Amber McElroy
- Molecular Biology top 10%
- Genetics top 10%
- Oncology
- Cell Biology top 10%
- Business and International Management top 2%
- Co-authors
- Mark J. OsbornJakub TolarBeau R. WebberBruce R. BlazarDavid R. LiuAnthony P. DeFeoSmriti PandeyLily Xia
- Topics
- CRISPR and Genetic Engineering (12 papers)Pluripotent Stem Cells Research (6 papers)Virus-based gene therapy research (5 papers)
- Journals
- ScienceCellNature Communications
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Amber McElroy
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Molecular Biology 909
- Genetics 324
- Oncology 164
- Cell Biology 129
- Business and International Management 79
Countries citing papers authored by Amber McElroy
This map shows the geographic impact of Amber McElroy'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 Amber McElroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber McElroy more than expected).
Fields of papers citing papers by Amber McElroy
This network shows the impact of papers produced by Amber McElroy. 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 Amber McElroy. The network helps show where Amber McElroy may publish in the future.
Co-authorship network of co-authors of Amber McElroy
This figure shows the co-authorship network connecting the top 25 collaborators of Amber McElroy. A scholar is included among the top collaborators of Amber McElroy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amber McElroy. Amber McElroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 5 | |
| 4 | Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editingbreakdown → | 70 |
| 5 | 1 | |
| 6 | Phage-assisted evolution and protein engineering yield compact, efficient prime editorsbreakdown → | 161 |
| 7 | Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activitybreakdown → | 156 |
| 8 | 75 | |
| 9 | 155 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 26 | |
| 13 | 80 | |
| 14 | 91 | |
| 15 | 203 |
About Amber McElroy
Amber McElroy is a scholar working on Business and International Management, Genetics and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Business and International Management (79 citations), Aging (48 citations) and Molecular Biology (909 citations). Amber McElroy has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Mark J. Osborn, Jakub Tolar, Beau R. Webber, Bruce R. Blazar, David R. Liu, Anthony P. DeFeo, Smriti Pandey, Lily Xia, Megan Riddle and Monica E. Neugebauer. Their work appears in journals such as Science, Cell and Nature Communications.
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.