Akiko Chai
- Pathology and Forensic Medicine top 10%
- Oncology
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Co-authors
- Giulio RizzoliDelos M. CosgroveW.R. Eric JamiesonJohn H. LemmerNancy J. O. BirkmeyerD. Craig MillerEugene H. BlackstoneEric G. Butchart
- Topics
- Lymphoma Diagnosis and Treatment (10 papers)Chronic Lymphocytic Leukemia Research (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Akiko Chai
21 papers receiving 687 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 199
- Oncology 193
- Genetics 176
- Cardiology and Cardiovascular Medicine 159
- Molecular Biology 129
Countries citing papers authored by Akiko Chai
This map shows the geographic impact of Akiko Chai'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 Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Chai more than expected).
Fields of papers citing papers by Akiko Chai
This network shows the impact of papers produced by Akiko Chai. 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 Chai. The network helps show where Akiko Chai may publish in the future.
Co-authorship network of co-authors of Akiko Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Chai. A scholar is included among the top collaborators of Akiko Chai 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 Chai. Akiko Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 20 | |
| 3 | 11 | |
| 4 | 151 | |
| 5 | 34 | |
| 6 | 122 | |
| 7 | 19 | |
| 8 | 20 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | Final Results of a Phase I Study of the Anti-CD79b Antibody-Drug Conjugate DCDS4501A (Polatuzumab Vedotin) in Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma 4400 | 1 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 61 | |
| 15 | 162 | |
| 16 | Pharmacokinetic modeling and absorbed dose estimation for chimeric anti-CEA antibody in humans. | 14 |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 16 | |
| 20 | 16 |
About Akiko Chai
Akiko Chai is a scholar working on Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 710 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Genetics (176 citations), Pathology and Forensic Medicine (199 citations) and Oncology (193 citations). Akiko Chai has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Giulio Rizzoli, Delos M. Cosgrove, W.R. Eric Jamieson, John H. Lemmer, Nancy J. O. Birkmeyer, D. Craig Miller, Eugene H. Blackstone, Eric G. Butchart, Magdi H. Yacoub and Deborah Hurst. Their work appears in journals such as Journal of Clinical Oncology, Blood and Gastroenterology.
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.