Hannelore Daniel

7.3k total citations
91 papers, 4.0k citations indexed

About

Hannelore Daniel is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Hannelore Daniel has authored 91 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Oncology and 21 papers in Genetics. Recurrent topics in Hannelore Daniel's work include Drug Transport and Resistance Mechanisms (22 papers), Nutrition, Genetics, and Disease (19 papers) and Amino Acid Enzymes and Metabolism (18 papers). Hannelore Daniel is often cited by papers focused on Drug Transport and Resistance Mechanisms (22 papers), Nutrition, Genetics, and Disease (19 papers) and Amino Acid Enzymes and Metabolism (18 papers). Hannelore Daniel collaborates with scholars based in Germany, Netherlands and United Kingdom. Hannelore Daniel's co-authors include Uwe Wenzel, Sabine Kuntz, Siamak A. Adibi, Martina Herget, Mathias D. Brendel, Wolfgang Clauß, Emile L. Morse, Kerstin E. Geillinger, Frank Döring and Bernard Thorens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Hannelore Daniel

89 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannelore Daniel Germany 33 1.4k 1.1k 616 537 425 91 4.0k
Matthias Brandsch Germany 36 1.6k 1.1× 1.6k 1.5× 821 1.3× 520 1.0× 240 0.6× 73 4.0k
Ramiro Jover Spain 43 1.9k 1.3× 1.2k 1.2× 363 0.6× 513 1.0× 131 0.3× 116 5.4k
Ismael J. Hidalgo United States 29 1.8k 1.2× 2.3k 2.1× 334 0.5× 307 0.6× 481 1.1× 70 5.6k
Dominique Delmas France 44 3.0k 2.1× 708 0.7× 197 0.3× 544 1.0× 365 0.9× 104 6.3k
D. M. Matthews United Kingdom 41 1.4k 1.0× 655 0.6× 463 0.8× 638 1.2× 746 1.8× 126 4.7k
Miguel A. Lasunción Spain 42 2.1k 1.5× 286 0.3× 363 0.6× 696 1.3× 698 1.6× 164 6.0k
Pallu Reddanna India 40 2.4k 1.7× 398 0.4× 421 0.7× 342 0.6× 423 1.0× 190 5.9k
Young‐Nam Cha South Korea 38 2.5k 1.8× 409 0.4× 411 0.7× 454 0.8× 293 0.7× 100 4.6k
Blair U. Bradford United States 46 2.4k 1.7× 387 0.4× 1.1k 1.8× 706 1.3× 660 1.6× 101 7.8k
Pablo Muriel Mexico 42 1.4k 1.0× 463 0.4× 212 0.3× 511 1.0× 424 1.0× 137 5.8k

Countries citing papers authored by Hannelore Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Hannelore Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannelore Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Hannelore Daniel. A scholar is included among the top collaborators of Hannelore Daniel 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 Hannelore Daniel. Hannelore Daniel 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.
Linseisen, Jakob, Britta Renner, Kurt Gedrich, et al.. (2025). Data in Personalized Nutrition: Bridging Biomedical, Psycho-behavioral, and Food Environment Approaches for Population-wide Impact. Advances in Nutrition. 16(7). 100377–100377. 5 indexed citations
2.
Raffler, Johannes, Werner Römisch‐Margl, Matthias Arnold, et al.. (2024). The HuMet Repository: Watching human metabolism at work. Cell Reports. 43(8). 114416–114416. 1 indexed citations
3.
Holzapfel, Christina, et al.. (2022). Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences. Molecular Nutrition & Food Research. 66(17). e2200077–e2200077. 18 indexed citations
4.
5.
Hillesheim, Elaine, Nina Wawro, Christa Meisinger, et al.. (2020). Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study. Molecular Nutrition & Food Research. 64(8). e1900918–e1900918. 10 indexed citations
6.
Fromme, Tobias, Stefanie Maurer, Yongguo Li, et al.. (2019). Bile acid supplementation decreases body mass gain in C57BL/6J but not 129S6/SvEvTac mice without increasing energy expenditure. Scientific Reports. 9(1). 131–131. 21 indexed citations
7.
8.
Sailer, Manuela, Kristoffer Toldnes Cumming, Per Bendix Jeppesen, et al.. (2016). Intake of Protein Plus Carbohydrate during the First Two Hours after Exhaustive Cycling Improves Performance the following Day. PLoS ONE. 11(4). e0153229–e0153229. 48 indexed citations
9.
San-Cristóbal, Rodrigo, Santiago Navas‐Carretero, Carlos Celis‐Morales, et al.. (2015). Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort. Nutrients. 7(11). 9523–9537. 20 indexed citations
10.
Geillinger, Kerstin E., et al.. (2014). Hepatic metabolite profiles in mice with a suboptimal selenium status. The Journal of Nutritional Biochemistry. 25(9). 914–922. 20 indexed citations
11.
Ommen, Ben van, J. van der Greef, José M. Ordovás, & Hannelore Daniel. (2014). Phenotypic flexibility as key factor in the human nutrition and health relationship. Genes & Nutrition. 9(5). 423–423. 87 indexed citations
12.
Sailer, Manuela, Björn Hummel, Jarlei Fiamoncini, et al.. (2014). Methyl-donor supplementation in obese mice prevents the progression of NAFLD, activates AMPK and decreases acyl-carnitine levels. Molecular Metabolism. 3(5). 565–580. 90 indexed citations
13.
Desmarchelier, Charles, Manuela Sailer, Susanne E. Ulbrich, et al.. (2013). Correction: Hepatic Methionine Homeostasis Is Conserved in C57BL/6N Mice on High-Fat Diet Despite Major Changes in Hepatic One-Carbon Metabolism. PLoS ONE. 8(10). 10 indexed citations
14.
Groebner, Anna E., Valeri Zakhartchenko, Stefan Bauersachs, et al.. (2011). Reduced Amino Acids in the Bovine Uterine Lumen of Cloned versus In Vitro Fertilized Pregnancies Prior to Implantation. Cellular Reprogramming. 13(5). 403–410. 21 indexed citations
15.
Rist, Manuela J., Uwe Wenzel, & Hannelore Daniel. (2006). Nutrition and food science go genomic. Trends in biotechnology. 24(4). 172–178. 28 indexed citations
16.
Döring, Frank, Roland Schmitt, Wanja M. Bernhardt, et al.. (2005). Hypothyroidism induces expression of the peptide transporter PEPT2. Biological Chemistry. 386(8). 785–790. 8 indexed citations
17.
Daniel, Hannelore. (2003). MAMMALIAN PEPTIDE TRANSPORTERS AS TARGETS FOR DRUG DELIVERY. 63. 8.
18.
Wenzel, Uwe, et al.. (2001). PEPT1-mediated uptake of dipeptides enhances the intestinal absorption of amino acids via transport system b0,+. Journal of Cellular Physiology. 186(2). 251–259. 35 indexed citations
19.
Döring, Frank, Justin D. Walter, Jutta Will, et al.. (1998). Delta-aminolevulinic acid transport by intestinal and renal peptide transporters and its physiological and clinical implications.. Journal of Clinical Investigation. 101(12). 2761–2767. 234 indexed citations
20.
Hahn, Andreas, Hannelore Daniel, & Gertrud Rehner. (1991). Transport of pteroylglutamic acid into brush border membrane vesicles from rat small intestine is a partially carrier-mediated process. Zeitschrift für Ernährungswissenschaft. 30(3). 201–213. 2 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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