Paul Piehowski

9.0k total citations · 1 hit paper
79 papers, 3.2k citations indexed

About

Paul Piehowski is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Paul Piehowski has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Spectroscopy, 43 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Paul Piehowski's work include Advanced Proteomics Techniques and Applications (40 papers), Mass Spectrometry Techniques and Applications (31 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Paul Piehowski is often cited by papers focused on Advanced Proteomics Techniques and Applications (40 papers), Mass Spectrometry Techniques and Applications (31 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Paul Piehowski collaborates with scholars based in United States, Sweden and Australia. Paul Piehowski's co-authors include Richard Smith, Ronald Moore, Weijun Qian, Vladislav Petyuk, Ying Zhu, Ryan Kelly, Anil Shukla, Yufeng Shen, Danny Orton and Rui Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Paul Piehowski

78 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells

2018 417 citations Ying Zhu, Paul Piehowski et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Piehowski United States	29	1.7k	1.5k	405	292	260	79	3.2k
Wayne F. Patton United States	39	3.5k 2.0×	2.1k 1.4×	427 1.1×	94 0.3×	368 1.4×	114	5.2k
Kentaro Yoshimura Japan	23	761 0.4×	551 0.4×	184 0.5×	46 0.2×	246 0.9×	95	2.0k
Marc Moniatte Switzerland	31	1.2k 0.7×	357 0.2×	133 0.3×	86 0.3×	478 1.8×	54	2.7k
Yaoyang Zhang China	28	2.3k 1.3×	941 0.6×	272 0.7×	115 0.4×	258 1.0×	89	3.8k
Ute Distler Germany	25	2.0k 1.1×	875 0.6×	191 0.5×	59 0.2×	145 0.6×	66	3.1k
Jens R. Coorssen Canada	38	2.5k 1.4×	711 0.5×	99 0.2×	220 0.8×	366 1.4×	105	3.5k
Leigh Anderson United States	20	3.3k 1.9×	2.3k 1.5×	302 0.7×	62 0.2×	293 1.1×	29	5.1k
Christine C. Wu United States	38	4.0k 2.3×	2.8k 1.8×	233 0.6×	42 0.1×	294 1.1×	72	5.7k
Michael O. Glocker Germany	30	1.6k 0.9×	1.1k 0.7×	108 0.3×	27 0.1×	135 0.5×	133	3.0k
Jeffrey A. Kowalak United States	26	2.7k 1.6×	1.2k 0.8×	77 0.2×	102 0.3×	95 0.4×	42	3.7k

Countries citing papers authored by Paul Piehowski

Since Specialization

Citations

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

Fields of papers citing papers by Paul Piehowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Piehowski

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

All Works

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20 of 20 papers shown

Lin, Athena W., Paul Piehowski, Chia‐Feng Tsai, et al.. (2022). Determining protein polarization proteome-wide using physical dissection of individual Stentor coeruleus cells. Current Biology. 32(10). 2300–2308.e4. 3 indexed citations

Sanford, James, Yang Wang, Joshua Hansen, et al.. (2021). Evaluation of Differential Peptide Loading on Tandem Mass Tag-Based Proteomic and Phosphoproteomic Data Quality. Journal of the American Society for Mass Spectrometry. 33(1). 17–30. 1 indexed citations

Ye, Yinyin, Adam Swensen, Yang Wang, et al.. (2021). A Pilot Study of Urine Proteomics in COVID-19–Associated Acute Kidney Injury. Kidney International Reports. 6(12). 3064–3069. 4 indexed citations

Nakayasu, Ernesto, Marina Gritsenko, Paul Piehowski, et al.. (2021). Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation. Nature Protocols. 16(8). 3737–3760. 153 indexed citations

Piehowski, Paul, Ying Zhu, Lisa Bramer, et al.. (2020). Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution. Nature Communications. 11(1). 8–8. 202 indexed citations

Garnica, Óscar, Ernesto Nakayasu, Paul Piehowski, et al.. (2020). Longitudinal proteomics analysis in the immediate microenvironment of islet allografts during progression of rejection. Journal of Proteomics. 223. 103826–103826. 7 indexed citations

Arshad, Osama A., Vladislav Petyuk, Paul Piehowski, et al.. (2019). An Integrative Analysis of Tumor Proteomic and Phosphoproteomic Profiles to Examine the Relationships Between Kinase Activity and Phosphorylation. Molecular & Cellular Proteomics. 18(8). S26–S36. 26 indexed citations

Couvillion, Sneha, Ying Zhu, Gabe Nagy, et al.. (2018). New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells. The Analyst. 144(3). 794–807. 67 indexed citations

Olah, Marta, Ellis Patrick, Alexandra–Chloé Villani, et al.. (2018). A transcriptomic atlas of aged human microglia. Nature Communications. 9(1). 539–539. 322 indexed citations

10.

Zhu, Ying, Paul Piehowski, Rui Zhao, et al.. (2018). Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells. Nature Communications. 9(1). 882–882. 417 indexed citations breakdown →

11.

Stanfill, Bryan, Ernesto Nakayasu, Lisa Bramer, et al.. (2018). Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data. Molecular & Cellular Proteomics. 17(9). 1824–1836. 23 indexed citations

12.

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

13.

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

14.

Wendler, Jason, Erin Baker, Kristin Burnum-Johnson, et al.. (2018). Application of multiplexed ion mobility spectrometry towards the identification of host protein signatures of treatment effect in pulmonary tuberculosis. Tuberculosis. 112. 52–61. 15 indexed citations

15.

Piehowski, Paul, Mowei Zhou, Grant M. Fujimoto, et al.. (2017). Informed-Proteomics: open-source software package for top-down proteomics. Nature Methods. 14(9). 909–914. 118 indexed citations

16.

Zhu, Ying, Rui Zhao, Paul Piehowski, et al.. (2017). Subnanogram proteomics: Impact of LC column selection, MS instrumentation and data analysis strategy on proteome coverage for trace samples. International Journal of Mass Spectrometry. 427. 4–10. 58 indexed citations

17.

Hasin-Brumshtein, Yehudit, Arshad H. Khan, Farhad Hormozdiari, et al.. (2016). Hypothalamic transcriptomes of 99 mouse strains reveal trans eQTL hotspots, splicing QTLs and novel non-coding genes. eLife. 5. 23 indexed citations

18.

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

19.

Aylward, Frank O., Lily Khadempour, Daniel M. Tremmel, et al.. (2015). Enrichment and Broad Representation of Plant Biomass-Degrading Enzymes in the Specialized Hyphal Swellings of Leucoagaricus gongylophorus, the Fungal Symbiont of Leaf-Cutter Ants. PLoS ONE. 10(8). e0134752–e0134752. 24 indexed citations

20.

Crowell, Kevin L., Erin Baker, Samuel Payne, et al.. (2013). Increasing confidence of LC–MS identifications by utilizing ion mobility spectrometry. International Journal of Mass Spectrometry. 354-355. 312–317. 27 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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