Monique V. Davies
- Molecular Biology top 2%
- Physiology top 2%
- Genetics top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Cell Biology top 2%
- Co-authors
- Randal J. KaufmanNeil M. WolfmanJohn W.B. HersheySe‐Jin LeeAlexandra C. McPherronEckard WimmerVinay K. PathakSung Key Jang
- Topics
- RNA and protein synthesis mechanisms (12 papers)Muscle Physiology and Disorders (9 papers)RNA regulation and disease (8 papers)
- Cited by
- VirologyMolecular BiologyGenetics
- Partner nations
- United StatesHungaryCanada
In The Last Decade
Monique V. Davies
35 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 3.7k
- Physiology 855
- Genetics 821
- Cardiology and Cardiovascular Medicine 812
- Cell Biology 648
Countries citing papers authored by Monique V. Davies
This map shows the geographic impact of Monique V. Davies'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 Monique V. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monique V. Davies more than expected).
Fields of papers citing papers by Monique V. Davies
This network shows the impact of papers produced by Monique V. Davies. 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 Monique V. Davies. The network helps show where Monique V. Davies may publish in the future.
Co-authorship network of co-authors of Monique V. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Monique V. Davies. A scholar is included among the top collaborators of Monique V. Davies 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 Monique V. Davies. Monique V. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 36 | |
| 3 | 20 | |
| 4 | Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesisbreakdown → | 346 |
| 5 | 104 | |
| 6 | 113 | |
| 7 | 3 | |
| 8 | 52 | |
| 9 | 17 | |
| 10 | 386 | |
| 11 | 112 | |
| 12 | 11 | |
| 13 | 231 | |
| 14 | 23 | |
| 15 | 64 | |
| 16 | 223 | |
| 17 | 58 | |
| 18 | 373 | |
| 19 | 147 | |
| 20 | 51 |
About Monique V. Davies
Monique V. Davies is a scholar working on Virology, Molecular Biology and Hematology, having authored 36 papers that have together received 5.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Muscle Physiology and Disorders (9 papers) and RNA regulation and disease (8 papers). The work is most often cited by research in Virology (268 citations), Molecular Biology (3.7k citations) and Genetics (525 citations). Monique V. Davies has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Randal J. Kaufman, Neil M. Wolfman, John W.B. Hershey, Se‐Jin Lee, Alexandra C. McPherron, Eckard Wimmer, Vinay K. Pathak, Sung Key Jang, L C Wasley and Leonidas G. Koniaris. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.