Naoya Uchida
- Genetics top 1%
- Virus-based gene therapy research 40
- Hemoglobinopathies and Related Disorders 30
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 12
- Genetics top 5%
- Virus-based gene therapy research 40
- Hemoglobinopathies and Related Disorders 30
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 24
- RNA Interference and Gene Delivery 19
- Pluripotent Stem Cells Research 9
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- CAR-T cell therapy research 12
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- Erythrocyte Function and Pathophysiology 11
- Co-authors
- John F. TisdaleMatthew M. HsiehSelami DemirciJuan J. Haro‐MoraRobert E. DonahueAylin BonifacinoMark E. MetzgerJun Hayakawa
- Cited by
- GeneticsHematology
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)Blood (15 papers)
- Partner nations
- United StatesJapanSaudi Arabia
In The Last Decade
Naoya Uchida
87 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Genetics 669
- Hematology 534
- Genetics 611
- Business and International Management 34
- Molecular Biology 1.2k
Countries citing papers authored by Naoya Uchida
This map shows the geographic impact of Naoya Uchida'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 Naoya Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Uchida more than expected).
Fields of papers citing papers by Naoya Uchida
This network shows the impact of papers produced by Naoya Uchida. 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 Naoya Uchida. The network helps show where Naoya Uchida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoya Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 22 | |
| 11 | 2017 | 1 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 17 | |
| 15 | 2011 | 201 | |
| 16 | 2011 | 29 | |
| 17 | 2010 | 187 | |
| 18 | 2010 | 33 | |
| 19 | 2010 | 35 | |
| 20 | 2004 | 1 |
About Naoya Uchida
Naoya Uchida is a scholar working on Genetics, Hematology and Genetics, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), Hemoglobinopathies and Related Disorders (30 papers), CRISPR and Genetic Engineering (24 papers), RNA Interference and Gene Delivery (19 papers), Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (12 papers), Erythrocyte Function and Pathophysiology (11 papers) and Pluripotent Stem Cells Research (9 papers). The work is most often cited by research in Genetics (669 citations), Hematology (534 citations) and Genetics (611 citations). Naoya Uchida has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include John F. Tisdale, Matthew M. Hsieh, Selami Demirci, Juan J. Haro‐Mora, Robert E. Donahue, Aylin Bonifacino, Mark E. Metzger, Jun Hayakawa, Kareem Washington and Claire Drysdale. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Blood.
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.