Isabel Ten‐Doménech

43 total papers · 427 total citations
31 papers, 297 citations indexed

About

Isabel Ten‐Doménech is a scholar working on Nutrition and Dietetics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Isabel Ten‐Doménech has authored 31 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nutrition and Dietetics, 13 papers in Molecular Biology and 6 papers in Spectroscopy. Recurrent topics in Isabel Ten‐Doménech's work include Infant Nutrition and Health (13 papers), Fatty Acid Research and Health (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Isabel Ten‐Doménech is often cited by papers focused on Infant Nutrition and Health (13 papers), Fatty Acid Research and Health (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Isabel Ten‐Doménech collaborates with scholars based in Spain, Austria and Italy. Isabel Ten‐Doménech's co-authors include Julia Kuligowski, Ernesto Francisco Simó‐Alfonso, Alfonso Quintás‐Cardama, José Manuel Herrero‐Martínez, Máximo Vento, Anna Parra‐Llorca, María Gormáz, Eduardo Beltrán, Juan V. Sancho and Marta Moreno‐Torres and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Lipid Research.

In The Last Decade

Isabel Ten‐Doménech

27 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Isabel Ten‐Doménech	132	118	53	46	38	31	297
Xincen Wang	224 1.7×	90 0.8×	31 0.6×	43 0.9×	40 1.1×	29	366
Katarzyna Macur	110 0.8×	41 0.3×	36 0.7×	61 1.3×	15 0.4×	27	324
Carolina Barola	104 0.8×	49 0.4×	31 0.6×	22 0.5×	22 0.6×	28	338
Jianwei Ren	96 0.7×	81 0.7×	27 0.5×	14 0.3×	12 0.3×	30	331
F van Schaik	154 1.2×	97 0.8×	31 0.6×	13 0.3×	12 0.3×	14	364
Şaziye Sezin Palabıyık	55 0.4×	45 0.4×	14 0.3×	16 0.3×	23 0.6×	33	364
Céphora Maria Sabarense	46 0.3×	126 1.1×	25 0.5×	16 0.3×	20 0.5×	34	313
José David Piñeiro-Ramos	103 0.8×	59 0.5×	61 1.2×	25 0.5×	23 0.6×	21	297
Е. М. Stakhneva	69 0.5×	54 0.5×	47 0.9×	10 0.2×	16 0.4×	41	300
Inger Kruse	80 0.6×	53 0.4×	30 0.6×	7 0.2×	22 0.6×	21	284

Countries citing papers authored by Isabel Ten‐Doménech

Since Specialization

Citations

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

Fields of papers citing papers by Isabel Ten‐Doménech

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel Ten‐Doménech. 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 Isabel Ten‐Doménech. The network helps show where Isabel Ten‐Doménech may publish in the future.

Co-authorship network of co-authors of Isabel Ten‐Doménech

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Ten‐Doménech. A scholar is included among the top collaborators of Isabel Ten‐Doménech 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 Isabel Ten‐Doménech. Isabel Ten‐Doménech 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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