Nana Bartke

1.6k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Nana Bartke is a scholar working on Nutrition and Dietetics, Molecular Biology and Food Science. According to data from OpenAlex, Nana Bartke has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nutrition and Dietetics, 10 papers in Molecular Biology and 5 papers in Food Science. Recurrent topics in Nana Bartke's work include Infant Nutrition and Health (11 papers), Fatty Acid Research and Health (9 papers) and Sphingolipid Metabolism and Signaling (5 papers). Nana Bartke is often cited by papers focused on Infant Nutrition and Health (11 papers), Fatty Acid Research and Health (9 papers) and Sphingolipid Metabolism and Signaling (5 papers). Nana Bartke collaborates with scholars based in Netherlands, United States and Germany. Nana Bartke's co-authors include Yusuf A. Hannun, Bernd Stahl, Hans‐Ulrich Humpf, Jan Knol, Eline M. van der Beek, Jean‐Luc Desseyn, Marie-Odile Husson, Frédèric Gottrand, Bill X. Wu and Ulrike Amann‐Gassner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Nana Bartke

22 papers receiving 1.3k citations

Hit Papers

Bioactive sphingolipids: metabolism and function 2008 2026 2014 2020 2008 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
Nana Bartke Netherlands 15 713 400 204 146 136 22 1.3k
Benjamin Jenkins United Kingdom 20 597 0.8× 167 0.4× 346 1.7× 285 2.0× 106 0.8× 39 1.4k
M. Pilar Lostao Spain 24 878 1.2× 304 0.8× 267 1.3× 151 1.0× 46 0.3× 69 2.0k
Michael Leichsenring Germany 23 506 0.7× 394 1.0× 191 0.9× 107 0.7× 56 0.4× 49 1.4k
Pauline Le Faouder France 17 557 0.8× 250 0.6× 230 1.1× 169 1.2× 43 0.3× 33 1.2k
Tony E. Haynes United States 11 491 0.7× 213 0.5× 674 3.3× 84 0.6× 178 1.3× 11 1.6k
Christiane Malo Canada 23 481 0.7× 522 1.3× 166 0.8× 44 0.3× 109 0.8× 50 1.5k
John P. Kennelly United States 12 658 0.9× 96 0.2× 247 1.2× 320 2.2× 116 0.9× 24 1.4k
James A. West United Kingdom 18 801 1.1× 138 0.3× 653 3.2× 151 1.0× 194 1.4× 47 1.8k
Véronique Carrière France 21 651 0.9× 138 0.3× 223 1.1× 132 0.9× 94 0.7× 51 1.4k
Philip J. de Groot Netherlands 15 996 1.4× 197 0.5× 402 2.0× 229 1.6× 51 0.4× 16 1.6k

Countries citing papers authored by Nana Bartke

Since Specialization
Citations

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

Fields of papers citing papers by Nana Bartke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Bartke

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

All Works

20 of 20 papers shown
1.
Zuffa, Simone, Christophe Lay, Alicia Rodríguez, et al.. (2025). Milk phospholipid-coated lipid droplets modulate the infant gut microbiota and metabolome influencing weight gain. Microbiome. 13(1). 120–120. 1 indexed citations
3.
Yang, Xue, Junai Gan, Ingrid B. Renes, et al.. (2024). In Vitro Lipid Digestion of Milk Formula with Different Lipid Droplets: A Study on the Gastric Digestion Emulsion Structure and Lipid Release Pattern. Journal of Agricultural and Food Chemistry. 72(44). 24736–24748. 2 indexed citations
6.
Schipper, Lidewij, Gertjan van Dijk, Laus M. Broersen, et al.. (2016). A Postnatal Diet Containing Phospholipids, Processed to Yield Large, Phospholipid-Coated Lipid Droplets, Affects Specific Cognitive Behaviors in Healthy Male Mice. Journal of Nutrition. 146(6). 1155–1161. 38 indexed citations
7.
Desseyn, Jean‐Luc, et al.. (2015). Pectin- Derived Acidic Oligosaccharides Improve the Outcome of Pseudomonas aeruginosa Lung Infection in C57BL/6 Mice. PLoS ONE. 10(11). e0139686–e0139686. 16 indexed citations
8.
Caron, Émilie, Jean‐Luc Desseyn, Nana Bartke, et al.. (2015). Impact of fish oils on the outcomes of a mouse model of acutePseudomonas aeruginosapulmonary infection. British Journal Of Nutrition. 113(2). 191–199. 18 indexed citations
9.
Desseyn, Jean‐Luc, Nana Bartke, Bernd Stahl, et al.. (2014). Dietary Pectin–Derived Acidic Oligosaccharides Improve the Pulmonary Bacterial Clearance ofPseudomonas aeruginosaLung Infection in Mice by Modulating Intestinal Microbiota and Immunity. The Journal of Infectious Diseases. 211(1). 156–165. 48 indexed citations
10.
Liu, Lei, Nana Bartke, Peter Lawrence, et al.. (2014). Higher efficacy of dietary DHA provided as a phospholipid than as a triglyceride for brain DHA accretion in neonatal piglets. Journal of Lipid Research. 55(3). 531–539. 88 indexed citations
11.
Bartke, Nana, et al.. (2013). Functional glycans and glycoconjugates in human milk. American Journal of Clinical Nutrition. 98(2). 578S–585S. 32 indexed citations
12.
Much, Daniela, Christiane Vollhardt, Daniela Schmid, et al.. (2013). Effect of dietary intervention to reduce the n-6/n-3 fatty acid ratio on maternal and fetal fatty acid profile and its relation to offspring growth and body composition at 1 year of age. European Journal of Clinical Nutrition. 67(3). 282–288. 61 indexed citations
13.
Much, Daniela, Stefanie Brunner, Christiane Vollhardt, et al.. (2013). Breast milk fatty acid profile in relation to infant growth and body composition: results from the INFAT study. Pediatric Research. 74(2). 230–237. 74 indexed citations
14.
Abrahamse, Evan, Mans Minekus, George A. van Aken, et al.. (2012). Development of the Digestive System—Experimental Challenges and Approaches of Infant Lipid Digestion. PubMed. 3(1-3). 63–77. 86 indexed citations
15.
Bartke, Nana, et al.. (2011). (n-3) Long-Chain PUFA Differentially Affect Resistance toPseudomonas aeruginosaInfection of Male and FemalecftrMice. Journal of Nutrition. 141(6). 1101–1107. 19 indexed citations
16.
Wu, Bill X., Christopher J. Clarke, Nabil Matmati, et al.. (2011). Identification of Novel Anionic Phospholipid Binding Domains in Neutral Sphingomyelinase 2 with Selective Binding Preference. Journal of Biological Chemistry. 286(25). 22362–22371. 33 indexed citations
17.
Bartke, Nana, et al.. (2011). Structural Profiling and Quantification of Sphingomyelin in Human Breast Milk by HPLC-MS/MS. Journal of Agricultural and Food Chemistry. 59(11). 6018–6024. 44 indexed citations
18.
Bartke, Nana & Yusuf A. Hannun. (2008). Bioactive sphingolipids: metabolism and function. Journal of Lipid Research. 50. S91–S96. 561 indexed citations breakdown →
20.
Bartke, Nana, et al.. (2005). New Applications of the CD Exciton Chirality Method. Stereochemical Assignment of Organic Compounds Containing Carboxylic Acid Groups. Monatshefte für Chemie - Chemical Monthly. 136(3). 397–410. 9 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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