Eva Tyteca

746 citations
22 papers · 644 · h-index 15

Impact in

    • Analytical Chemistry and Chromatography
    • Analytical Methods in Pharmaceuticals
    • Spectroscopy and Chemometric Analyses

Papers in

Eva Tyteca

22 papers receiving 631 citations

Peers

Eva Tyteca
Comparison fields: 5 of 40
  • Spectroscopy 392
  • Analytical Chemistry 138
  • Insect Science 113
  • Computational Theory and Mathematics 61
  • Animal Science and Zoology 16
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Lili Li China
Kerstin Scheubert Germany
Maryam Taraji Australia
Karine Primieri Nicolli Brazil
Tiphaine Péresse France
Janiece L. Hope United States
Elizabeth Billings United States
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Cord Lüllmann Germany
Vincent P. Sica United States
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Citations per field
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Citations per year

Countries citing papers authored by Eva Tyteca

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tyteca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Tyteca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Tyteca Line = papers co-authored together Eva Tyteca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 201464
3 201440
4 201739
5 201237
6 201537
7 201636
8 201633
9 201429
10 201629
11 201927
12 201625
13 201422
14 201722
15 201716
16 201515
17 201413
18 201713
19 201511
20 20158

About Eva Tyteca

Eva Tyteca is a scholar working on Spectroscopy, Computational Theory and Mathematics, Animal Science and Zoology, Insect Science and Health, Toxicology and Mutagenesis, having authored 22 papers that have together received 644 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (18 papers), Computational Drug Discovery Methods (3 papers), Protein purification and stability (2 papers), Pesticide Residue Analysis and Safety (1 paper), Advanced Chemical Physics Studies (1 paper), Meat and Animal Product Quality (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Spectroscopy (392 citations), Analytical Chemistry (138 citations), Insect Science (113 citations), Computational Theory and Mathematics (61 citations) and Animal Science and Zoology (16 citations). Eva Tyteca has collaborated with scholars based in Belgium, United Kingdom and Australia. Frequent co-authors include Gert Desmet, Davy Guillarme, Serge L. Rudaz, Sebastiaan Eeltink, Paul R. Haddad, Aurélie Periat, Roman Szücs, Soo Hyun Park, Christopher A. Pohl and Ruth I. J. Amos. Their work appears in journals such as Journal of Chromatography A, Journal of Separation Science, Chromatographia, Bioanalysis and Analytical Chemistry.

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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