Jeff Bailey
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Blood groups and transfusion
-
- Virus-based gene therapy research
Papers in
-
- DNA Repair Mechanisms 4
- Retinal Development and Disorders 4
- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 3
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 2
- Pluripotent Stem Cells Research 2
- 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)Karen K. Szumlinski (2 shared papers)José A. Cancelas (2 shared papers)Gabriel Ghiaur (3 shared papers)Wen Shen (1 shared paper)
- Journals
- Blood (5 papers)PLoS ONE (2 papers)Journal of Biological Chemistry (2 papers)Nucleic Acids Research (2 papers)Addiction Biology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jeff Bailey
26 papers receiving 670 citations
Peers
Comparison fields: 5 of 69
- Hematology 129
- Genetics 69
- Molecular Biology 425
- Genetics 138
- Ophthalmology 36
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 | 107 |
| 2 | 2006 | 67 | |
| 3 | 2009 | 57 | |
| 4 | 2007 | 55 | |
| 5 | 2017 | 55 | |
| 6 | 2017 | 54 | |
| 7 | 2011 | 53 | |
| 8 | 2015 | 29 | |
| 9 | 1980 | 28 | |
| 10 | 2008 | 23 | |
| 11 | 2007 | 20 | |
| 12 | 2023 | 20 | |
| 13 | 2012 | 19 | |
| 14 | 2009 | 19 | |
| 15 | 2010 | 18 | |
| 16 | 2010 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 6 |
About Jeff Bailey
Jeff Bailey is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 26 papers that have together received 686 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Retinal Development and Disorders (4 papers), CRISPR and Genetic Engineering (4 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Genomics and Chromatin Dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Hematology (129 citations), Genetics (69 citations), Molecular Biology (425 citations), Genetics (138 citations) and Ophthalmology (36 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, Karen K. Szumlinski, José A. Cancelas, Gabriel Ghiaur, Wen Shen, Saurabh Chandra and Maria D’Souza. Their work appears in journals such as Blood, PLoS ONE, Journal of Biological Chemistry, Nucleic Acids Research and Addiction Biology.
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.