Daniel E. Bauer
- Genetics top 0.2%
- Hemoglobinopathies and Related Disorders 39
- Virus-based gene therapy research 9
- Cancer Research top 0.5%
- Hematology top 0.5%
- Iron Metabolism and Disorders 9
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 48
- Epigenetics and DNA Methylation 13
- RNA modifications and cancer 10
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- Erythrocyte Function and Pathophysiology 14
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- Prenatal Screening and Diagnostics 14
- Co-authors
- Stuart H. OrkinCraig B. ThompsonMatthew C. CanverLuca PinelloGeorgia HatzivassiliouFangping ZhaoCharalambos AndreadisJing Zeng
- Partner nations
- United StatesJapanChina
In The Last Decade
Daniel E. Bauer
103 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Genetics 2.0k
- Cancer Research 2.0k
- Business and International Management 253
- Hematology 1.2k
- Molecular Biology 7.3k
Countries citing papers authored by Daniel E. Bauer
This map shows the geographic impact of Daniel E. Bauer'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 Daniel E. Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Bauer more than expected).
Fields of papers citing papers by Daniel E. Bauer
This network shows the impact of papers produced by Daniel E. Bauer. 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 Daniel E. Bauer. The network helps show where Daniel E. Bauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Bauer, 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 | 2025 | 0 | |
| 2 | Improving prime editing with an endogenous small RNA-binding proteinbreakdown → | 2024 | 107 |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 37 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 57 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 50 | |
| 11 | 2021 | 57 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 205 | |
| 14 | Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activitybreakdown → | 2020 | 633 |
| 15 | 2019 | 70 | |
| 16 | 2018 | 25 | |
| 17 | 2016 | 36 | |
| 18 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis | 2015 | 2 |
| 19 | The mTORC1/4E-BP pathway coordinates hemoglobin production with L-leucine availability | 2015 | 3 |
| 20 | 2012 | 276 |
About Daniel E. Bauer
Daniel E. Bauer is a scholar working on Genetics, Business and International Management and Hematology, having authored 108 papers that have together received 9.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (48 papers), Hemoglobinopathies and Related Disorders (39 papers), Erythrocyte Function and Pathophysiology (14 papers), Prenatal Screening and Diagnostics (14 papers), Epigenetics and DNA Methylation (13 papers), RNA modifications and cancer (10 papers), Virus-based gene therapy research (9 papers) and Iron Metabolism and Disorders (9 papers). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (2.0k citations) and Business and International Management (253 citations). Daniel E. Bauer has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Stuart H. Orkin, Craig B. Thompson, Matthew C. Canver, Luca Pinello, Georgia Hatzivassiliou, Fangping Zhao, Charalambos Andreadis, Jing Zeng, Marian H. Harris and David R. Plas. Their work appears in journals such as Blood, Nature Genetics, Nature Communications, Bioinformatics 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.