Takeo Nishimori
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Oncology
- Pharmacology
- Co-authors
- Kazuhiko UmesonoY HirataTadashi TanabeYoshihide TakahashiMasayasu HiraokaRyoko TakahashiHiroshi AmemiyaHideomi Fujiwara
- Topics
- HER2/EGFR in Cancer Research (6 papers)Cancer Treatment and Pharmacology (6 papers)Atrial Fibrillation Management and Outcomes (2 papers)
- Partner nations
- Japan
In The Last Decade
Takeo Nishimori
26 papers receiving 475 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 191
- Molecular Biology 72
- Endocrinology, Diabetes and Metabolism 68
- Oncology 54
- Pharmacology 52
Countries citing papers authored by Takeo Nishimori
This map shows the geographic impact of Takeo Nishimori'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 Takeo Nishimori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeo Nishimori more than expected).
Fields of papers citing papers by Takeo Nishimori
This network shows the impact of papers produced by Takeo Nishimori. 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 Takeo Nishimori. The network helps show where Takeo Nishimori may publish in the future.
Co-authorship network of co-authors of Takeo Nishimori
This figure shows the co-authorship network connecting the top 25 collaborators of Takeo Nishimori. A scholar is included among the top collaborators of Takeo Nishimori 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 Takeo Nishimori. Takeo Nishimori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | Efficacy and Feasibility of Extensive Ablation Encircling Two Ipsilateral Pulmonary Veins in Patients with Paroxysmal Atrial Fibrillation | 0 |
| 10 | The silent period from soleus and gastrocnemius muscles in relation to conditions of standing. | 4 |
| 11 | 33 | |
| 12 | 41 | |
| 13 | 79 | |
| 14 | 37 | |
| 15 | 22 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 0 | |
| 20 | 15 |
About Takeo Nishimori
Takeo Nishimori is a scholar working on Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Cancer Treatment and Pharmacology (6 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (191 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Pharmacology (52 citations). Takeo Nishimori has collaborated with scholars based in Japan. Frequent co-authors include Kazuhiko Umesono, Y Hirata, Tadashi Tanabe, Yoshihide Takahashi, Masayasu Hiraoka, Ryoko Takahashi, Hiroshi Amemiya, Hideomi Fujiwara, Katsumasa Takagi and Yoshito Iesaka. Their work appears in journals such as Circulation, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.