Jesse G. Meyer

4.8k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Jesse G. Meyer is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Jesse G. Meyer has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 23 papers in Spectroscopy and 7 papers in Physiology. Recurrent topics in Jesse G. Meyer's work include Advanced Proteomics Techniques and Applications (23 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Jesse G. Meyer is often cited by papers focused on Advanced Proteomics Techniques and Applications (23 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Jesse G. Meyer collaborates with scholars based in United States, Spain and Canada. Jesse G. Meyer's co-authors include Birgit Schilling, Eric Verdin, Chris Carrico, Brad Gibson, Wenjuan He, Elizabeth A. Komives, Joshua J. Coon, Nathan Basisty, Bradford W. Gibson and C. Ronald Kahn and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Jesse G. Meyer

47 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry

2024 56 citations Yuming Jiang, Simion Kreimer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jesse G. Meyer United States	22	1.1k	512	329	294	223	49	1.9k
Jason M. Held United States	24	1.2k 1.0×	284 0.6×	318 1.0×	212 0.7×	171 0.8×	53	2.3k
Dylan J. Sorensen United States	14	1.1k 0.9×	348 0.7×	210 0.6×	158 0.5×	236 1.1×	14	1.6k
Matthew J. Rardin United States	17	1.4k 1.2×	316 0.6×	711 2.2×	514 1.7×	785 3.5×	24	2.4k
Derek J. Bailey United States	24	2.8k 2.4×	1.9k 3.8×	376 1.1×	276 0.9×	307 1.4×	32	3.9k
Damiana Pieragostino Italy	30	1.5k 1.3×	250 0.5×	215 0.7×	119 0.4×	40 0.2×	88	2.6k
Sricharan Bandhakavi United States	19	1.6k 1.5×	371 0.7×	304 0.9×	174 0.6×	22 0.1×	25	2.2k
Jae Won Chang United States	22	1.2k 1.0×	134 0.3×	134 0.4×	240 0.8×	35 0.2×	47	2.3k
Vagisha Sharma United States	11	992 0.9×	391 0.8×	514 1.6×	99 0.3×	33 0.1×	15	1.7k
Mariam Aghajan United States	21	1.7k 1.5×	98 0.2×	225 0.7×	496 1.7×	45 0.2×	41	2.9k
Thomas M. Vondriska United States	23	1.8k 1.6×	169 0.3×	228 0.7×	148 0.5×	23 0.1×	66	2.5k

Countries citing papers authored by Jesse G. Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Jesse G. Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse G. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse G. Meyer. A scholar is included among the top collaborators of Jesse G. Meyer 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 Jesse G. Meyer. Jesse G. Meyer 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

Jiang, Yuming, et al.. (2025). Cell Storage Conditions Impact Single-Cell Proteomic Landscapes. Journal of Proteome Research. 24(4). 1586–1595. 1 indexed citations

Choi, So Yung, Catherine Bresee, Mourad Tighiouart, et al.. (2025). Data-driven discovery of medication effects on blood glucose from electronic health records. Patterns. 6(11). 101312–101312. 1 indexed citations

Hutton, A., et al.. (2025). PSCS: Unified Sharing of Single-Cell Omics Data, Analyses, and Results. Journal of Proteome Research. 24(9). 4825–4830.

Zhang, Ran, Xueshu Xie, Chris Carrico, et al.. (2024). Regulation of urea cycle by reversible high-stoichiometry lysine succinylation. Nature Metabolism. 6(3). 550–566. 11 indexed citations

Jiang, Yuming, et al.. (2024). The Future of Proteomics is Up in the Air: Can Ion Mobility Replace Liquid Chromatography for High Throughput Proteomics?. Journal of Proteome Research. 23(6). 1871–1882. 10 indexed citations

Kreimer, Simion, Aleksandra Binek, Jae Hyung Cho, et al.. (2023). High-Throughput Single-Cell Proteomic Analysis of Organ-Derived Heterogeneous Cell Populations by Nanoflow Dual-Trap Single-Column Liquid Chromatography. Analytical Chemistry. 95(24). 9145–9150. 25 indexed citations

Jiang, Yuming, Simion Kreimer, Mitra Mastali, et al.. (2023). A Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics. Journal of the American Society for Mass Spectrometry. 34(9). 1858–1867. 11 indexed citations

Sinitcyn, Pavel, Alicia Richards, Robert J. Weatheritt, et al.. (2023). Global detection of human variants and isoforms by deep proteome sequencing. Nature Biotechnology. 41(12). 1776–1786. 92 indexed citations

Shamsa, Ali, et al.. (2022). Bias or biology? Importance of model interpretation in machine learning studies from electronic health records. JAMIA Open. 5(3). ooac063–ooac063. 11 indexed citations

10.

Ott, Martin, et al.. (2022). Multi-omic integration by machine learning (MIMaL). Bioinformatics. 38(21). 4908–4918. 8 indexed citations

11.

Jiang, Yuming, et al.. (2022). Label-Free Quantification from Direct Infusion Shotgun Proteome Analysis (DISPA-LFQ) with CsoDIAq Software. Analytical Chemistry. 95(2). 677–685. 11 indexed citations

12.

Kreimer, Simion, Aleksandra Binek, Alisse Hauspurg, et al.. (2022). Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis. Analytical Chemistry. 94(36). 12452–12460. 20 indexed citations

13.

Malard, Florian, et al.. (2022). EpyNN: Educational python for Neural Networks. SoftwareX. 19. 101140–101140. 2 indexed citations

14.

Meyer, Jesse G., et al.. (2021). CsoDIAq Software for Direct Infusion Shotgun Proteome Analysis. Analytical Chemistry. 93(36). 12312–12319. 12 indexed citations

15.

Meyer, Jesse G., et al.. (2019). Proteome and Secretome Dynamics of Human Retinal Pigment Epithelium in Response to Reactive Oxygen Species. Scientific Reports. 9(1). 15440–15440. 23 indexed citations

16.

Park, Annie, et al.. (2019). Glycemic Control in Adult Surgical Patients Receiving Regular Insulin Added to Parenteral Nutrition vs Insulin Glargine: A Retrospective Chart Review. Nutrition in Clinical Practice. 34(5). 775–782. 6 indexed citations

17.

Christensen, David G., Jesse G. Meyer, Alexandria K. D’Souza, et al.. (2018). Identification of Novel Protein Lysine Acetyltransferases in Escherichia coli. mBio. 9(5). 85 indexed citations

18.

Meyer, Jesse G., et al.. (2018). Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry. Journal of Visualized Experiments. 11 indexed citations

19.

Lumpkin, Ryan J., Hongbo Gu, Yiying Zhu, et al.. (2017). Site-specific identification and quantitation of endogenous SUMO modifications under native conditions. Nature Communications. 8(1). 1171–1171. 103 indexed citations

20.

Meyer, Jesse G., Sangtae Kim, David Maltby, et al.. (2014). Expanding Proteome Coverage with Orthogonal-specificity α-Lytic Proteases. Molecular & Cellular Proteomics. 13(3). 823–835. 51 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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