William E. Fondrie

1.0k total citations
25 papers, 597 citations indexed

About

William E. Fondrie is a scholar working on Molecular Biology, Spectroscopy and Clinical Biochemistry. According to data from OpenAlex, William E. Fondrie has authored 25 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Spectroscopy and 4 papers in Clinical Biochemistry. Recurrent topics in William E. Fondrie's work include Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). William E. Fondrie is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). William E. Fondrie collaborates with scholars based in United States, Belgium and Australia. William E. Fondrie's co-authors include David Clark, Li Mao, Austin J. Yang, William Stafford Noble, David R. Goodlett, Robert K. Ernst, Dudley K. Strickland, Lisa M. Leung, Yohei Doi and Wout Bittremieux and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Analytical Chemistry.

In The Last Decade

William E. Fondrie

25 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Fondrie United States 12 369 165 121 73 67 25 597
Silke R. Vedelaar Netherlands 9 675 1.8× 70 0.4× 20 0.2× 15 0.2× 57 0.9× 10 882
Michael B. Cammarata United States 15 488 1.3× 374 2.3× 35 0.3× 12 0.2× 28 0.4× 22 830
Scott Kronewitter United States 14 967 2.6× 335 2.0× 28 0.2× 15 0.2× 55 0.8× 20 1.2k
Amir Banaei‐Esfahani Switzerland 13 410 1.1× 123 0.7× 19 0.2× 13 0.2× 23 0.3× 20 569
Woo Sung Son South Korea 16 356 1.0× 105 0.6× 35 0.3× 4 0.1× 31 0.5× 47 669
Marc Bailly United States 14 974 2.6× 34 0.2× 63 0.5× 25 0.3× 23 0.3× 18 1.1k
Jinghang Xie United States 13 328 0.9× 32 0.2× 20 0.2× 10 0.1× 161 2.4× 19 619
Elizabeth C. Randall United States 16 323 0.9× 425 2.6× 38 0.3× 33 0.5× 69 1.0× 20 624
Camilo Pérez Switzerland 16 627 1.7× 82 0.5× 9 0.1× 30 0.4× 20 0.3× 29 944
Igor P. Smirnov Russia 20 1.1k 2.9× 476 2.9× 22 0.2× 27 0.4× 284 4.2× 58 1.5k

Countries citing papers authored by William E. Fondrie

Since Specialization
Citations

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

Fields of papers citing papers by William E. Fondrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Fondrie. 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 William E. Fondrie. The network helps show where William E. Fondrie may publish in the future.

Co-authorship network of co-authors of William E. Fondrie

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Fondrie. A scholar is included among the top collaborators of William E. Fondrie 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 William E. Fondrie. William E. Fondrie 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.
Pérez‐Riverol, Yasset, Wout Bittremieux, William Stafford Noble, et al.. (2025). Open-Source and FAIR Research Software for Proteomics. Journal of Proteome Research. 24(5). 2222–2234. 6 indexed citations
2.
Bittremieux, Wout, et al.. (2024). Deep Learning Methods for De Novo Peptide Sequencing. Mass Spectrometry Reviews. 7 indexed citations
3.
Fondrie, William E., et al.. (2024). Sequence-to-sequence translation from mass spectra to peptides with a transformer model. Nature Communications. 15(1). 6427–6427. 31 indexed citations
4.
Lin, Andy, et al.. (2024). Target‐decoy false discovery rate estimation using Crema. PROTEOMICS. 24(8). e2300084–e2300084. 4 indexed citations
5.
Sanders, Justin J., et al.. (2024). Accounting for Digestion Enzyme Bias in Casanovo. Journal of Proteome Research. 23(10). 4761–4769. 1 indexed citations
6.
Kertész‐Farkas, Attila, Jimmy K. Eng, William E. Fondrie, et al.. (2023). The Crux Toolkit for Analysis of Bottom-Up Tandem Mass Spectrometry Proteomics Data. Journal of Proteome Research. 22(2). 561–569. 9 indexed citations
7.
Fondrie, William E., et al.. (2023). Semisupervised Machine Learning for Sensitive Open Modification Spectral Library Searching. Journal of Proteome Research. 22(2). 585–593. 9 indexed citations
8.
Paez, Sebastian Juan, et al.. (2023). nf-encyclopedia: A Cloud-Ready Pipeline for Chromatogram Library Data-Independent Acquisition Proteomics Workflows. Journal of Proteome Research. 22(8). 2743–2749. 3 indexed citations
9.
Fondrie, William E., et al.. (2023). Evaluating Proteomics Imputation Methods with Improved Criteria. Journal of Proteome Research. 22(11). 3427–3438. 19 indexed citations
10.
Heil, Lilian R., William E. Fondrie, Alexander Federation, et al.. (2022). Building Spectral Libraries from Narrow-Window Data-Independent Acquisition Mass Spectrometry Data. Journal of Proteome Research. 21(6). 1382–1391. 11 indexed citations
11.
Fondrie, William E. & William Stafford Noble. (2021). mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection. Journal of Proteome Research. 20(4). 1966–1971. 34 indexed citations
12.
Mudge, Miranda C., Brook L. Nunn, Marcela Ewert, et al.. (2021). Subzero, saline incubations of Colwellia psychrerythraea reveal strategies and biomarkers for sustained life in extreme icy environments. Environmental Microbiology. 23(7). 3840–3866. 14 indexed citations
13.
Fondrie, William E. & William Stafford Noble. (2020). Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale Experiments. Journal of Proteome Research. 19(3). 1267–1274. 10 indexed citations
14.
Fondrie, William E., Tao Liang, Benjamin L. Oyler, et al.. (2018). Pathogen Identification Direct From Polymicrobial Specimens Using Membrane Glycolipids. Scientific Reports. 8(1). 15857–15857. 18 indexed citations
15.
Ying, Zhekang, Erick O. Hernández‐Ochoa, William E. Fondrie, et al.. (2018). LRP1 (Low-Density Lipoprotein Receptor–Related Protein 1) Regulates Smooth Muscle Contractility by Modulating Ca 2+ Signaling and Expression of Cytoskeleton-Related Proteins. Arteriosclerosis Thrombosis and Vascular Biology. 38(11). 2651–2664. 40 indexed citations
16.
Leung, Lisa M., William E. Fondrie, Yohei Doi, et al.. (2017). Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids. Scientific Reports. 7(1). 6403–6403. 66 indexed citations
17.
Khan, Mohd M., Bao Tran, Soo‐Hyun Park, et al.. (2017). Assessment of the Therapeutic Potential of Persimmon Leaf Extract on Prediabetic Subjects. Molecules and Cells. 40(7). 466–475. 10 indexed citations
18.
Liang, Tao, Thomas W. Schneider, Sung Hwan Yoon, et al.. (2017). Optimized surface acoustic wave nebulization facilitates bacterial phenotyping. International Journal of Mass Spectrometry. 427. 65–72. 11 indexed citations
19.
Clark, David, William E. Fondrie, Austin J. Yang, & Li Mao. (2015). Triple SILAC quantitative proteomic analysis reveals differential abundance of cell signaling proteins between normal and lung cancer-derived exosomes. Journal of Proteomics. 133. 161–169. 122 indexed citations
20.
Clark, David, William E. Fondrie, Phyllis I. Hanson, et al.. (2015). Redefining the Breast Cancer Exosome Proteome by Tandem Mass Tag Quantitative Proteomics and Multivariate Cluster Analysis. Analytical Chemistry. 87(20). 10462–10469. 63 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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