Alex S. Hebert

535 total citations
9 papers, 360 citations indexed

About

Alex S. Hebert is a scholar working on Molecular Biology, Biomedical Engineering and Physiology. According to data from OpenAlex, Alex S. Hebert has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Physiology. Recurrent topics in Alex S. Hebert's work include Biofuel production and bioconversion (3 papers), Mitochondrial Function and Pathology (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Alex S. Hebert is often cited by papers focused on Biofuel production and bioconversion (3 papers), Mitochondrial Function and Pathology (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Alex S. Hebert collaborates with scholars based in United States, Switzerland and Philippines. Alex S. Hebert's co-authors include Joshua J. Coon, Michael S. Westphall, David J. Pagliarini, Adam Jochem, Dana A. Opulente, Guillaume Achaz, Nikolaos Vakirlis, Chris Todd Hittinger, Gilles Fischer and Ingrid Lafontaine and has published in prestigious journals such as Cell Metabolism, Scientific Reports and Nature Protocols.

In The Last Decade

Alex S. Hebert

9 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex S. Hebert United States	7	309	47	38	32	31	9	360
Enrica Calvani United Kingdom	10	339 1.1×	25 0.5×	42 1.1×	16 0.5×	8 0.3×	11	423
Annabelle Hoegl Canada	11	250 0.8×	22 0.5×	32 0.8×	13 0.4×	11 0.4×	13	359
Kyle Mohler United States	11	370 1.2×	26 0.6×	78 2.1×	20 0.6×	11 0.4×	19	431
Arnab Modak United States	8	238 0.8×	13 0.3×	34 0.9×	11 0.3×	24 0.8×	12	292
Jérôme Garin France	6	328 1.1×	78 1.7×	11 0.3×	29 0.9×	27 0.9×	6	412
Hamid Baniasadi United States	9	272 0.9×	36 0.8×	27 0.7×	17 0.5×	26 0.8×	16	350
Jordan A. Berg United States	9	299 1.0×	10 0.2×	12 0.3×	46 1.4×	57 1.8×	13	408
Homa Majd United Kingdom	4	206 0.7×	10 0.2×	14 0.4×	44 1.4×	26 0.8×	6	266
Tushar H. More Germany	11	203 0.7×	31 0.7×	15 0.4×	11 0.3×	21 0.7×	28	315
Elyse C. Freiberger United States	7	251 0.8×	35 0.7×	28 0.7×	30 0.9×	25 0.8×	8	343

Countries citing papers authored by Alex S. Hebert

Since Specialization

Citations

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

Fields of papers citing papers by Alex S. Hebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex S. Hebert. 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 Alex S. Hebert. The network helps show where Alex S. Hebert may publish in the future.

Co-authorship network of co-authors of Alex S. Hebert

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

All Works

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9 of 9 papers shown

1.

Qu, Yanyan, Elizabeth H. Peuchen, Matthew M. Champion, et al.. (2020). Quantitative capillary zone electrophoresis-mass spectrometry reveals the N -glycome developmental plan during vertebrate embryogenesis. Molecular Omics. 16(3). 210–220. 5 indexed citations

2.

Zhang, Yaoping, et al.. (2020). Genome-Scale Transcription-Translation Mapping Reveals Features of Zymomonas mobilis Transcription Units and Promoters. mSystems. 5(4). 21 indexed citations

3.

McGee, Mick, Alan Higbee, Alex S. Hebert, et al.. (2018). Chemical genomic guided engineering of gamma-valerolactone tolerant yeast. Microbial Cell Factories. 17(1). 5–5. 12 indexed citations

4.

Overmyer, Katherine A., Stefka Tyanova, Alex S. Hebert, et al.. (2018). Multiplexed proteome analysis with neutron-encoded stable isotope labeling in cells and mice. Nature Protocols. 13(2). 293–306. 34 indexed citations

5.

Wilkerson, Emily, et al.. (2018). Expression of novel “LOCGEF” isoforms of ARHGEF18 in eosinophils. Journal of Leukocyte Biology. 104(1). 135–145. 2 indexed citations

6.

Peuchen, Elizabeth H., Liangliang Sun, Alex S. Hebert, et al.. (2017). Phosphorylation Dynamics Dominate the Regulated Proteome during Early Xenopus Development. Scientific Reports. 7(1). 15647–15647. 22 indexed citations

7.

Reidenbach, Andrew G., Zachary A. Kemmerer, Deniz Aydın, et al.. (2017). Conserved Lipid and Small-Molecule Modulation of COQ8 Reveals Regulation of the Ancient Kinase-like UbiB Family. Cell chemical biology. 25(2). 154–165.e11. 53 indexed citations

8.

Vakirlis, Nikolaos, Alex S. Hebert, Dana A. Opulente, et al.. (2017). A Molecular Portrait of De Novo Genes in Yeasts. Molecular Biology and Evolution. 35(3). 631–645. 89 indexed citations

9.

Grimsrud, Paul A., Joshua J. Carson, Alex S. Hebert, et al.. (2012). A Quantitative Map of the Liver Mitochondrial Phosphoproteome Reveals Posttranslational Control of Ketogenesis. Cell Metabolism. 16(5). 672–683. 122 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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