Evan Molinelli
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
-
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Lipid Membrane Structure and Behavior
Papers in
-
- Protein Degradation and Inhibitors 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
- Ion channel regulation and function 1
- Melanoma and MAPK Pathways 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Chris Sander (5 shared papers)Kanagalaghatta R. Rajashankar (1 shared paper)Gary Peng (1 shared paper)M.V.A.S. Navarro (1 shared paper)Qi Wang (1 shared paper)Holger Sondermann (1 shared paper)Anil Korkut (4 shared papers)Shih Lin Goh (1 shared paper)
- Journals
- eLife (1 paper)Journal of Theoretical Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Evan Molinelli
7 papers receiving 528 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 145
- Molecular Biology 347
- Computational Theory and Mathematics 81
- Immunology and Allergy 27
- Modeling and Simulation 18
Countries citing papers authored by Evan Molinelli
This map shows the geographic impact of Evan Molinelli'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 Evan Molinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Molinelli more than expected).
Fields of papers citing papers by Evan Molinelli
This network shows the impact of papers produced by Evan Molinelli. 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 Evan Molinelli. The network helps show where Evan Molinelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Molinelli, 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 | 2009 | 168 | |
| 2 | 2013 | 120 | |
| 3 | 2013 | 72 | |
| 4 | 2015 | 70 | |
| 5 | 2016 | 70 | |
| 6 | 2014 | 16 | |
| 7 | 2008 | 14 |
About Evan Molinelli
Evan Molinelli is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Cell Biology and Cancer Research, having authored 7 papers that have together received 530 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers), Gene expression and cancer classification (1 paper), Ion channel regulation and function (1 paper), Melanoma and MAPK Pathways (1 paper), Microtubule and mitosis dynamics (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Cell Biology (145 citations), Molecular Biology (347 citations), Computational Theory and Mathematics (81 citations), Immunology and Allergy (27 citations) and Modeling and Simulation (18 citations). Evan Molinelli has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Chris Sander, Kanagalaghatta R. Rajashankar, Gary Peng, M.V.A.S. Navarro, Qi Wang, Holger Sondermann, Anil Korkut, Shih Lin Goh, Bret L. Judson and Martin L. Miller. Their work appears in journals such as eLife, Journal of Theoretical Biology, Proceedings of the National Academy of Sciences, PLoS ONE and PLoS Computational Biology.
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.