Megan N. McClean
- Molecular Biology top 10%
- Biomedical Engineering
- Plant Science top 10%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Sharad RamanathanPascal HersenL. MahadevanJames R. BroachAgnès MiermontShiqiong HuFrançois WaharteSamuel Bottani
- Topics
- Gene Regulatory Network Analysis (13 papers)Fungal and yeast genetics research (12 papers)Photoreceptor and optogenetics research (8 papers)
- Cited by
- BiophysicsAgingMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Megan N. McClean
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 805
- Biomedical Engineering 197
- Plant Science 180
- Cell Biology 115
- Cellular and Molecular Neuroscience 109
Countries citing papers authored by Megan N. McClean
This map shows the geographic impact of Megan N. McClean'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 Megan N. McClean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan N. McClean more than expected).
Fields of papers citing papers by Megan N. McClean
This network shows the impact of papers produced by Megan N. McClean. 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 Megan N. McClean. The network helps show where Megan N. McClean may publish in the future.
Co-authorship network of co-authors of Megan N. McClean
This figure shows the co-authorship network connecting the top 25 collaborators of Megan N. McClean. A scholar is included among the top collaborators of Megan N. McClean 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 Megan N. McClean. Megan N. McClean 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 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 32 | |
| 10 | 107 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 59 | |
| 15 | 17 | |
| 16 | 52 | |
| 17 | 6 | |
| 18 | 105 | |
| 19 | 7 | |
| 20 | 117 |
About Megan N. McClean
Megan N. McClean is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Fungal and yeast genetics research (12 papers) and Photoreceptor and optogenetics research (8 papers). The work is most often cited by research in Biophysics (88 citations), Aging (24 citations) and Molecular Biology (805 citations). Megan N. McClean has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Sharad Ramanathan, Pascal Hersen, L. Mahadevan, James R. Broach, Agnès Miermont, Shiqiong Hu, François Waharte, Samuel Bottani, Sébastien Léon and Sanford J. Silverman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.
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.