Miki Ando
Impact in
-
- CAR-T cell therapy research
- Viral-associated cancers and disorders
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 20
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Hematology 18
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- Jun Ando (30 shared papers)Kazuo Oshimi (9 shared papers)Hiromitsu Nakauchi (9 shared papers)Koichi Sugimoto (6 shared papers)Makoto Sasaki (7 shared papers)Sheldon M. Schuster (1 shared paper)Motoki Egashira (1 shared paper)Toshiyuki Kitoh (1 shared paper)
- Journals
- International Journal of Hematology (6 papers)Experimental Hematology (4 papers)European Journal Of Haematology (3 papers)British Journal of Haematology (3 papers)Heliyon (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Miki Ando
64 papers receiving 542 citations
Peers
Comparison fields: 5 of 70
- Oncology 239
- Pathology and Forensic Medicine 138
- Immunology 153
- Genetics 60
- Hematology 51
Countries citing papers authored by Miki Ando
This map shows the geographic impact of Miki Ando'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 Miki Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miki Ando more than expected).
Fields of papers citing papers by Miki Ando
This network shows the impact of papers produced by Miki Ando. 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 Miki Ando. The network helps show where Miki Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside Miki Ando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 145 | |
| 2 | 2021 | 34 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2016 | 23 | |
| 6 | 2007 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 1993 | 14 | |
| 12 | 2006 | 14 | |
| 13 | 2008 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 6 |
About Miki Ando
Miki Ando is a scholar working on Genetics, Hematology, Oncology, Neurology and Pathology and Forensic Medicine, having authored 74 papers that have together received 552 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), CAR-T cell therapy research (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (10 papers), Eosinophilic Disorders and Syndromes (7 papers), Immune Cell Function and Interaction (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Oncology (239 citations), Pathology and Forensic Medicine (138 citations), Immunology (153 citations), Genetics (60 citations) and Hematology (51 citations). Miki Ando has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Jun Ando, Kazuo Oshimi, Hiromitsu Nakauchi, Koichi Sugimoto, Makoto Sasaki, Sheldon M. Schuster, Motoki Egashira, Toshiyuki Kitoh, Norio Komatsu and Midori Ishii. Their work appears in journals such as International Journal of Hematology, Experimental Hematology, European Journal Of Haematology, British Journal of Haematology and Heliyon.
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.