Takatoshi Inoue
- Immunology top 5%
- Molecular Biology
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Co-authors
- Yoshiharu KanayamaNobuo NegoroT. TakedaM. OkamuraN TamuraK NomotoGoro MatsuzakiYasunobu Yoshikai
- Topics
- Monoclonal and Polyclonal Antibodies Research (10 papers)Systemic Lupus Erythematosus Research (9 papers)Immunodeficiency and Autoimmune Disorders (5 papers)
- Cited by
- ImmunologyRheumatologyNephrology
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takatoshi Inoue
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Immunology 593
- Molecular Biology 340
- Rheumatology 332
- Radiology, Nuclear Medicine and Imaging 224
- Epidemiology 167
Countries citing papers authored by Takatoshi Inoue
This map shows the geographic impact of Takatoshi Inoue'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 Takatoshi Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takatoshi Inoue more than expected).
Fields of papers citing papers by Takatoshi Inoue
This network shows the impact of papers produced by Takatoshi Inoue. 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 Takatoshi Inoue. The network helps show where Takatoshi Inoue may publish in the future.
Co-authorship network of co-authors of Takatoshi Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Takatoshi Inoue. A scholar is included among the top collaborators of Takatoshi Inoue 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 Takatoshi Inoue. Takatoshi Inoue 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 | 33 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 52 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 35 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 165 | |
| 17 | 5 | |
| 18 | A case of hydralazine-induced lupus erythematosus with circulating antibodies to native DNA. | 2 |
| 19 | 8 | |
| 20 | Immunofluorescent Staining of Human Chromosomes by Antinuclear Antibodies | 1 |
About Takatoshi Inoue
Takatoshi Inoue is a scholar working on Immunology, Equine and Rheumatology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Systemic Lupus Erythematosus Research (9 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Immunology (593 citations), Rheumatology (332 citations) and Nephrology (87 citations). Takatoshi Inoue has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshiharu Kanayama, Nobuo Negoro, T. Takeda, M. Okamura, N Tamura, K Nomoto, Goro Matsuzaki, Yasunobu Yoshikai, K Iida and T Fujita. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.