Heather Desaire

3.3k total citations
87 papers, 2.6k citations indexed

About

Heather Desaire is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Heather Desaire has authored 87 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 52 papers in Spectroscopy and 17 papers in Organic Chemistry. Recurrent topics in Heather Desaire's work include Glycosylation and Glycoproteins Research (41 papers), Mass Spectrometry Techniques and Applications (36 papers) and Advanced Proteomics Techniques and Applications (32 papers). Heather Desaire is often cited by papers focused on Glycosylation and Glycoproteins Research (41 papers), Mass Spectrometry Techniques and Applications (36 papers) and Advanced Proteomics Techniques and Applications (32 papers). Heather Desaire collaborates with scholars based in United States, France and Italy. Heather Desaire's co-authors include Eden P. Go, Julie A. Leary, Dilusha S. Dalpathado, David Hua, Zhikai Zhu, Ying Zhang, Janet Irungu, Hui Jiang, Alexander D. MacKerell and Wonpil Im and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Heather Desaire

86 papers receiving 2.5k citations

Peers

Heather Desaire

SPECT

RNMI

Thilo Werner Germany

Holger Wenschuh Germany

Urooj A. Mirza United States

Andreas Larsson Sweden

Holger Franken Germany

Stephen Tanner United States

Jean‐Michel Wieruszeski France

Gregory C. Adam United States

Gavain M.A. Sweetman United Kingdom

Peter R. Baker United States

Thilo Werner Germany

Heather Desaire

2.8k ×1.4

1.3k ×1.2

SPECT

347 ×0.8

141 ×0.5

RNMI

311 ×1.2

Citations per year, relative to Heather Desaire Heather Desaire (= 1×) peers Thilo Werner

Countries citing papers authored by Heather Desaire

Since Specialization

Citations

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

Fields of papers citing papers by Heather Desaire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Desaire

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Desaire. A scholar is included among the top collaborators of Heather Desaire 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 Heather Desaire. Heather Desaire 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

Go, Eden P., et al.. (2025). Exploring Sample Storage Conditions for the Mass Spectrometric Analysis of Extracted Lipids from Latent Fingerprints. Biomolecules. 15(4). 477–477. 1 indexed citations

Chern, H D, Giuseppe Caruso, Heather Desaire, & Romana Jarošová. (2025). Carnosine Mitigates Cognitive Impairment and Dopamine Release in an Okadaic Acid-Induced Zebrafish Model with Alzheimer’s Disease-like Symptoms. ACS Chemical Neuroscience. 16(5). 790–801. 2 indexed citations

Kim, Min & Heather Desaire. (2024). Detecting the Use of ChatGPT in University Newspapers by Analyzing Stylistic Differences with Machine Learning. Information. 15(6). 307–307. 4 indexed citations

Desaire, Heather, et al.. (2024). Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet). Big Data and Cognitive Computing. 8(10). 133–133. 1 indexed citations

Desaire, Heather, et al.. (2023). Distinguishing academic science writing from humans or ChatGPT with over 99% accuracy using off-the-shelf machine learning tools. Cell Reports Physical Science. 4(6). 101426–101426. 66 indexed citations

Desaire, Heather, et al.. (2023). Accurately detecting AI text when ChatGPT is told to write like a chemist. Cell Reports Physical Science. 4(11). 101672–101672. 29 indexed citations

Desaire, Heather, Eden P. Go, & David Hua. (2022). Advances, obstacles, and opportunities for machine learning in proteomics. Cell Reports Physical Science. 3(10). 101069–101069. 16 indexed citations

Go, Eden P., Shijian Zhang, Haitao Ding, et al.. (2021). The opportunity cost of automated glycopeptide analysis: case study profiling the SARS-CoV-2 S glycoprotein. Analytical and Bioanalytical Chemistry. 413(29). 7215–7227. 7 indexed citations

Desaire, Heather, et al.. (2021). Dataset of why inclusion matters for Alzheimer's disease biomarker discovery in plasma. SHILAP Revista de lepidopterología. 35. 106923–106923. 1 indexed citations

10.

Go, Eden P., et al.. (2017). Rapid LC-MS Based High-Throughput Screening Method, Affording No False Positives or False Negatives, Identifies a New Inhibitor for Carbonic Anhydrase. Scientific Reports. 7(1). 10324–10324. 11 indexed citations

11.

Hu, Wenting, Xiaomeng Su, Zhikai Zhu, Eden P. Go, & Heather Desaire. (2016). GlycoPep MassList: software to generate massive inclusion lists for glycopeptide analyses. Analytical and Bioanalytical Chemistry. 409(2). 561–570. 14 indexed citations

12.

Xu, Li, Eden P. Go, Joel Finney, et al.. (2013). Post-translational Modifications of Recombinant Human Lysyl Oxidase-like 2 (rhLOXL2) Secreted from Drosophila S2 Cells*. Journal of Biological Chemistry. 288(8). 5357–5363. 32 indexed citations

13.

Go, Eden P., et al.. (2012). In-Solution Digestion of Glycoproteins for Glycopeptide-Based Mass Analysis. Methods in molecular biology. 951. 103–111. 3 indexed citations

14.

Hua, David, et al.. (2012). GlycoPep Grader: A Web-Based Utility for Assigning the Composition ofN-Linked Glycopeptides. Analytical Chemistry. 84(11). 4821–4829. 65 indexed citations

15.

Desaire, Heather, et al.. (2012). Software for automated interpretation of mass spectrometry data from glycans and glycopeptides. The Analyst. 138(10). 2793–2793. 55 indexed citations

16.

Jo, Sunhwan, Kevin Song, Heather Desaire, Alexander D. MacKerell, & Wonpil Im. (2011). Glycan reader: Automated sugar identification and simulation preparation for carbohydrates and glycoproteins. Journal of Computational Chemistry. 32(14). 3135–3141. 172 indexed citations

17.

Desaire, Heather, et al.. (2011). Recent Mass Spectrometric Based Methods in Quantitative N-linked Glycoproteomics. Current Proteomics. 8(4). 269–277. 4 indexed citations

18.

Dalpathado, Dilusha S. & Heather Desaire. (2008). Glycopeptide analysis by mass spectrometry. The Analyst. 133(6). 731–731. 127 indexed citations

19.

Dalpathado, Dilusha S., et al.. (2007). Application of the statistical test of equivalent pathways (STEP) method to the triple quadrupole mass spectrometer. Rapid Communications in Mass Spectrometry. 21(20). 3365–3372.

20.

Desaire, Heather & Julie A. Leary. (2000). Detection and quantification of the sulfated disaccharides in chondroitin sulfate by electrospray tandem mass spectrometry. Journal of the American Society for Mass Spectrometry. 11(10). 916–920. 97 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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