Marie‐Claude Millot

32 total papers · 732 total citations
22 papers, 634 citations indexed

About

Marie‐Claude Millot is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, Marie‐Claude Millot has authored 22 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 12 papers in Molecular Biology and 9 papers in Spectroscopy. Recurrent topics in Marie‐Claude Millot's work include Microfluidic and Capillary Electrophoresis Applications (9 papers), Analytical Chemistry and Chromatography (9 papers) and Protein purification and stability (5 papers). Marie‐Claude Millot is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (9 papers), Analytical Chemistry and Chromatography (9 papers) and Protein purification and stability (5 papers). Marie‐Claude Millot collaborates with scholars based in France, Greece and Switzerland. Marie‐Claude Millot's co-authors include Benjamin Carbonnier, Mohamed Guerrouache, Bernard Sébille, Claire Vidal‐Madjar, Michael Canva, Michel Goossens, Sandrine Lépinay, Pierre Ferdinand, Françoise Hervé and Guillaume Laffont and has published in prestigious journals such as Langmuir, Journal of Colloid and Interface Science and Journal of Chromatography A.

In The Last Decade

Marie‐Claude Millot

22 papers receiving 618 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marie‐Claude Millot	338	225	206	141	63	22	634
Terry Koerner	415 1.2×	117 0.5×	118 0.6×	141 1.0×	91 1.4×	25	738
Qian‐Hong Wan	403 1.2×	223 1.0×	216 1.0×	59 0.4×	41 0.7×	36	709
Tripta Kamra	281 0.8×	177 0.8×	146 0.7×	79 0.6×	51 0.8×	16	657
Thomas Thiele	167 0.5×	110 0.5×	121 0.6×	84 0.6×	110 1.7×	18	578
Anna Aliberti	209 0.6×	285 1.3×	94 0.5×	162 1.1×	90 1.4×	32	647
Senwu Li	302 0.9×	276 1.2×	254 1.2×	53 0.4×	39 0.6×	19	691
E. Peter Maziarz	145 0.4×	86 0.4×	273 1.3×	50 0.4×	85 1.3×	28	605
Guoping Yao	134 0.4×	404 1.8×	289 1.4×	34 0.2×	99 1.6×	13	609
Anthony V. Lemmo	433 1.3×	140 0.6×	245 1.2×	121 0.9×	26 0.4×	12	731
Naphtali O’Connor	120 0.4×	209 0.9×	96 0.5×	57 0.4×	215 3.4×	23	652

Countries citing papers authored by Marie‐Claude Millot

Since Specialization

Citations

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

Fields of papers citing papers by Marie‐Claude Millot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Claude Millot. 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 Marie‐Claude Millot. The network helps show where Marie‐Claude Millot may publish in the future.

Co-authorship network of co-authors of Marie‐Claude Millot

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

All Works

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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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