Akiko Toda
- Molecular Biology
- Physiology top 10%
- Immunology top 10%
- Nephrology top 5%
- Epidemiology
- Co-authors
- Takao ShimizuTakehiko YokomizoMizuki TaniMinoru YamakadoYuko IshizakaCiriaco A. PiccirilloNobukazu IshizakaKenji Nagao
- Topics
- Liver Disease Diagnosis and Treatment (5 papers)Asthma and respiratory diseases (5 papers)Chronic Kidney Disease and Diabetes (4 papers)
- Cited by
- NephrologyPhysiologyImmunology
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akiko Toda
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 381
- Physiology 353
- Immunology 274
- Nephrology 192
- Epidemiology 180
Countries citing papers authored by Akiko Toda
This map shows the geographic impact of Akiko Toda'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 Akiko Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Toda more than expected).
Fields of papers citing papers by Akiko Toda
This network shows the impact of papers produced by Akiko Toda. 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 Akiko Toda. The network helps show where Akiko Toda may publish in the future.
Co-authorship network of co-authors of Akiko Toda
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Toda. A scholar is included among the top collaborators of Akiko Toda 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 Akiko Toda. Akiko Toda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | Clinical Characteristics of a Japanese Subpopulation with Low Plasma Free Essential and Semi-essential Amino Acid Levels | 1 |
| 6 | Study on Usefulness of AminoIndex Cancer Screening as a Novel Cancer Screening Method-Third Report- | 3 |
| 7 | 139 | |
| 8 | 13 | |
| 9 | 33 | |
| 10 | 17 | |
| 11 | 45 | |
| 12 | 13 | |
| 13 | 20 | |
| 14 | 68 | |
| 15 | 133 | |
| 16 | 1 | |
| 17 | 89 | |
| 18 | 17 | |
| 19 | 34 | |
| 20 | 36 |
About Akiko Toda
Akiko Toda is a scholar working on Nephrology, Immunology and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Asthma and respiratory diseases (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Nephrology (192 citations), Physiology (353 citations) and Immunology (274 citations). Akiko Toda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takao Shimizu, Takehiko Yokomizo, Mizuki Tani, Minoru Yamakado, Yuko Ishizaka, Ciriaco A. Piccirillo, Nobukazu Ishizaka, Kenji Nagao, Takayuki Tanaka and Hiroshi Miyano. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.
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.