David M. Patterson

3.0k total citations · 3 hit papers
19 papers, 1.9k citations indexed

About

David M. Patterson is a scholar working on Molecular Biology, Organic Chemistry and Civil and Structural Engineering. According to data from OpenAlex, David M. Patterson has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Civil and Structural Engineering. Recurrent topics in David M. Patterson's work include Click Chemistry and Applications (5 papers), Chemical Synthesis and Analysis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). David M. Patterson is often cited by papers focused on Click Chemistry and Applications (5 papers), Chemical Synthesis and Analysis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). David M. Patterson collaborates with scholars based in United States, United Kingdom and South Korea. David M. Patterson's co-authors include Jennifer A. Prescher, Lidia Nazarova, David N. Kamber, Bryan J. Xie, Zev J. Gartner, Eric D. Chow, Christopher S. McGinnis, Vasudha Srivastava, Jonathan S. Weissman and Zena Werb and has published in prestigious journals such as Journal of the American Chemical Society, Nature Genetics and ACS Nano.

In The Last Decade

David M. Patterson

19 papers receiving 1.8k citations

Hit Papers

Finding the Right (Bioorthogonal) Chemistry 2014 2026 2018 2022 2014 2019 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Patterson United States 12 1.4k 1.0k 395 196 164 19 1.9k
Rabi Upadhyay United States 18 993 0.7× 779 0.8× 428 1.1× 190 1.0× 247 1.5× 22 1.7k
Daniela Arosio Italy 29 1.2k 0.8× 474 0.5× 427 1.1× 355 1.8× 190 1.2× 72 1.8k
Carlo P. Ramil United States 12 655 0.5× 593 0.6× 174 0.4× 179 0.9× 80 0.5× 15 975
Duy Nguyen United States 19 2.1k 1.5× 576 0.6× 251 0.6× 688 3.5× 125 0.8× 37 2.6k
Nikolaus Krall Switzerland 13 1.1k 0.8× 680 0.7× 455 1.2× 414 2.1× 108 0.7× 19 1.5k
Marion Gurrath Germany 17 1.2k 0.8× 324 0.3× 434 1.1× 252 1.3× 109 0.7× 25 1.9k
Reyna K. V. Lim United States 15 834 0.6× 886 0.9× 326 0.8× 298 1.5× 181 1.1× 23 1.3k
Simon Wisnovsky Canada 16 1.5k 1.1× 289 0.3× 111 0.3× 442 2.3× 210 1.3× 22 1.9k
Matthew J. Hangauer United States 16 2.4k 1.7× 841 0.8× 339 0.9× 410 2.1× 156 1.0× 21 3.2k
Neel H. Shah United States 23 1.6k 1.1× 356 0.3× 360 0.9× 295 1.5× 43 0.3× 45 2.1k

Countries citing papers authored by David M. Patterson

Since Specialization
Citations

This map shows the geographic impact of David M. Patterson'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 David M. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Patterson more than expected).

Fields of papers citing papers by David M. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Patterson. 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 David M. Patterson. The network helps show where David M. Patterson may publish in the future.

Co-authorship network of co-authors of David M. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Patterson. A scholar is included among the top collaborators of David M. Patterson 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 David M. Patterson. David M. Patterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Oliveira, Michelli F., Juan P. Romero, Stephen R. Williams, et al.. (2025). High-definition spatial transcriptomic profiling of immune cell populations in colorectal cancer. Nature Genetics. 57(6). 1512–1523. 27 indexed citations breakdown →
2.
Patterson, David M., Olivia J. Scheideler, Russell Cole, et al.. (2021). Simple, Affordable, and Modular Patterning of Cells using DNA. Journal of Visualized Experiments. 1 indexed citations
3.
Patterson, David M., Olivia J. Scheideler, Russell H. Cole, et al.. (2021). Simple, Affordable, and Modular Patterning of Cells using DNA. Journal of Visualized Experiments. 4 indexed citations
4.
Hu, Kenneth H., Christopher S. McGinnis, David M. Patterson, et al.. (2020). ZipSeq: barcoding for real-time mapping of single cell transcriptomes. Nature Methods. 17(8). 833–843. 100 indexed citations
5.
Huang, Xiao, Jasper Z. Williams, Ryan Chang, et al.. (2020). DNA scaffolds enable efficient and tunable functionalization of biomaterials for immune cell modulation. Nature Nanotechnology. 16(2). 214–223. 81 indexed citations
6.
McGinnis, Christopher S., David M. Patterson, Juliane Winkler, et al.. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nature Methods. 16(7). 619–626. 340 indexed citations breakdown →
7.
Lane, Matthew, et al.. (2019). Establishing and quantifying the causal linkage between drainage and earthworks performance for Highways England. Quarterly Journal of Engineering Geology and Hydrogeology. 53(2). 333–338. 1 indexed citations
8.
Lengerich, Bettina van, Kelsie Eichel, David M. Patterson, et al.. (2018). Phosphorylated EGFR Dimers Are Not Sufficient to Activate Ras. Cell Reports. 22(10). 2593–2600. 59 indexed citations
9.
Zamecnik, Colin R., Margaret M. Lowe, David M. Patterson, Michael D. Rosenblum, & Tejal A. Desai. (2017). Injectable Polymeric Cytokine-Binding Nanowires Are Effective Tissue-Specific Immunomodulators. ACS Nano. 11(11). 11433–11440. 18 indexed citations
10.
Patterson, David M. & Jennifer A. Prescher. (2015). Orthogonal bioorthogonal chemistries. Current Opinion in Chemical Biology. 28. 141–149. 115 indexed citations
11.
Hanley, Nick, Stephen Hynes, David M. Patterson, & Niels Jobstvogt. (2015). Economic Valuation of Marine and Coastal Ecosystems: Is it currently fit for purpose?. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2(1). 39 indexed citations
12.
Patterson, David M., Krysten A. Jones, & Jennifer A. Prescher. (2014). Improved cyclopropene reporters for probing protein glycosylation. Molecular BioSystems. 10(7). 1693–1697. 65 indexed citations
13.
Patterson, David M., Lidia Nazarova, & Jennifer A. Prescher. (2014). Finding the Right (Bioorthogonal) Chemistry. ACS Chemical Biology. 9(3). 592–605. 569 indexed citations breakdown →
14.
Kamber, David N., Lidia Nazarova, Yong Liang, et al.. (2013). Isomeric Cyclopropenes Exhibit Unique Bioorthogonal Reactivities. Journal of the American Chemical Society. 135(37). 13680–13683. 136 indexed citations
15.
Patterson, David M., Lidia Nazarova, Bryan J. Xie, David N. Kamber, & Jennifer A. Prescher. (2012). Functionalized Cyclopropenes As Bioorthogonal Chemical Reporters. Journal of the American Chemical Society. 134(45). 18638–18643. 310 indexed citations
16.
Patterson, David M., et al.. (2011). A risk-based approach for the assessment and management of infrastructure assets. P14–P14. 1 indexed citations
17.
Patterson, David M., et al.. (2007). Geotechnical Asset Management: A Case Study of Practice in the Highways Agency. 335(1). 7–9. 1 indexed citations
18.
Patterson, David M., et al.. (2007). Measuring mine subsidence - BHP Billiton Illawarra Coal's diversified approach. 53. 2 indexed citations
19.
Patterson, David M., et al.. (2002). A2/M2 WIDENING: THE USE OF GEOSYNTHETICS FOR REINFORCED SLOPES. 1. 1 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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