Jeff Bailey
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Blood groups and transfusion
-
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 4
- Retinal Development and Disorders 4
- Genomics and Chromatin Dynamics 3
- RNA Interference and Gene Delivery 3
- Co-authors
- David A. Williams (8 shared papers)Dzwokai Ma (6 shared papers)Xue‐hai Liang (2 shared papers)Stanley T. Crooke (2 shared papers)José A. Cancelas (2 shared papers)Gabriel Ghiaur (3 shared papers)Karen K. Szumlinski (2 shared papers)Wen Shen (1 shared paper)
- Journals
- Blood (5 papers)Journal of Biological Chemistry (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jeff Bailey
26 papers receiving 626 citations
Peers
Comparison fields: 5 of 71
- Hematology 127
- Genetics 78
- Molecular Biology 414
- Genetics 135
- Cell Biology 70
Countries citing papers authored by Jeff Bailey
This map shows the geographic impact of Jeff Bailey'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 Jeff Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Bailey more than expected).
Fields of papers citing papers by Jeff Bailey
This network shows the impact of papers produced by Jeff Bailey. 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 Jeff Bailey. The network helps show where Jeff Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Bailey, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Direct reversal of DNA damage by mutant methyltransferase protein protects mice against dose-intensified chemotherapy and leads to in vivo selection of hematopoietic stem cells. | 2000 | 103 |
| 2 | 2006 | 63 | |
| 3 | 2009 | 53 | |
| 4 | 2017 | 49 | |
| 5 | 2007 | 48 | |
| 6 | 2017 | 47 | |
| 7 | 2011 | 46 | |
| 8 | 2015 | 30 | |
| 9 | 1980 | 27 | |
| 10 | 2007 | 20 | |
| 11 | 2008 | 20 | |
| 12 | 2010 | 18 | |
| 13 | 2009 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 2010 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 6 |
About Jeff Bailey
Jeff Bailey is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 636 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (4 papers), Retinal Development and Disorders (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience and Neural Engineering (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (127 citations), Genetics (78 citations), Molecular Biology (414 citations), Genetics (135 citations) and Cell Biology (70 citations). Jeff Bailey has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David A. Williams, Dzwokai Ma, Xue‐hai Liang, Stanley T. Crooke, José A. Cancelas, Gabriel Ghiaur, Karen K. Szumlinski, Wen Shen, Meng Xu‐Welliver and Susanne Ragg. Their work appears in journals such as Blood, Journal of Biological Chemistry, Nucleic Acids Research, PLoS ONE and Molecular Therapy.
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.