Mariko Wakai
- Genetics top 5%
- Immunology top 10%
- Pathology and Forensic Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Co-authors
- Nicholas ChiorazziPhilip SchulmanSteven L. AllenStuart M. LichtmanV. VinciguerraZev SthoegerDoris B. TseDaniel R. Budman
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)Chronic Lymphocytic Leukemia Research (3 papers)Immunodeficiency and Autoimmune Disorders (3 papers)
- Journals
- The Journal of Experimental MedicineAnnals of the New York Academy of SciencesScandinavian Journal of Immunology
- Partner nations
- United StatesJapanItaly
In The Last Decade
Mariko Wakai
11 papers receiving 469 citations
Peers
Comparison fields: 5 of 41
- Genetics 333
- Immunology 326
- Pathology and Forensic Medicine 204
- Radiology, Nuclear Medicine and Imaging 166
- Molecular Biology 52
Countries citing papers authored by Mariko Wakai
This map shows the geographic impact of Mariko Wakai'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 Mariko Wakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Wakai more than expected).
Fields of papers citing papers by Mariko Wakai
This network shows the impact of papers produced by Mariko Wakai. 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 Mariko Wakai. The network helps show where Mariko Wakai may publish in the future.
Co-authorship network of co-authors of Mariko Wakai
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Wakai. A scholar is included among the top collaborators of Mariko Wakai 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 Mariko Wakai. Mariko Wakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Development, Characterization and Isolation of Small Hepatocyte-Like Cells from Primary Culture of Cirrhotic Liver of Biliary Atresia | 1 |
| 2 | 2 | |
| 3 | 114 | |
| 4 | 16 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 247 | |
| 10 | 41 | |
| 11 | 9 |
About Mariko Wakai
Mariko Wakai is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 11 papers that have together received 476 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Genetics (333 citations), Immunology (326 citations) and Pathology and Forensic Medicine (204 citations). Mariko Wakai has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Nicholas Chiorazzi, Philip Schulman, Steven L. Allen, Stuart M. Lichtman, V. Vinciguerra, Zev Sthoeger, Doris B. Tse, Daniel R. Budman, Lora Weiselberg and Shiori Hashimoto. Their work appears in journals such as The Journal of Experimental Medicine, Annals of the New York Academy of Sciences and Scandinavian 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.