Michelle L. Previtera
- Molecular Biology
- Cell Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Immunology
- Co-authors
- Amitabha SenguptaBonnie L. FiresteinChristopher G. LanghammerNoshir A. LangranaEric S. SweetRene SchlossDevendra VermaJosé R. Fernández
- Topics
- Cellular Mechanics and Interactions (12 papers)3D Printing in Biomedical Research (6 papers)Hydrogels: synthesis, properties, applications (5 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Michelle L. Previtera
20 papers receiving 526 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 196
- Cell Biology 193
- Cellular and Molecular Neuroscience 147
- Biomedical Engineering 121
- Immunology 54
Countries citing papers authored by Michelle L. Previtera
This map shows the geographic impact of Michelle L. Previtera'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 Michelle L. Previtera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle L. Previtera more than expected).
Fields of papers citing papers by Michelle L. Previtera
This network shows the impact of papers produced by Michelle L. Previtera. 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 Michelle L. Previtera. The network helps show where Michelle L. Previtera may publish in the future.
Co-authorship network of co-authors of Michelle L. Previtera
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Previtera. A scholar is included among the top collaborators of Michelle L. Previtera 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 Michelle L. Previtera. Michelle L. Previtera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 140 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 42 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 114 | |
| 16 | 39 | |
| 17 | 48 | |
| 18 | 23 | |
| 19 | 1 | |
| 20 | 26 |
About Michelle L. Previtera
Michelle L. Previtera is a scholar working on Molecular Medicine, Cell Biology and Aging, having authored 22 papers that have together received 527 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), 3D Printing in Biomedical Research (6 papers) and Hydrogels: synthesis, properties, applications (5 papers). The work is most often cited by research in Cell Biology (193 citations), Developmental Neuroscience (38 citations) and Cellular and Molecular Neuroscience (147 citations). Michelle L. Previtera has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Amitabha Sengupta, Bonnie L. Firestein, Christopher G. Langhammer, Noshir A. Langrana, Eric S. Sweet, Rene Schloss, Devendra Verma, José R. Fernández, Valentin Starovoytov and James Q. Zheng. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.