Jake A. Melby

875 total citations
19 papers, 602 citations indexed

About

Jake A. Melby is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Jake A. Melby has authored 19 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Spectroscopy and 2 papers in Surgery. Recurrent topics in Jake A. Melby's work include Mass Spectrometry Techniques and Applications (11 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jake A. Melby is often cited by papers focused on Mass Spectrometry Techniques and Applications (11 papers), Advanced Proteomics Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Jake A. Melby collaborates with scholars based in United States, China and Germany. Jake A. Melby's co-authors include Ying Ge, David S. Roberts, Kyle A. Brown, Eli J. Larson, Song Jin, Elizabeth F. Bayne, Yanlong Zhu, Sean J. McIlwain, Zhijie Wu and Allan R. Brasier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Jake A. Melby

19 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake A. Melby United States 12 390 374 60 44 41 19 602
Trisha Tucholski United States 15 477 1.2× 466 1.2× 91 1.5× 27 0.6× 40 1.0× 23 709
Bifan Chen United States 13 510 1.3× 564 1.5× 91 1.5× 56 1.3× 20 0.5× 19 754
Matthew B. O’Rourke Australia 11 218 0.6× 183 0.5× 55 0.9× 85 1.9× 15 0.4× 28 417
Matthew R. Schenauer United States 10 486 1.2× 228 0.6× 32 0.5× 30 0.7× 90 2.2× 12 618
Stefan K. Solntsev United States 10 375 1.0× 302 0.8× 23 0.4× 37 0.8× 23 0.6× 10 504
Chris Hughes United Kingdom 12 375 1.0× 298 0.8× 27 0.5× 18 0.4× 14 0.3× 23 546
Cassandra J. Wong Canada 10 328 0.8× 179 0.5× 57 0.9× 33 0.8× 48 1.2× 24 481
David Bonnel France 15 499 1.3× 616 1.6× 54 0.9× 37 0.8× 27 0.7× 26 911
William E. Fondrie United States 12 369 0.9× 165 0.4× 67 1.1× 31 0.7× 10 0.2× 25 597
Emmanuelle Sachon France 13 345 0.9× 157 0.4× 19 0.3× 22 0.5× 60 1.5× 40 512

Countries citing papers authored by Jake A. Melby

Since Specialization
Citations

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

Fields of papers citing papers by Jake A. Melby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake A. Melby. 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 Jake A. Melby. The network helps show where Jake A. Melby may publish in the future.

Co-authorship network of co-authors of Jake A. Melby

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

All Works

19 of 19 papers shown
1.
Kim, Seong-Min, et al.. (2024). Quantum Cascade Laser Infrared Spectroscopy for Glycan Analysis of Glycoprotein Solutions. Analytical Chemistry. 96(32). 13120–13130. 3 indexed citations
2.
3.
Roberts, David S., Timothy N. Tiambeng, J. H. Andrews, et al.. (2023). Structure and dynamics of endogenous cardiac troponin complex in human heart tissue captured by native nanoproteomics. Nature Communications. 14(1). 8400–8400. 16 indexed citations
4.
Lange, Willem J. de, Jake A. Melby, Jianhua Zhang, et al.. (2023). Lactate- and immunomagnetic-purified hiPSC–derived cardiomyocytes generate comparable engineered cardiac tissue constructs. JCI Insight. 9(1). 6 indexed citations
5.
Larson, Eli J., Melissa R. Pergande, Rephael Wenger, et al.. (2023). MASH Native: a unified solution for native top-down proteomics data processing. Bioinformatics. 39(6). 22 indexed citations
6.
Roberts, David S., et al.. (2023). Comprehensive Characterization of Endogenous Phospholamban Proteoforms Enabled by Photocleavable Surfactant and Top-down Proteomics. Analytical Chemistry. 95(35). 13091–13100. 8 indexed citations
7.
Melby, Jake A., Kyle A. Brown, Zachery R. Gregorich, et al.. (2023). High sensitivity top–down proteomics captures single muscle cell heterogeneity in large proteoforms. Proceedings of the National Academy of Sciences. 120(19). e2222081120–e2222081120. 38 indexed citations
8.
Melby, Jake A., et al.. (2023). Defining the Sarcomeric Proteoform Landscape in Ischemic Cardiomyopathy by Top-Down Proteomics. Journal of Proteome Research. 22(3). 931–941. 19 indexed citations
9.
Larson, Eli J., Zachery R. Gregorich, Yanghai Zhang, et al.. (2022). Rbm20 ablation is associated with changes in the expression of titin-interacting and metabolic proteins. Molecular Omics. 18(7). 627–634. 3 indexed citations
10.
Tiambeng, Timothy N., Zhijie Wu, Jake A. Melby, & Ying Ge. (2022). Size Exclusion Chromatography Strategies and MASH Explorer for Large Proteoform Characterization. Methods in molecular biology. 2500. 15–30. 6 indexed citations
11.
Roberts, David S., et al.. (2021). Ultrafast and Reproducible Proteomics from Small Amounts of Heart Tissue Enabled by Azo and timsTOF Pro. Journal of Proteome Research. 20(8). 4203–4211. 43 indexed citations
12.
Roberts, David S., Jake A. Melby, Eli J. Larson, et al.. (2021). Structural O-Glycoform Heterogeneity of the SARS-CoV-2 Spike Protein Receptor-Binding Domain Revealed by Top-Down Mass Spectrometry. Journal of the American Chemical Society. 143(31). 12014–12024. 58 indexed citations
13.
Melby, Jake A., David S. Roberts, Eli J. Larson, et al.. (2021). Novel Strategies to Address the Challenges in Top-Down Proteomics. Journal of the American Society for Mass Spectrometry. 32(6). 1278–1294. 137 indexed citations
14.
Larson, Eli J., David S. Roberts, Jake A. Melby, et al.. (2021). High-Throughput Multi-attribute Analysis of Antibody-Drug Conjugates Enabled by Trapped Ion Mobility Spectrometry and Top-Down Mass Spectrometry. Analytical Chemistry. 93(29). 10013–10021. 41 indexed citations
15.
Melby, Jake A., Willem J. de Lange, Jianhua Zhang, et al.. (2021). Functionally Integrated Top-Down Proteomics for Standardized Assessment of Human Induced Pluripotent Stem Cell-Derived Engineered Cardiac Tissues. Journal of Proteome Research. 20(2). 1424–1433. 14 indexed citations
16.
Brown, Kyle A., Jake A. Melby, David S. Roberts, & Ying Ge. (2020). Top-down proteomics: challenges, innovations, and applications in basic and clinical research. Expert Review of Proteomics. 17(10). 719–733. 101 indexed citations
17.
Wu, Zhijie, David S. Roberts, Jake A. Melby, et al.. (2020). MASH Explorer: A Universal Software Environment for Top-Down Proteomics. Journal of Proteome Research. 19(9). 3867–3876. 63 indexed citations
18.
Melby, Jake A., Yutong Jin, Ziqing Lin, et al.. (2019). Top-Down Proteomics Reveals Myofilament Proteoform Heterogeneity among Various Rat Skeletal Muscle Tissues. Journal of Proteome Research. 19(1). 446–454. 16 indexed citations
19.
Melby, Jake A.. (2003). JTRS and the evolution toward software-defined radio. 2. 1286–1290. 7 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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