Takashi Makinodan
- Immunology top 0.5%
- Molecular Biology top 10%
- Physiology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Epidemiology top 5%
- Co-authors
- Marguerite M.B. KayWilliam PetersonGerald B. PriceKatsuiku HirokawaMei‐Ping ChangN. GengozianJ F AlbrightEugene H. Perkins
- Topics
- Immune Cell Function and Interaction (39 papers)Effects of Radiation Exposure (31 papers)T-cell and B-cell Immunology (29 papers)
- Cited by
- AgingImmunologyBiological Psychiatry
- Partner nations
- United StatesJapanCanada
In The Last Decade
Takashi Makinodan
206 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Immunology 2.9k
- Molecular Biology 1.2k
- Physiology 1.1k
- Radiology, Nuclear Medicine and Imaging 842
- Epidemiology 582
Countries citing papers authored by Takashi Makinodan
This map shows the geographic impact of Takashi Makinodan'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 Takashi Makinodan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Makinodan more than expected).
Fields of papers citing papers by Takashi Makinodan
This network shows the impact of papers produced by Takashi Makinodan. 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 Takashi Makinodan. The network helps show where Takashi Makinodan may publish in the future.
Co-authorship network of co-authors of Takashi Makinodan
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Makinodan. A scholar is included among the top collaborators of Takashi Makinodan 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 Takashi Makinodan. Takashi Makinodan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 147 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 24 | |
| 6 | 21 | |
| 7 | 53 | |
| 8 | 33 | |
| 9 | 1 | |
| 10 | Aging, immunity, and arthritic disease | 7 |
| 11 | Age Influence on the Immune Systembreakdown → | 606 |
| 12 | Mechanism, prevention, and restoration of immunologic aging. | 6 |
| 13 | 78 | |
| 14 | Effects of aging on the differentiation and proliferation potentials of cells of the immune system. | 100 |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 15 | |
| 18 | 64 | |
| 19 | 15 | |
| 20 | 12 |
About Takashi Makinodan
Takashi Makinodan is a scholar working on Immunology, Aging and Radiology, Nuclear Medicine and Imaging, having authored 211 papers that have together received 6.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), Effects of Radiation Exposure (31 papers) and T-cell and B-cell Immunology (29 papers). The work is most often cited by research in Aging (282 citations), Immunology (2.9k citations) and Biological Psychiatry (257 citations). Takashi Makinodan has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Marguerite M.B. Kay, William Peterson, Gerald B. Price, Katsuiku Hirokawa, Mei‐Ping Chang, N. Gengozian, J F Albright, Eugene H. Perkins, Julia W. Albright and Steven C. Castle. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.