Jeff Bailey

919 citations
26 papers · 726 · h-index 15

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Retinal Development and Disorders
    • DNA Repair Mechanisms
    • RNA Interference and Gene Delivery
    • Pluripotent Stem Cells Research

Papers in

Jeff Bailey

26 papers receiving 713 citations

Peers

Jeff Bailey
Comparison fields: 5 of 50
  • Hematology 125
  • Molecular Biology 372
  • Ophthalmology 53
  • Genetics 134
  • Cellular and Molecular Neuroscience 56
Replace Umberto Di Vicino with:
Umberto Di Vicino Italy
Shanta Alli United States
Lesley A Everett United States
Rajendran Sanalkumar United States
Dawid P. Grzela Poland
Mark W. Ravera United States
Mariacarmela Allocca Italy
Jafar S. Jabbari Australia
Laurent Magnenat United States
Manish Muhuri United States
Jeff Bailey relative to Umberto Di Vicino Italy Umberto Di Vicino's profile →
Citations per field
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Umberto Di Vicino · 1×
Citations per year

Countries citing papers authored by Jeff Bailey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeff Bailey Line = papers co-authored together Jeff Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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.
2000106
2 200670
3 201761
4 202160
5 200755
6 201755
7 201153
8 202239
9 201529
10 202327
11 200724
12 200822
13 200921
14 201019
15 201219
16 201014
17 202113
18 202213
19 20247
20 20226

About Jeff Bailey

Jeff Bailey is a scholar working on Hematology, Ophthalmology, Molecular Biology, Cell Biology and Genetics, having authored 26 papers that have together received 726 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Retinal Diseases and Treatments (5 papers), Retinal Development and Disorders (5 papers), Virus-based gene therapy research (3 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Extracellular vesicles in disease (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Hematology (125 citations), Molecular Biology (372 citations), Ophthalmology (53 citations), Genetics (134 citations) and Cellular and Molecular Neuroscience (56 citations). Jeff Bailey has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David A. Williams, Dzwokai Ma, Stanley T. Crooke, Xue‐hai Liang, José A. Cancelas, Gabriel Ghiaur, Karen Kathleen Szumlinski, Wen Shen, Saurabh Chandra and Yi Zheng. 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.

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