Vanessa M. Peterson

2.9k total citations · 2 hit papers
9 papers, 2.2k citations indexed

About

Vanessa M. Peterson is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vanessa M. Peterson has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vanessa M. Peterson's work include Advanced Biosensing Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (3 papers) and Biosensors and Analytical Detection (2 papers). Vanessa M. Peterson is often cited by papers focused on Advanced Biosensing Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (3 papers) and Biosensors and Analytical Detection (2 papers). Vanessa M. Peterson collaborates with scholars based in United States. Vanessa M. Peterson's co-authors include Ralph Weissleder, Hakho Lee, Cesar M. Castro, Yong Il Park, Huilin Shao, Hyungsoon Im, Renée Moore, Douglas C. Wilson, Terrill K. McClanahan and Namit Kumar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Nano.

In The Last Decade

Vanessa M. Peterson

9 papers receiving 2.1k citations

Hit Papers

Label-free detection and ... 2014 2026 2018 2022 2014 2017 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vanessa M. Peterson United States 9 1.7k 753 505 235 211 9 2.2k
Hung‐Jen Wu United States 22 1.1k 0.7× 712 0.9× 327 0.6× 160 0.7× 174 0.8× 52 2.1k
Jina Ko United States 20 1.3k 0.8× 610 0.8× 583 1.2× 88 0.4× 47 0.2× 42 1.9k
Sufang Qiu China 24 794 0.5× 481 0.6× 284 0.6× 137 0.6× 345 1.6× 107 1.9k
Kyungheon Lee United States 13 1.9k 1.1× 686 0.9× 724 1.4× 131 0.6× 72 0.3× 15 2.4k
Frezghi Habte United States 20 741 0.4× 1.1k 1.5× 207 0.4× 175 0.7× 269 1.3× 58 2.4k
Emilia S. Olson United States 14 1.3k 0.8× 853 1.1× 305 0.6× 150 0.6× 44 0.2× 20 2.4k
Bjoern Sander Germany 31 3.3k 1.9× 520 0.7× 140 0.3× 179 0.8× 65 0.3× 73 4.3k
Katherine S. Yang United States 24 1.5k 0.9× 783 1.0× 450 0.9× 616 2.6× 51 0.2× 48 2.9k
Fei Tian China 24 1.8k 1.1× 1.6k 2.1× 560 1.1× 85 0.4× 118 0.6× 36 2.8k

Countries citing papers authored by Vanessa M. Peterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

9 of 9 papers shown
1.
Tamburino, Alex M., et al.. (2022). scRNA-seq generates a molecular map of emerging cell subtypes after sciatic nerve injury in rats. Communications Biology. 5(1). 1105–1105. 13 indexed citations
2.
Peterson, Vanessa M., Namit Kumar, Jerelyn Wong, et al.. (2017). Multiplexed quantification of proteins and transcripts in single cells. Nature Biotechnology. 35(10). 936–939. 600 indexed citations breakdown →
3.
Ullal, Adeeti V., Vanessa M. Peterson, Sarit S. Agasti, et al.. (2014). Cancer Cell Profiling by Barcoding Allows Multiplexed Protein Analysis in Fine-Needle Aspirates. Science Translational Medicine. 6(219). 219ra9–219ra9. 128 indexed citations
4.
Im, Hyungsoon, Huilin Shao, Yong Il Park, et al.. (2014). Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor. Nature Biotechnology. 32(5). 490–495. 1088 indexed citations breakdown →
5.
Peterson, Vanessa M., Cesar M. Castro, Jaehoon Chung, et al.. (2013). Ascites analysis by a microfluidic chip allows tumor-cell profiling. Proceedings of the National Academy of Sciences. 110(51). E4978–86. 40 indexed citations
6.
Agasti, Sarit S., Rainer H. Köhler, Monty Liong, et al.. (2012). Dual Imaging and Photoactivated Nanoprobe for Controlled Cell Tracking. Small. 9(2). 222–227. 12 indexed citations
7.
Agasti, Sarit S., Monty Liong, Vanessa M. Peterson, Hakho Lee, & Ralph Weissleder. (2012). Photocleavable DNA Barcode–Antibody Conjugates Allow Sensitive and Multiplexed Protein Analysis in Single Cells. Journal of the American Chemical Society. 134(45). 18499–18502. 86 indexed citations
8.
Peterson, Vanessa M., Cesar M. Castro, Hakho Lee, & Ralph Weissleder. (2012). Orthogonal Amplification of Nanoparticles for Improved Diagnostic Sensing. ACS Nano. 6(4). 3506–3513. 40 indexed citations
9.
Haun, Jered B., Cesar M. Castro, Rui Wang, et al.. (2011). Micro-NMR for Rapid Molecular Analysis of Human Tumor Samples. Science Translational Medicine. 3(71). 71ra16–71ra16. 170 indexed citations

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.

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