Emmanuelle Lipka

145 total papers · 1.4k total citations
90 papers, 1.1k citations indexed

About

Emmanuelle Lipka is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Emmanuelle Lipka has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Spectroscopy, 35 papers in Biomedical Engineering and 23 papers in Analytical Chemistry. Recurrent topics in Emmanuelle Lipka's work include Analytical Chemistry and Chromatography (63 papers), Microfluidic and Capillary Electrophoresis Applications (32 papers) and Chromatography in Natural Products (18 papers). Emmanuelle Lipka is often cited by papers focused on Analytical Chemistry and Chromatography (63 papers), Microfluidic and Capillary Electrophoresis Applications (32 papers) and Chromatography in Natural Products (18 papers). Emmanuelle Lipka collaborates with scholars based in France, Romania and United Kingdom. Emmanuelle Lipka's co-authors include Claude Vaccher, Alina Ghinet, Jean‐Paul Bonte, Christophe Furman, Michael Howsam, Régis Millet, Saı̈d Yous, Benoı̂t Rigo, Julie Charton and Bezhan Chankvetadze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Emmanuelle Lipka

88 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Emmanuelle Lipka 639 392 305 228 195 90 1.1k
Claude Vaccher 681 1.1× 467 1.2× 434 1.4× 204 0.9× 317 1.6× 134 1.4k
Antoni Nasal 787 1.2× 217 0.6× 377 1.2× 361 1.6× 181 0.9× 49 1.1k
Julianna Szemán 519 0.8× 349 0.9× 273 0.9× 129 0.6× 142 0.7× 31 1.1k
Brian Wright 446 0.7× 173 0.4× 601 2.0× 193 0.8× 207 1.1× 58 1.3k
Jingwu Kang 549 0.9× 750 1.9× 532 1.7× 124 0.5× 61 0.3× 83 1.4k
Jian Liu 409 0.6× 200 0.5× 430 1.4× 79 0.3× 491 2.5× 73 1.3k
Gergő Tóth 538 0.8× 321 0.8× 430 1.4× 244 1.1× 181 0.9× 105 1.4k
Li‐Kang Zhang 414 0.6× 154 0.4× 445 1.5× 143 0.6× 258 1.3× 43 1.3k
Xin Wang 208 0.3× 219 0.6× 349 1.1× 53 0.2× 108 0.6× 89 1.3k
Fabrizio Melani 214 0.3× 137 0.3× 372 1.2× 145 0.6× 503 2.6× 71 1.2k

Countries citing papers authored by Emmanuelle Lipka

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Lipka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Lipka

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Lipka. A scholar is included among the top collaborators of Emmanuelle Lipka 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 Emmanuelle Lipka. Emmanuelle Lipka 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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