Anneke Jans

3.0k total citations
8 papers, 418 citations indexed

About

Anneke Jans is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Anneke Jans has authored 8 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Anneke Jans's work include Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers) and Lipid metabolism and biosynthesis (3 papers). Anneke Jans is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers) and Lipid metabolism and biosynthesis (3 papers). Anneke Jans collaborates with scholars based in Netherlands, Ireland and Sweden. Anneke Jans's co-authors include Wim A. Buurman, Sander S. Rensen, Jan Greve, Ann Driessen, Jeroen Nijhuis, Veerle Bieghs, Ernst Malle, Ellen E. Blaak, Helen M. Roche and Anneke M.J. van Hees and has published in prestigious journals such as American Journal of Clinical Nutrition, American Journal Of Pathology and Diabetologia.

In The Last Decade

Anneke Jans

8 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anneke Jans Netherlands 7 198 188 116 77 70 8 418
Pablo Solís‐Muñoz Spain 12 215 1.1× 111 0.6× 160 1.4× 39 0.5× 70 1.0× 22 451
Carrie A. Millward United States 9 125 0.6× 124 0.7× 203 1.8× 45 0.6× 58 0.8× 9 457
Fredy Z. Saudale Indonesia 3 274 1.4× 68 0.4× 141 1.2× 47 0.6× 68 1.0× 11 422
Caroline C. Duwaerts United States 13 231 1.2× 73 0.4× 78 0.7× 48 0.6× 90 1.3× 20 405
Urszula Osinska Warncke United States 9 311 1.6× 122 0.6× 143 1.2× 78 1.0× 143 2.0× 11 523
Georgi Kirovski Germany 11 268 1.4× 61 0.3× 198 1.7× 35 0.5× 96 1.4× 16 498
Isabel Veloso Alves Pereira Brazil 16 250 1.3× 84 0.4× 322 2.8× 42 0.5× 63 0.9× 34 601
Raja Gopal Reddy Mooli United States 9 158 0.8× 133 0.7× 84 0.7× 23 0.3× 47 0.7× 13 315
Fabrizio C. Lucchini Switzerland 7 164 0.8× 131 0.7× 75 0.6× 39 0.5× 48 0.7× 8 297
Manoela Mota United States 5 378 1.9× 90 0.5× 127 1.1× 84 1.1× 184 2.6× 7 509

Countries citing papers authored by Anneke Jans

Since Specialization
Citations

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

Fields of papers citing papers by Anneke Jans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anneke Jans

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

All Works

8 of 8 papers shown
1.
Goossens, Gijs H., Chantalle C.M. Moors, Johan W. E. Jocken, et al.. (2016). Altered Skeletal Muscle Fatty Acid Handling in Subjects with Impaired Glucose Tolerance as Compared to Impaired Fasting Glucose. Nutrients. 8(3). 164–164. 22 indexed citations
2.
Jans, Anneke, Ellen Konings, Gijs H. Goossens, et al.. (2012). PUFAs acutely affect triacylglycerol-derived skeletal muscle fatty acid uptake and increase postprandial insulin sensitivity. American Journal of Clinical Nutrition. 95(4). 825–836. 45 indexed citations
3.
Jans, Anneke, Anneke M.J. van Hees, Ingrid M.F. Gjelstad, et al.. (2012). Impact of dietary fat quantity and quality on skeletal muscle fatty acid metabolism in subjects with the metabolic syndrome. Metabolism. 61(11). 1554–1565. 19 indexed citations
4.
Hees, Anneke M.J. van, Anneke Jans, Gabby B. Hul, et al.. (2011). Skeletal Muscle Fatty Acid Handling in Insulin Resistant Men. Obesity. 19(7). 1350–1359. 56 indexed citations
5.
Jans, Anneke, Lauren M. Sparks, Anneke M.J. van Hees, et al.. (2011). Transcriptional Metabolic Inflexibility in Skeletal Muscle Among Individuals With Increasing Insulin Resistance. Obesity. 19(11). 2158–2166. 14 indexed citations
6.
Gjelstad, Ingrid M.F., Fred Haugen, Hanne Løvdal Gulseth, et al.. (2011). Expression of perilipins in human skeletal musclein vitroandin vivoin relation to diet, exercise and energy balance. Archives of Physiology and Biochemistry. 118(1). 22–30. 28 indexed citations
7.
Jans, Anneke, Anneke M.J. van Hees, Ingrid M.F. Gjelstad, et al.. (2010). Effect of different dietary fat quantity and quality on skeletal muscle fatty acid handling in subjects with the metabolic syndrome. Diabetologia. 53. 1 indexed citations
8.
Rensen, Sander S., Jeroen Nijhuis, Anneke Jans, et al.. (2009). Increased Hepatic Myeloperoxidase Activity in Obese Subjects with Nonalcoholic Steatohepatitis. American Journal Of Pathology. 175(4). 1473–1482. 233 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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