Eva Lattka

3.6k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Eva Lattka is a scholar working on Nutrition and Dietetics, Biochemistry and Molecular Biology. According to data from OpenAlex, Eva Lattka has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nutrition and Dietetics, 6 papers in Biochemistry and 5 papers in Molecular Biology. Recurrent topics in Eva Lattka's work include Fatty Acid Research and Health (10 papers), Lipid metabolism and biosynthesis (6 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Eva Lattka is often cited by papers focused on Fatty Acid Research and Health (10 papers), Lipid metabolism and biosynthesis (6 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Eva Lattka collaborates with scholars based in Germany, United States and United Kingdom. Eva Lattka's co-authors include Berthold Koletzko, Thomas Illig, Joachim Heinrich, Sonja Zeilinger, Colin Steer, Norman Klopp, Jerzy Adamski, Christian Gieger, Brigitte Kühnel and Annette Peters and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Journal of Lipid Research.

In The Last Decade

Eva Lattka

17 papers receiving 1.7k citations

Hit Papers

Tobacco Smoking Leads to Extensive Genome-Wide Changes in... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Lattka Germany 17 750 707 381 264 257 18 1.7k
Sonja Zeilinger Germany 12 167 0.2× 708 1.0× 266 0.7× 60 0.2× 229 0.9× 12 1.2k
Paola Casanello Chile 32 101 0.1× 455 0.6× 983 2.6× 115 0.4× 460 1.8× 83 2.4k
Grazia Cirillo Italy 25 317 0.4× 350 0.5× 114 0.3× 39 0.1× 312 1.2× 79 1.8k
Christopher Torrens United Kingdom 22 292 0.4× 727 1.0× 1.7k 4.3× 51 0.2× 444 1.7× 49 2.3k
Fredrick J. Rosario United States 25 97 0.1× 505 0.7× 1.3k 3.5× 92 0.3× 247 1.0× 53 2.1k
Anna Grandone Italy 24 249 0.3× 339 0.5× 161 0.4× 34 0.1× 314 1.2× 97 1.9k
Bénédicte Fontaine‐Bisson Canada 20 214 0.3× 197 0.3× 186 0.5× 41 0.2× 138 0.5× 39 985
Irving L.M.H. Aye United States 20 114 0.2× 373 0.5× 1.0k 2.7× 46 0.2× 206 0.8× 32 2.0k
Stella Aslibekyan United States 21 87 0.1× 853 1.2× 207 0.5× 38 0.1× 249 1.0× 55 1.4k
Heidi Peters Australia 25 97 0.1× 754 1.1× 184 0.5× 69 0.3× 383 1.5× 58 1.7k

Countries citing papers authored by Eva Lattka

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lattka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lattka

