Last Decade

Mikako Katagiri

6 papers receiving 140 citations

Peers

Mikako Katagiri
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 61
  • Physiology 41
  • Surgery 31
  • Molecular Biology 30
  • Epidemiology 29
Replace Shouyuan Ma with:
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Seung-Min Lee South Korea
Stevan D. Stojanović Germany
Yingxian Sun China
Sandro Marini United States
Richard Varcoe United Kingdom
Simina‐Ramona Selejan Germany
Sanae Saka Japan
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Shouyuan Ma China View profile →
Citations per field, relative to Mikako Katagiri
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Citations per year, relative to Mikako Katagiri
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Countries citing papers authored by Mikako Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Mikako Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikako Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Mikako Katagiri. A scholar is included among the top collaborators of Mikako Katagiri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikako Katagiri. Mikako Katagiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 3
2 18
3 15
4 84
5 0
6 1
7 21

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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