Ryan Sontag

1.3k total citations
30 papers, 889 citations indexed

About

Ryan Sontag is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Ryan Sontag has authored 30 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Spectroscopy and 3 papers in Ecology. Recurrent topics in Ryan Sontag's work include Mass Spectrometry Techniques and Applications (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Single-cell and spatial transcriptomics (4 papers). Ryan Sontag is often cited by papers focused on Mass Spectrometry Techniques and Applications (9 papers), Advanced Proteomics Techniques and Applications (8 papers) and Single-cell and spatial transcriptomics (4 papers). Ryan Sontag collaborates with scholars based in United States, Canada and France. Ryan Sontag's co-authors include Charles Ansong, Richard Smith, Ronald Moore, Richard Corley, Ying Zhu, Gérémy Clair, Son Nguyen, James P. Carson, Julia Laskin and Paul Piehowski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Ryan Sontag

29 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Sontag United States 15 547 451 119 92 55 30 889
Oliver Raether Germany 6 882 1.6× 718 1.6× 93 0.8× 58 0.6× 58 1.1× 8 1.2k
Thomas Fillmore United States 22 854 1.6× 684 1.5× 175 1.5× 109 1.2× 78 1.4× 50 1.5k
Paul J. Trim Australia 18 456 0.8× 394 0.9× 43 0.4× 222 2.4× 35 0.6× 46 879
Saša M. Miladinović Switzerland 8 562 1.0× 459 1.0× 52 0.4× 49 0.5× 33 0.6× 14 892
Lin‐Yang Cheng United States 5 800 1.5× 578 1.3× 57 0.5× 64 0.7× 45 0.8× 7 1.2k
Veronika Vidová Czechia 10 404 0.7× 303 0.7× 31 0.3× 47 0.5× 37 0.7× 19 698
Jusal Quanico France 18 510 0.9× 411 0.9× 46 0.4× 26 0.3× 23 0.4× 32 857
Jonathan H. Young United States 10 393 0.7× 321 0.7× 110 0.9× 11 0.1× 46 0.8× 14 676
Brianne Petritis United States 16 728 1.3× 370 0.8× 117 1.0× 73 0.8× 22 0.4× 26 1.1k
Jan Muntel Germany 21 905 1.7× 499 1.1× 103 0.9× 119 1.3× 34 0.6× 24 1.3k

Countries citing papers authored by Ryan Sontag

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Sontag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Sontag. 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 Ryan Sontag. The network helps show where Ryan Sontag may publish in the future.

Co-authorship network of co-authors of Ryan Sontag

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

All Works

20 of 20 papers shown
1.
Liao, Yen‐Chen, James Fulcher, Sarah Williams, et al.. (2023). Spatially Resolved Top-Down Proteomics of Tissue Sections Based on a Microfluidic Nanodroplet Sample Preparation Platform. Molecular & Cellular Proteomics. 22(2). 100491–100491. 17 indexed citations
2.
Kwon, Yumi, Paul Piehowski, Rui Zhao, et al.. (2022). Hanging drop sample preparation improves sensitivity of spatial proteomics. Lab on a Chip. 22(15). 2869–2877. 17 indexed citations
3.
Woo, Jongmin Jacob, Sarah Williams, Lye Meng Markillie, et al.. (2021). High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip. Nature Communications. 12(1). 119 indexed citations
4.
5.
Dou, Maowei, Gérémy Clair, Chia‐Feng Tsai, et al.. (2019). High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform. Analytical Chemistry. 91(20). 13119–13127. 145 indexed citations
6.
Xu, Kerui, Yiran Liang, Paul Piehowski, et al.. (2018). Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells. Analytical and Bioanalytical Chemistry. 411(19). 4587–4596. 42 indexed citations
7.
Piehowski, Paul, Vladislav Petyuk, Ryan Sontag, et al.. (2018). Residual tissue repositories as a resource for population-based cancer proteomic studies. Clinical Proteomics. 15(1). 26–26. 34 indexed citations
8.
Stevens, Susan L., Tao Liu, Frances Rena Bahjat, et al.. (2018). Preconditioning in the Rhesus Macaque Induces a Proteomic Signature Following Cerebral Ischemia that Is Associated with Neuroprotection. Translational Stroke Research. 10(4). 440–448. 9 indexed citations
9.
Novikova, Irina, Noopur Sharma, Trevor Moser, et al.. (2018). Protein structural biology using cell-free platform from wheat germ. SHILAP Revista de lepidopterología. 4(1). 13–13. 19 indexed citations
10.
Ljungberg, M. Cecilia, Yunguan Wang, Bruce J. Aronow, et al.. (2018). Spatial distribution of marker gene activity in the mouse lung during alveolarization. Data in Brief. 22. 365–372. 5 indexed citations
11.
Han, Alice A., Charles Timchalk, Thomas J. Weber, et al.. (2018). Evaluation of non-invasive biomonitoring of 2,4-Dichlorophenoxyacetic acid (2,4-D) in saliva. Toxicology. 410. 171–181. 9 indexed citations
12.
Dautel, Sydney, Jennifer Kyle, Gérémy Clair, et al.. (2017). Lipidomics reveals dramatic lipid compositional changes in the maturing postnatal lung. Scientific Reports. 7(1). 40555–40555. 60 indexed citations
13.
Clair, Gérémy, Paul Piehowski, Teodora Nicola, et al.. (2016). Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples. Scientific Reports. 6(1). 39223–39223. 60 indexed citations
14.
Sontag, Ryan, Cosmin Mihai, Galya Orr, et al.. (2015). Electroporation of Functional Bacterial Effectors into Mammalian Cells. Journal of Visualized Experiments. 52296–52296. 5 indexed citations
15.
Waters, Katrina M., Ryan Sontag, & Thomas J. Weber. (2013). Hepatic leukemia factor promotes resistance to cell death: Implications for therapeutics and chronotherapy. Toxicology and Applied Pharmacology. 268(2). 141–148. 14 indexed citations
16.
Nakayasu, Ernesto, Roslyn N. Brown, Charles Ansong, et al.. (2013). Multi-omic Data Integration Links Deleted in Breast Cancer 1 (DBC1) Degradation to Chromatin Remodeling in Inflammatory Response. Molecular & Cellular Proteomics. 12(8). 2136–2147. 3 indexed citations
17.
Waters, Katrina M., David L. Stenoien, Marianne B. Sowa, et al.. (2012). Annexin A2 Modulates Radiation-Sensitive Transcriptional Programming and Cell Fate. Radiation Research. 179(1). 53–61. 24 indexed citations
18.
Sontag, Ryan & Thomas J. Weber. (2012). Ectopic ERK expression induces phenotypic conversion of C10 cells and alters DNA methyltransferase expression. BMC Research Notes. 5(1). 217–217. 7 indexed citations
19.
Shankaran, Harish, William Chrisler, Ryan Sontag, & Thomas J. Weber. (2010). Inhibition of ERK oscillations by ionizing radiation and reactive oxygen species. Molecular Carcinogenesis. 50(6). 424–432. 4 indexed citations
20.
Madic, C., et al.. (1980). Application of Extraction Chromatography to the Recovery of Neptunium, Plutonium and Americium from an Industrial Waste. Separation Science and Technology. 15(4). 745–762. 3 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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