Vanessa M. Peterson
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Cancer Research top 5%
- Immunology top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Co-authors
- Ralph WeisslederHakho LeeCesar M. CastroYong Il ParkHuilin ShaoHyungsoon ImSvetlana SadekovaTerrill K. McClanahan
- Topics
- Advanced Biosensing Techniques and Applications (3 papers)Single-cell and spatial transcriptomics (3 papers)Biosensors and Analytical Detection (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyACS Nano
- Partner nations
- United States
In The Last Decade
Vanessa M. Peterson
9 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.7k
- Biomedical Engineering 753
- Cancer Research 505
- Immunology 235
- Electronic, Optical and Magnetic Materials 211
Countries citing papers authored by Vanessa M. Peterson
This map shows the geographic impact of Vanessa M. Peterson'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 Vanessa M. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa M. Peterson more than expected).
Fields of papers citing papers by Vanessa M. Peterson
This network shows the impact of papers produced by Vanessa M. Peterson. 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 Vanessa M. Peterson. The network helps show where Vanessa M. Peterson may publish in the future.
Co-authorship network of co-authors of Vanessa M. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa M. Peterson. A scholar is included among the top collaborators of Vanessa M. Peterson 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 Vanessa M. Peterson. Vanessa M. Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Multiplexed quantification of proteins and transcripts in single cellsbreakdown → | 600 |
| 3 | 128 | |
| 4 | Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensorbreakdown → | 1088 |
| 5 | 40 | |
| 6 | 12 | |
| 7 | 86 | |
| 8 | 40 | |
| 9 | 170 |
About Vanessa M. Peterson
Vanessa M. Peterson is a scholar working on Neurology, Reproductive Medicine and Biotechnology, having authored 9 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (505 citations), Molecular Biology (1.7k citations) and Biophysics (133 citations). Vanessa M. Peterson has collaborated with scholars based in United States. Frequent co-authors include Ralph Weissleder, Hakho Lee, Cesar M. Castro, Yong Il Park, Huilin Shao, Hyungsoon Im, Svetlana Sadekova, Terrill K. McClanahan, Namit Kumar and Jerelyn Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.
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.