John D. Bagert
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Endocrinology top 10%
Papers in
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- Protein Degradation and Inhibitors 7
- Genomics and Chromatin Dynamics 6
- Chromatin Remodeling and Cancer 3
- Epigenetics and DNA Methylation 3
- Bacterial biofilms and quorum sensing 2
- RNA and protein synthesis mechanisms 2
-
- Click Chemistry and Applications 3
- Co-authors
- Tom W. Muir (8 shared papers)David A. Tirrell (5 shared papers)C. David Allis (4 shared papers)Benjamin A. Nacev (2 shared papers)Lijuan Feng (2 shared papers)Jianjiong Gao (1 shared paper)Ritika Kundra (1 shared paper)Alexey A. Soshnev (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)Nature (2 papers)Nature Chemistry (1 paper)Chemical Science (1 paper)Science (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John D. Bagert
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 960
- Endocrinology 52
- Organic Chemistry 216
- Cell Biology 86
- Oncology 135
Countries citing papers authored by John D. Bagert
This map shows the geographic impact of John D. Bagert'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 John D. Bagert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Bagert more than expected).
Fields of papers citing papers by John D. Bagert
This network shows the impact of papers produced by John D. Bagert. 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 John D. Bagert. The network helps show where John D. Bagert may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Bagert, 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 | 2019 | 257 | |
| 2 | 2010 | 179 | |
| 3 | 2017 | 136 | |
| 4 | 2015 | 118 | |
| 5 | 2014 | 67 | |
| 6 | 2021 | 65 | |
| 7 | 2021 | 58 | |
| 8 | 2020 | 57 | |
| 9 | 2016 | 52 | |
| 10 | 2016 | 50 | |
| 11 | 2010 | 42 | |
| 12 | 2021 | 35 | |
| 13 | 2015 | 17 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 7 |
About John D. Bagert
John D. Bagert is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Endocrinology and Biomedical Engineering, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Genomics and Chromatin Dynamics (6 papers), Chromatin Remodeling and Cancer (3 papers), Click Chemistry and Applications (3 papers), Epigenetics and DNA Methylation (3 papers), Bacterial biofilms and quorum sensing (2 papers), RNA and protein synthesis mechanisms (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Biology (960 citations), Endocrinology (52 citations), Organic Chemistry (216 citations), Cell Biology (86 citations) and Oncology (135 citations). John D. Bagert has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Tom W. Muir, David A. Tirrell, C. David Allis, Benjamin A. Nacev, Lijuan Feng, Jianjiong Gao, Ritika Kundra, Alexey A. Soshnev, Nikolaus Schultz and Alborz Mahdavi. Their work appears in journals such as Journal of the American Chemical Society, Nature, Nature Chemistry, Chemical Science and Science.
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.