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

All Works

18 of 18 papers shown
1.
Anjos, Tânia Gomes, Signe Altmäe, Pauline Emmett, et al.. (2013). Nutrition and neurodevelopment in children: focus on NUTRIMENTHE project. European Journal of Nutrition. 52(8). 1825–1842. 100 indexed citations
2.
Steer, Colin, Eva Lattka, Berthold Koletzko, Jean Golding, & Joseph R. Hibbeln. (2013). Maternal fatty acids in pregnancy, FADS polymorphisms, and child intelligence quotient at 8 y of age. American Journal of Clinical Nutrition. 98(6). 1575–1582. 51 indexed citations
3.
Zeilinger, Sonja, Brigitte Kühnel, Norman Klopp, et al.. (2013). Tobacco Smoking Leads to Extensive Genome-Wide Changes in DNA Methylation. PLoS ONE. 8(5). e63812–e63812. 538 indexed citations breakdown →
4.
Rzehak, Peter, Veit Grote, Eva Lattka, et al.. (2013). Associations of IGF-1 gene variants and milk protein intake with IGF-I concentrations in infants at age 6 months — Results from a randomized clinical trial. Growth Hormone & IGF Research. 23(5). 149–158. 17 indexed citations
5.
Lattka, Eva, Norman Klopp, Hans Demmelmair, et al.. (2012). Genetic Variations in Polyunsaturated Fatty Acid Metabolism – Implications for Child Health?. Annals of Nutrition and Metabolism. 60(Suppl. 3). 8–17. 37 indexed citations
6.
Standl, Marie, Eva Lattka, Barbara Stach, et al.. (2012). FADS1 FADS2 Gene Cluster, PUFA Intake and Blood Lipids in Children: Results from the GINIplus and LISAplus Studies. PLoS ONE. 7(5). e37780–e37780. 51 indexed citations
7.
Lattka, Eva, Berthold Koletzko, Sonja Zeilinger, et al.. (2012). Umbilical cord PUFA are determined by maternal and child fatty acid desaturase (FADS) genetic variants in the Avon Longitudinal Study of Parents and Children (ALSPAC). British Journal Of Nutrition. 109(7). 1196–1210. 54 indexed citations
8.
Standl, Marie, Stefanie Sausenthaler, Eva Lattka, et al.. (2011). FADS gene variants modulate the effect of dietary fatty acid intake on allergic diseases in children. Clinical & Experimental Allergy. 41(12). 1757–1766. 26 indexed citations
9.
Standl, Marie, Stefanie Sausenthaler, Eva Lattka, et al.. (2011). FADS gene cluster modulates the effect of breastfeeding on asthma. Results from the GINIplus and LISAplus studies. Allergy. 67(1). 83–90. 46 indexed citations
10.
Glaser, Claudia, Eva Lattka, Peter Rzehak, Colin Steer, & Berthold Koletzko. (2011). Genetic variation in polyunsaturated fatty acid metabolism and its potential relevance for human development and health. Maternal and Child Nutrition. 7(s2). 27–40. 116 indexed citations
12.
Lattka, Eva, Thomas Illig, Berthold Koletzko, & Joachim Heinrich. (2010). Genetic variants of the FADS1 FADS2 gene cluster as related to essential fatty acid metabolism. Current Opinion in Lipidology. 21(1). 64–69. 151 indexed citations
13.
Koletzko, Berthold, Eva Lattka, Sonja Zeilinger, Thomas Illig, & Colin Steer. (2010). Genetic variants of the fatty acid desaturase gene cluster predict amounts of red blood cell docosahexaenoic and other polyunsaturated fatty acids in pregnant women: findings from the Avon Longitudinal Study of Parents and Children. American Journal of Clinical Nutrition. 93(1). 211–219. 136 indexed citations
14.
Lattka, Eva, Thomas Illig, Joachim Heinrich, & Berthold Koletzko. (2009). <i>FADS</i> Gene Cluster Polymorphisms: Important Modulators of Fatty Acid Levels and Their Impact on Atopic Diseases. Lifestyle Genomics. 2(3). 119–128. 47 indexed citations
15.
Lattka, Eva, Stefanie Eggers, Gabriele Moeller, et al.. (2009). A common FADS2 promoter polymorphism increases promoter activity and facilitates binding of transcription factor ELK1. Journal of Lipid Research. 51(1). 182–191. 65 indexed citations
16.
Witte, John S., Artemis P. Simopoulos, Oliviero Olivieri, et al.. (2009). The European Nutrigenomics Organisation. 2(3). 162–162.
17.
Lattka, Eva, Thomas Illig, Joachim Heinrich, & Berthold Koletzko. (2009). Do FADS genotypes enhance our knowledge about fatty acid related phenotypes?. Clinical Nutrition. 29(3). 277–287. 91 indexed citations
18.
Wang‐Sattler, Rui, Yao Yu, Kirstin Mittelstraß, et al.. (2008). Metabolic Profiling Reveals Distinct Variations Linked to Nicotine Consumption in Humans — First Results from the KORA Study. PLoS ONE. 3(12). e3863–e3863. 96 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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