Jun Takahashi
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Co-authors
- Nobuo HashimotoHiroaki ShimokawaSatoshi MiyataYasuhiko SakataKotaro NochiokaMasanobu MiuraHiroshi HoriuchiKunio Takaoka
- Topics
- Heart Failure Treatment and Management (20 papers)Cardiovascular Function and Risk Factors (20 papers)Scoliosis diagnosis and treatment (20 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Jun Takahashi
186 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 794
- Surgery 767
- Cellular and Molecular Neuroscience 490
- Neurology 426
Countries citing papers authored by Jun Takahashi
This map shows the geographic impact of Jun Takahashi'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 Jun Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takahashi more than expected).
Fields of papers citing papers by Jun Takahashi
This network shows the impact of papers produced by Jun Takahashi. 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 Jun Takahashi. The network helps show where Jun Takahashi may publish in the future.
Co-authorship network of co-authors of Jun Takahashi
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Takahashi. A scholar is included among the top collaborators of Jun Takahashi 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 Jun Takahashi. Jun Takahashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 25 | |
| 16 | 41 | |
| 17 | 54 | |
| 18 | 10 | |
| 19 | Load Fluctuation-Based Dynamic File Allocation with Cost-Effective Mirror Function | 1 |
| 20 | [Pineal metastatic tumor from lung cancer initially caused by neurological abnormalities of pineal body tumor]. | 9 |
About Jun Takahashi
Jun Takahashi is a scholar working on Orthopedics and Sports Medicine, Developmental Neuroscience and Cardiology and Cardiovascular Medicine, having authored 198 papers that have together received 4.2k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (20 papers), Cardiovascular Function and Risk Factors (20 papers) and Scoliosis diagnosis and treatment (20 papers). The work is most often cited by research in Developmental Neuroscience (314 citations), Cardiology and Cardiovascular Medicine (794 citations) and Genetics (335 citations). Jun Takahashi has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Nobuo Hashimoto, Hiroaki Shimokawa, Satoshi Miyata, Yasuhiko Sakata, Kotaro Nochioka, Masanobu Miura, Hiroshi Horiuchi, Kunio Takaoka, Takao Okada and Kazutoshi Nozaki. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.