Takeyuki Abe
- Mechanical Engineering top 5%
- Automotive Engineering top 5%
- Biomaterials
- Materials Chemistry
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Hiroyuki SASAHARAJunichi H. KanekoKunio TanakaFumio ShishikuraShinichiro NishiyamaMasanobu NakamuraDaiki MoriKentaro Nakajima
- Topics
- Additive Manufacturing Materials and Processes (22 papers)Additive Manufacturing and 3D Printing Technologies (16 papers)Welding Techniques and Residual Stresses (12 papers)
- Partner nations
- Japan
In The Last Decade
Takeyuki Abe
36 papers receiving 515 citations
Peers
Comparison fields: 5 of 62
- Mechanical Engineering 422
- Automotive Engineering 259
- Biomaterials 45
- Materials Chemistry 44
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Takeyuki Abe
This map shows the geographic impact of Takeyuki Abe'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 Takeyuki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeyuki Abe more than expected).
Fields of papers citing papers by Takeyuki Abe
This network shows the impact of papers produced by Takeyuki Abe. 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 Takeyuki Abe. The network helps show where Takeyuki Abe may publish in the future.
Co-authorship network of co-authors of Takeyuki Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Takeyuki Abe. A scholar is included among the top collaborators of Takeyuki Abe 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 Takeyuki Abe. Takeyuki Abe 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | The phagocytes in hemolymph of Halocynthia roretzi and their phagocytic activity | 34 |
| 16 | 3 | |
| 17 | PURIFICATION OF THE PLASMA AMIDOLYTIC ENZYME-INHIBITING SUBSTANCE IN THE HEMOLYMPH OF AN ASCIDIAN, HALOCYNTHIA RORETZI : Biochemistry : Abstracts of papers presented at the 60th Annual Meeting of the Zoological Society of Japan | 1 |
| 18 | 1 | |
| 19 | Development of IHI wide range pulverized coal burner. | 0 |
| 20 | 1 |
About Takeyuki Abe
Takeyuki Abe is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 533 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (22 papers), Additive Manufacturing and 3D Printing Technologies (16 papers) and Welding Techniques and Residual Stresses (12 papers). The work is most often cited by research in Automotive Engineering (259 citations), Mechanical Engineering (422 citations) and Industrial and Manufacturing Engineering (41 citations). Takeyuki Abe has collaborated with scholars based in Japan. Frequent co-authors include Hiroyuki SASAHARA, Junichi H. Kaneko, Kunio Tanaka, Fumio Shishikura, Shinichiro Nishiyama, Masanobu Nakamura, Daiki Mori, Kentaro Nakajima, Toshiki Saito and Y. Goto. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Clinical Neurophysiology and Materials.
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.