Joshua E. Mayfield
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
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- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
Papers in
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- RNA Research and Splicing 8
- Ubiquitin and proteasome pathways 7
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 5
- Signaling Pathways in Disease 2
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- Cellular transport and secretion 3
- Co-authors
- Yan ZhangJack E. DixonSourav BanerjeeJunyu XiaoApollina GoelXing GuoChenggong JiS.D. Yogesha
- Journals
- Journal of Biological Chemistry (3 papers)ACS Chemical Biology (3 papers)Nature Communications (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Joshua E. Mayfield
20 papers receiving 569 citations
Peers
Comparison fields: 5 of 90
- Molecular Medicine 42
- Molecular Biology 440
- Cell Biology 87
- Aging 5
- Oncology 64
Countries citing papers authored by Joshua E. Mayfield
This map shows the geographic impact of Joshua E. Mayfield'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 Joshua E. Mayfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua E. Mayfield more than expected).
Fields of papers citing papers by Joshua E. Mayfield
This network shows the impact of papers produced by Joshua E. Mayfield. 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 Joshua E. Mayfield. The network helps show where Joshua E. Mayfield may publish in the future.
Co-authors
The 25 scholars most cited alongside Joshua E. Mayfield, 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 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 41 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 46 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 131 | |
| 12 | 2018 | 26 | |
| 13 | 2017 | 50 | |
| 14 | 2016 | 28 | |
| 15 | 2016 | 23 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 23 | |
| 18 | 2014 | 8 | |
| 19 | 2013 | 59 | |
| 20 | 2012 | 29 |
About Joshua E. Mayfield
Joshua E. Mayfield is a scholar working on Molecular Biology, Cell Biology, Physiology, Molecular Medicine and Oncology, having authored 20 papers that have together received 579 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Ubiquitin and proteasome pathways (7 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers), Cellular transport and secretion (3 papers), Signaling Pathways in Disease (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Molecular Medicine (42 citations), Molecular Biology (440 citations), Cell Biology (87 citations), Aging (5 citations) and Oncology (64 citations). Joshua E. Mayfield has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yan Zhang, Jack E. Dixon, Sourav Banerjee, Junyu Xiao, Apollina Goel, Xing Guo, Chenggong Ji, S.D. Yogesha, Mengmeng Zhang and Gordon N. Gill. Their work appears in journals such as Journal of Biological Chemistry, ACS Chemical Biology, Nature Communications, eLife and Proceedings of the National Academy of Sciences.
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.