Hiromichi Ueda

893 citations
17 papers · 694 indexed · 1 hit paper · h-index 9
Topics
Autophagy in Disease and Therapy (4 papers)Cardiac pacing and defibrillation studies (2 papers)Mitochondrial Function and Pathology (2 papers)

In The Last Decade

Hiromichi Ueda

15 papers receiving 683 citations

Hit Papers

Bcl-2-like protein 13 is a mammalian Atg32 homologue that...20152026201820222015100200300

Peers

Hiromichi Ueda
Comparison fields: 5 of 69
  • Epidemiology 382
  • Molecular Biology 371
  • Pulmonary and Respiratory Medicine 87
  • Cardiology and Cardiovascular Medicine 85
  • Cell Biology 77
Replace Stanley Y. Shaw with:
Stanley Y. Shaw United States
Hua Yuan China
Chen‐Ou Zhang United States
Hasan Alsaid France
Julie Fleischer United States
Hongying Gang Canada
Qi Long China
Jantina Manning Australia
Markus A. Engelen Germany
Agnese Petrera Germany
Hiromichi Ueda relative to Stanley Y. Shaw United States Stanley Y. Shaw's profile →
Citations per field
00.5×1.5×2.3×
Stanley Y. Shaw · 1×
Citations per year

Countries citing papers authored by Hiromichi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hiromichi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromichi Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromichi Ueda. A scholar is included among the top collaborators of Hiromichi Ueda 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 Hiromichi Ueda. Hiromichi Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 3
5 5
6 106
7 18
8 29
9 1
10
Bcl-2-like protein 13 is a mammalian Atg32 homologue that mediates mitophagy and mitochondrial fragmentationbreakdown →
390
11 47
12 1
13 0
14 22
15 8
16 28
17 32

About Hiromichi Ueda

Hiromichi Ueda is a scholar working on Nephrology, Physiology and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 694 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Cardiac pacing and defibrillation studies (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Epidemiology (382 citations), Geriatrics and Gerontology (30 citations) and Physiology (33 citations). Hiromichi Ueda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Manabu Taneike, Shigemiki Omiya, Kinya Otsu, Tomokazu Murakawa, Ajay M. Shah, Kazuhiko Nishida, Osamu Yamaguchi, Hiroyuki Nakayama, Takafumi Oka and Toshihiro Takeda. Their work appears in journals such as Nature Communications, Journal of the American College of Cardiology and Circulation Research.

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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