Ryan B. Day
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 4
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- Retinoids in leukemia and cellular processes 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Daniel C. Link (8 shared papers)Takashi Nagasawa (3 shared papers)Joshua N. Borgerding (2 shared papers)Yen‐Michael S. Hsu (2 shared papers)Laura G. Schuettpelz (2 shared papers)Matthew Christopher (2 shared papers)Adam Greenbaum (2 shared papers)Yiyu Dong (2 shared papers)
- Journals
- Blood (5 papers)Nature Medicine (1 paper)Clinical Cancer Research (1 paper)Science Immunology (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Ryan B. Day
16 papers receiving 1.5k citations
Ryan B. Day's Hit Papers
Peers
Comparison fields: 5 of 79
- Hematology 685
- Genetics 384
- Immunology 454
- Oncology 359
- Cancer Research 110
Countries citing papers authored by Ryan B. Day
This map shows the geographic impact of Ryan B. Day'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 Ryan B. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan B. Day more than expected).
Fields of papers citing papers by Ryan B. Day
This network shows the impact of papers produced by Ryan B. Day. 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 Ryan B. Day. The network helps show where Ryan B. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan B. Day, 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 | CXCL12 in early mesenchymal progenitors is required for haematopoietic stem-cell maintenance Hit paper breakdown → | 2013 | 1036 |
| 2 | 2008 | 126 | |
| 3 | 2011 | 71 | |
| 4 | 2022 | 60 | |
| 5 | 2011 | 53 | |
| 6 | 2015 | 52 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 16 | |
| 9 | 2014 | 9 | |
| 10 | 2012 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 3 | |
| 14 | Connective tissue and bone disorders | 2000 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 0 |
About Ryan B. Day
Ryan B. Day is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Chemokine receptors and signaling (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer Cells and Metastasis (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Hematology (685 citations), Genetics (384 citations), Immunology (454 citations), Oncology (359 citations) and Cancer Research (110 citations). Ryan B. Day has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Daniel C. Link, Takashi Nagasawa, Joshua N. Borgerding, Yen‐Michael S. Hsu, Laura G. Schuettpelz, Matthew Christopher, Adam Greenbaum, Yiyu Dong, Loren S. Michel and Jianbo Wang. Their work appears in journals such as Blood, Nature Medicine, Clinical Cancer Research, Science Immunology and Nature.
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.