Eva Lattka

3.7k citations
18 papers · 1.7k · 1 hit paper · h-index 17

Impact in

Papers in

Eva Lattka

17 papers receiving 1.7k citations

Eva Lattka's Hit Papers

Tobacco Smoking Leads to Extensive Genome-Wide Changes in DNA Methylation 2013 · 544 citations
5440+4+8Years since publication100200300400500

Peers

Eva Lattka
Comparison fields: 5 of 104
  • Nutrition and Dietetics 699
  • Biochemistry 186
  • Pediatrics, Perinatology and Child Health 261
  • Molecular Biology 614
  • Endocrinology, Diabetes and Metabolism 120
Replace Sonja Zeilinger with:
Sonja Zeilinger Germany
Naziha Kaabachi Tunisia
Irving L.M.H. Aye United States
Yvonne Lamers Canada
Anna Grandone Italy
Grazia Cirillo Italy
R. Jean Hine United States
Hongfan Li China
Stella Aslibekyan United States
Cármen Garcés Spain
Eva Lattka relative to Sonja Zeilinger Germany Sonja Zeilinger's profile →
Citations per field
00.5×4.4×
Sonja Zeilinger · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eva Lattka, 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 Lattka Line = papers co-authored together Eva Lattka links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Tobacco Smoking Leads to Extensive Genome-Wide Changes in DNA Methylation
Hit paper breakdown →
2013544
2 2010153
3 2010138
4 2011119
5 201399
6 200895
7 200992
8 201077
9 200965
10 201255
11 201353
12 201251
13 200947
14 201146
15 201238
16 201127
17 201318
18 20090

About Eva Lattka

Eva Lattka is a scholar working on Nutrition and Dietetics, Molecular Biology, Biochemistry, Pediatrics, Perinatology and Child Health and Physiology, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (10 papers), Lipid metabolism and biosynthesis (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Birth, Development, and Health (2 papers), Epigenetics and DNA Methylation (1 paper), Nutrition, Genetics, and Disease (1 paper), Child Nutrition and Water Access (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Nutrition and Dietetics (699 citations), Biochemistry (186 citations), Pediatrics, Perinatology and Child Health (261 citations), Molecular Biology (614 citations) and Endocrinology, Diabetes and Metabolism (120 citations). Eva Lattka has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Berthold Koletzko, Thomas Illig, Joachim Heinrich, Sonja Zeilinger, Colin Steer, Norman Klopp, Jerzy Adamski, Christian Gieger, Stephan Weidinger and Brigitte Kühnel. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition, British Journal Of Nutrition, Current Opinion in Lipidology and Growth Hormone & IGF Research.

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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