Jun Seita
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 1%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 12
- Immunology 21
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 3
- Co-authors
- Irving L. WeissmanDerrick J. RossiMatthew A. InlayDavid BryderJan H.J. HoeijmakersAndré NussenzweigJohn W. FathmanDeepta Bhattacharya
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Nature (5 papers)Nature Communications (4 papers)Stem Cell Reports (3 papers)Blood (2 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Jun Seita
52 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Hematology 1.6k
- Immunology 2.2k
- Aging 142
- Genetics 692
- Molecular Biology 3.0k
Countries citing papers authored by Jun Seita
This map shows the geographic impact of Jun Seita'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 Jun Seita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Seita more than expected).
Fields of papers citing papers by Jun Seita
This network shows the impact of papers produced by Jun Seita. 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 Jun Seita. The network helps show where Jun Seita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Seita, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 5 | |
| 8 | A molecular cell atlas of the human lung from single-cell RNA sequencing Hit paper breakdown → | 2020 | 840 |
| 9 | 2020 | 20 | |
| 10 | 2019 | 59 | |
| 11 | 2018 | 91 | |
| 12 | 2014 | 36 | |
| 13 | 2014 | 326 | |
| 14 | 2014 | 47 | |
| 15 | 2012 | 87 | |
| 16 | 2008 | 101 | |
| 17 | Deficiencies in DNA damage repair limit the function of haematopoietic stem cells with age Hit paper breakdown → | 2007 | 852 |
| 18 | 2007 | 123 | |
| 19 | 2006 | 137 | |
| 20 | 2005 | 147 |
About Jun Seita
Jun Seita is a scholar working on Hematology, Immunology, Dermatology, Genetics and Cell Biology, having authored 54 papers that have together received 6.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), Pluripotent Stem Cells Research (5 papers), Single-cell and spatial transcriptomics (4 papers), Zebrafish Biomedical Research Applications (4 papers), Immunotherapy and Immune Responses (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Hematology (1.6k citations), Immunology (2.2k citations), Aging (142 citations), Genetics (692 citations) and Molecular Biology (3.0k citations). Jun Seita has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Irving L. Weissman, Derrick J. Rossi, Matthew A. Inlay, David Bryder, Jan H.J. Hoeijmakers, André Nussenzweig, John W. Fathman, Deepta Bhattacharya, Rahul Sinha and Hiromitsu Nakauchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Nature Communications, Stem Cell Reports 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.