Lauren Fields

476 total citations
21 papers, 337 citations indexed

About

Lauren Fields is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lauren Fields has authored 21 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Spectroscopy and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lauren Fields's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Alzheimer's disease research and treatments (3 papers). Lauren Fields is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Alzheimer's disease research and treatments (3 papers). Lauren Fields collaborates with scholars based in United States, Sweden and United Kingdom. Lauren Fields's co-authors include Jack S. Benner, Lingjun Li, Marija Drndić, Robert R. Johnson, Yu Zheng, Meni Wanunu, Neil Peterman, Devora Cohen-Karni, Michael L. Klein and Hua Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Analytical Chemistry.

In The Last Decade

Lauren Fields

21 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren Fields United States 9 244 74 66 20 18 21 337
Alan Kádek Czechia 12 275 1.1× 138 1.9× 48 0.7× 50 2.5× 26 1.4× 26 435
Alexander A. Boulgakov United States 6 208 0.9× 81 1.1× 91 1.4× 18 0.9× 3 0.2× 7 304
Hideyuki Yaginuma Japan 4 348 1.4× 31 0.4× 55 0.8× 8 0.4× 29 1.6× 8 482
Erik T. Hernandez United States 7 231 0.9× 56 0.8× 68 1.0× 13 0.7× 2 0.1× 8 314
Yury L. Ryzhykau Russia 10 170 0.7× 22 0.3× 25 0.4× 7 0.3× 17 0.9× 29 281
Muyun Lihan United States 6 227 0.9× 16 0.2× 30 0.5× 6 0.3× 16 0.9× 9 292
Maryanne J. O’Donnell United States 5 275 1.1× 213 2.9× 130 2.0× 42 2.1× 4 0.2× 6 440
Chimari Jiko Japan 8 399 1.6× 84 1.1× 8 0.1× 11 0.6× 27 1.5× 11 474
Michael C. Needels United States 6 357 1.5× 24 0.3× 43 0.7× 10 0.5× 7 0.4× 9 414

Countries citing papers authored by Lauren Fields

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Fields

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Fields. A scholar is included among the top collaborators of Lauren Fields 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 Lauren Fields. Lauren Fields 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.
Fields, Lauren, et al.. (2025). Decoding Neuropeptide Complexity: Advancing Neurobiological Insights from Invertebrates to Vertebrates through Evolutionary Perspectives. ACS Chemical Neuroscience. 16(9). 1662–1679. 1 indexed citations
2.
Wang, Bin, Zihui Li, Yatao Shi, et al.. (2024). Mass Spectrometry-Based Precise Identification of Citrullinated Histones via Limited Digestion and Biotin Derivative Tag Enrichment. Analytical Chemistry. 96(6). 2309–2317. 2 indexed citations
3.
Fields, Lauren, et al.. (2024). EndoGenius: Optimized Neuropeptide Identification from Mass Spectrometry Datasets. Journal of Proteome Research. 23(8). 3041–3051. 3 indexed citations
4.
Lu, Haiyan, et al.. (2024). Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking. Mass Spectrometry Reviews. 9 indexed citations
5.
Fields, Lauren, et al.. (2024). A crustacean neuropeptide spectral library for data‐independent acquisition (DIA) mass spectrometry applications. PROTEOMICS. 24(15). e2300285–e2300285. 5 indexed citations
6.
Wu, Wenxin, Lauren Fields, Kellen DeLaney, Amanda R. Buchberger, & Lingjun Li. (2024). An Updated Guide to the Identification, Quantitation, and Imaging of the Crustacean Neuropeptidome. Methods in molecular biology. 2758. 255–289. 1 indexed citations
7.
Fields, Lauren, et al.. (2024). MotifQuest: An Automated Pipeline for Motif Database Creation to Improve Peptidomics Database Searching Programs. Journal of the American Society for Mass Spectrometry. 35(8). 1902–1912. 2 indexed citations
8.
Ma, M, et al.. (2023). Proteome-wide Profiling of Asymmetric Dimethylated Arginine in Human Breast Tumors. Journal of the American Society for Mass Spectrometry. 34(8). 1692–1700. 8 indexed citations
9.
Fields, Lauren, et al.. (2023). HyPep: An Open-Source Software for Identification and Discovery of Neuropeptides Using Sequence Homology Search. Journal of Proteome Research. 22(2). 420–431. 6 indexed citations
10.
Wang, Bin, Xiaofang Zhong, Lauren Fields, et al.. (2023). Structural Proteomic Profiling of Cerebrospinal Fluids to Reveal Novel Conformational Biomarkers for Alzheimer’s Disease. Journal of the American Society for Mass Spectrometry. 34(3). 459–471. 8 indexed citations
11.
Lu, Haiyan, Yuan Liu, Danqing Wang, et al.. (2023). DiLeu Isobaric Labeling Coupled with Limited Proteolysis Mass Spectrometry for High-Throughput Profiling of Protein Structural Changes in Alzheimer’s Disease. Analytical Chemistry. 95(26). 9746–9753. 11 indexed citations
12.
Fields, Lauren, et al.. (2023). Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides. Journal of Proteome Research. 22(5). 1510–1519. 9 indexed citations
13.
Zhang, Hua, Yuan Liu, Lauren Fields, et al.. (2023). Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging. Nature Communications. 14(1). 5185–5185. 59 indexed citations
14.
Wang, Bin, Lauren Fields, & Lingjun Li. (2022). Recent advances in characterization of citrullination and its implication in human disease research: From method development to network integration. PROTEOMICS. 23(21-22). e2200286–e2200286. 3 indexed citations
15.
Fields, Lauren, et al.. (2020). Short chain α-pyrones capable of potentiating penicillin G against Pseudomonas aeruginosa. Bioorganic & Medicinal Chemistry Letters. 30(16). 127301–127301. 1 indexed citations
16.
17.
Fields, Lauren & Arthur L. DeVries. (2015). Variation in blood serum antifreeze activity of Antarctic Trematomus fishes across habitat temperature and depth. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 185. 43–50. 6 indexed citations
18.
Wanunu, Meni, Devora Cohen-Karni, Robert R. Johnson, et al.. (2010). Discrimination of Methylcytosine from Hydroxymethylcytosine in DNA Molecules. Journal of the American Chemical Society. 133(3). 486–492. 145 indexed citations
19.
Collins, Kathleen, et al.. (2010). Constitutive Secretion in Tetrahymena thermophila. Eukaryotic Cell. 9(5). 674–681. 22 indexed citations
20.
Sharma, Shamik S., et al.. (2009). The effect of carbon source on the secretome of Kluyveromyces lactis. PROTEOMICS. 9(20). 4744–4754. 24 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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