Daniel G. Delafield

756 total citations · 1 hit paper
18 papers, 537 citations indexed

About

Daniel G. Delafield is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Daniel G. Delafield has authored 18 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Spectroscopy and 2 papers in Genetics. Recurrent topics in Daniel G. Delafield's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Daniel G. Delafield is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Daniel G. Delafield collaborates with scholars based in United States, China and France. Daniel G. Delafield's co-authors include Lingjun Li, Hua Zhang, Renxiang Tan, Haiping Hao, Hui Ye, Siqin Yu, Ying Kong, Hanqing Zhang, Dexiang Wang and Huanhuan Li and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Daniel G. Delafield

18 papers receiving 529 citations

Hit Papers

Cyclic immonium ion of lactyllysine reveals widespread la... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Delafield United States 10 319 187 90 57 40 18 537
Marta Gawin Poland 17 315 1.0× 161 0.9× 116 1.3× 38 0.7× 58 1.4× 24 660
Junying Zheng United States 17 262 0.8× 31 0.2× 74 0.8× 30 0.5× 34 0.8× 28 625
Pavel Bouchal Czechia 19 484 1.5× 218 1.2× 145 1.6× 57 1.0× 160 4.0× 61 888
Junjun Ma China 12 287 0.9× 14 0.1× 84 0.9× 46 0.8× 23 0.6× 28 471
Helena Podgornik Slovenia 14 169 0.5× 48 0.3× 16 0.2× 13 0.2× 89 2.2× 51 528
Jean B. Bertoldo Brazil 15 558 1.7× 28 0.1× 105 1.2× 17 0.3× 33 0.8× 22 841
Maxey Ching Ming Chung Singapore 13 248 0.8× 94 0.5× 35 0.4× 7 0.1× 60 1.5× 14 511
Huizhi Fan China 10 287 0.9× 124 0.7× 33 0.4× 5 0.1× 88 2.2× 27 506
Jacob W. McCabe United States 15 308 1.0× 320 1.7× 48 0.5× 3 0.1× 50 1.3× 20 573

Countries citing papers authored by Daniel G. Delafield

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Delafield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Delafield. 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 Daniel G. Delafield. The network helps show where Daniel G. Delafield may publish in the future.

Co-authorship network of co-authors of Daniel G. Delafield

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

All Works

18 of 18 papers shown
1.
Gu, Ting‐Jia, Daniel G. Delafield, Michael J. Rigby, et al.. (2024). sn-Position-Resolved Quantification of Aminophospholipids by Isotopic N,N-Dimethyl Leucine Labeling and High-Resolution Ion Mobility Mass Spectrometry. Analytical Chemistry. 96(50). 20098–20106. 1 indexed citations
3.
Xu, Shuling, Daniel G. Delafield, Michael J. Rigby, et al.. (2023). CHRISTMAS: Chiral Pair Isobaric Labeling Strategy for Multiplexed Absolute Quantitation of Enantiomeric Amino Acids. Analytical Chemistry. 95(50). 18504–18513. 5 indexed citations
4.
Li, Gongyu, M Ma, Yifei Jia, et al.. (2023). Site-specific chirality-conferred structural compaction differentially mediates the cytotoxicity of Aβ42. Chemical Science. 14(22). 5936–5944. 10 indexed citations
5.
Zhang, Hua, Daniel G. Delafield, & Lingjun Li. (2023). Mass spectrometry imaging: the rise of spatially resolved single-cell omics. Nature Methods. 20(3). 327–330. 52 indexed citations
6.
Ma, M, Qinying Yu, Daniel G. Delafield, et al.. (2023). On-Tissue Spatial Proteomics Integrating MALDI-MS Imaging with Shotgun Proteomics Reveals Soy Consumption-Induced Protein Changes in a Fragile X Syndrome Mouse Model. ACS Chemical Neuroscience. 15(1). 119–133. 5 indexed citations
8.
Delafield, Daniel G., et al.. (2022). High-end ion mobility mass spectrometry: A current review of analytical capacity in omics applications and structural investigations. TrAC Trends in Analytical Chemistry. 157. 116761–116761. 55 indexed citations
9.
Delafield, Daniel G., et al.. (2022). Complementary proteome and glycoproteome access revealed through comparative analysis of reversed phase and porous graphitic carbon chromatography. Analytical and Bioanalytical Chemistry. 414(18). 5461–5472. 3 indexed citations
10.
Shi, Yatao, Zihui Li, Bin Wang, et al.. (2022). Enabling Global Analysis of Protein Citrullination via Biotin Thiol Tag-Assisted Mass Spectrometry. Analytical Chemistry. 94(51). 17895–17903. 8 indexed citations
11.
Wan, Ning, Nian Wang, Siqin Yu, et al.. (2022). Cyclic immonium ion of lactyllysine reveals widespread lactylation in the human proteome. Nature Methods. 19(7). 854–864. 174 indexed citations breakdown →
12.
Delafield, Daniel G., et al.. (2022). Higher Temperature Porous Graphitic Carbon Separations Differentially Impact Distinct Glycopeptide Classes. Journal of the American Society for Mass Spectrometry. 34(1). 64–74. 7 indexed citations
13.
Li, Zihui, Daniel M. Tremmel, Fengfei Ma, et al.. (2021). Proteome-wide and matrisome-specific alterations during human pancreas development and maturation. Nature Communications. 12(1). 1020–1020. 32 indexed citations
14.
Delafield, Daniel G., et al.. (2021). Recent developments and applications of quantitative proteomics strategies for high-throughput biomolecular analyses in cancer research. RSC Chemical Biology. 2(4). 1050–1072. 9 indexed citations
15.
Delafield, Daniel G. & Lingjun Li. (2020). Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation. Molecular & Cellular Proteomics. 20. 100054–100054. 68 indexed citations
16.
Yang, Yi, et al.. (2019). Peroxymonosulfate Oxidizes Amino Acids in Water without Activation. Environmental Science & Technology. 53(18). 10845–10854. 66 indexed citations
17.
Li, Gongyu, Daniel G. Delafield, & Lingjun Li. (2019). Improved structural elucidation of peptide isomers and their receptors using advanced ion mobility-mass spectrometry. TrAC Trends in Analytical Chemistry. 124. 115546–115546. 24 indexed citations
18.
Delafield, Daniel G., et al.. (2017). Finding Biomass Degrading Enzymes Through an Activity-Correlated Quantitative Proteomics Platform (ACPP). Journal of the American Society for Mass Spectrometry. 28(4). 655–663. 4 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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