Charlotte Macron

793 total citations
12 papers, 418 citations indexed

About

Charlotte Macron is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Charlotte Macron has authored 12 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Spectroscopy and 2 papers in Genetics. Recurrent topics in Charlotte Macron's work include Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Charlotte Macron is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Charlotte Macron collaborates with scholars based in Switzerland, France and Denmark. Charlotte Macron's co-authors include Loı̈c Dayon, Antonio Núñez Galindo, Lydie Lane, Ornella Cominetti, Christine Carapito, Magali Rompais, Sarah Cianférani, Jörg Hager, Odile Burlet‐Schiltz and David Bouyssié and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Molecular & Cellular Proteomics.

In The Last Decade

Charlotte Macron

12 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charlotte Macron Switzerland	9	258	144	30	29	28	12	418
Joanne B. Connolly United Kingdom	8	230 0.9×	136 0.9×	44 1.5×	43 1.5×	19 0.7×	10	375
Shane L. Hubler United States	9	483 1.9×	144 1.0×	42 1.4×	29 1.0×	16 0.6×	12	696
Hans Dalebout Netherlands	13	330 1.3×	127 0.9×	31 1.0×	43 1.5×	29 1.0×	22	432
R. Hussain Butt Canada	9	252 1.0×	188 1.3×	10 0.3×	46 1.6×	21 0.8×	10	382
Je‐Hyun Baek South Korea	15	401 1.6×	45 0.3×	23 0.8×	54 1.9×	17 0.6×	36	592
Dmitry S. Karpov Russia	14	495 1.9×	101 0.7×	54 1.8×	63 2.2×	16 0.6×	75	645
A. Linden Germany	17	883 3.4×	52 0.4×	61 2.0×	35 1.2×	13 0.5×	21	1.0k
Nithu Sara John United Kingdom	2	207 0.8×	31 0.2×	36 1.2×	27 0.9×	8 0.3×	2	386
Dustin C. Frost United States	16	484 1.9×	435 3.0×	31 1.0×	33 1.1×	35 1.3×	25	796
Matthias Ziehm Germany	11	210 0.8×	35 0.2×	53 1.8×	18 0.6×	8 0.3×	19	547

Countries citing papers authored by Charlotte Macron

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte Macron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Macron

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

All Works

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12 of 12 papers shown

Dayon, Loı̈c, Charlotte Macron, Sabine L. Lahrichi, Antonio Núñez Galindo, & Michael Affolter. (2021). Proteomics of Human Milk: Definition of a Discovery Workflow for Clinical Research Studies. Journal of Proteome Research. 20(5). 2283–2290. 17 indexed citations

Macron, Charlotte, Rob Lavigne, Antonio Núñez Galindo, et al.. (2020). Exploration of human cerebrospinal fluid: A large proteome dataset revealed by trapped ion mobility time-of-flight mass spectrometry. SHILAP Revista de lepidopterología. 31. 105704–105704. 16 indexed citations

Bouyssié, David, Anne-Marie Hesse, Emmanuelle Mouton‐Barbosa, et al.. (2020). Proline: an efficient and user-friendly software suite for large-scale proteomics. Bioinformatics. 36(10). 3148–3155. 144 indexed citations

Bruderer, Roland, Jan Muntel, Sebastian Müller, et al.. (2019). Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance. Molecular & Cellular Proteomics. 18(6). 1242–1254. 118 indexed citations

Bons, Joanna, Charlotte Macron, Catherine Aude‐Garcia, et al.. (2019). A Combined N-terminomics and Shotgun Proteomics Approach to Investigate the Responses of Human Cells to Rapamycin and Zinc at the Mitochondrial Level. Molecular & Cellular Proteomics. 18(6). 1085–1095. 4 indexed citations

Galindo, Antonio Núñez, Charlotte Macron, Ornella Cominetti, & Loı̈c Dayon. (2019). Analyzing Cerebrospinal Fluid Proteomes to Characterize Central Nervous System Disorders: A Highly Automated Mass Spectrometry-Based Pipeline for Biomarker Discovery. Methods in molecular biology. 1959. 89–112. 5 indexed citations

Macron, Charlotte, Antonio Núñez Galindo, Ornella Cominetti, & Loı̈c Dayon. (2019). A Versatile Workflow for Cerebrospinal Fluid Proteomic Analysis with Mass Spectrometry: A Matter of Choice between Deep Coverage and Sample Throughput. Methods in molecular biology. 2044. 129–154. 9 indexed citations

Macron, Charlotte, Lydie Lane, Antonio Núñez Galindo, & Loı̈c Dayon. (2018). Identification of Missing Proteins in Normal Human Cerebrospinal Fluid. Journal of Proteome Research. 17(12). 4315–4319. 13 indexed citations

Macron, Charlotte, Lydie Lane, Antonio Núñez Galindo, & Loı̈c Dayon. (2018). Deep Dive on the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification. Journal of Proteome Research. 17(12). 4113–4126. 56 indexed citations

10.

Corthésy, John, Konstantinos Theofilatos, Seferina Mavroudi, et al.. (2018). An Adaptive Pipeline To Maximize Isobaric Tagging Data in Large-Scale MS-Based Proteomics. Journal of Proteome Research. 17(6). 2165–2173. 10 indexed citations

11.

Haller, Corinne, Prasad Chaskar, Julie Piccand, et al.. (2018). Insights into Islet Differentiation and Maturation through Proteomic Characterization of a Human iPSC‐Derived Pancreatic Endocrine Model. PROTEOMICS - CLINICAL APPLICATIONS. 12(5). e1600173–e1600173. 6 indexed citations

12.

Carapito, Christine, Paula Duek, Charlotte Macron, et al.. (2017). Validating Missing Proteins in Human Sperm Cells by Targeted Mass-Spectrometry- and Antibody-based Methods. Journal of Proteome Research. 16(12). 4340–4351. 20 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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