Hannelore Daniel

15.3k total citations · 1 hit paper
232 papers, 11.9k citations indexed

About

Hannelore Daniel is a scholar working on Molecular Biology, Biochemistry and Oncology. According to data from OpenAlex, Hannelore Daniel has authored 232 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 59 papers in Biochemistry and 55 papers in Oncology. Recurrent topics in Hannelore Daniel's work include Amino Acid Enzymes and Metabolism (53 papers), Drug Transport and Resistance Mechanisms (51 papers) and Diet and metabolism studies (31 papers). Hannelore Daniel is often cited by papers focused on Amino Acid Enzymes and Metabolism (53 papers), Drug Transport and Resistance Mechanisms (51 papers) and Diet and metabolism studies (31 papers). Hannelore Daniel collaborates with scholars based in Germany, United Kingdom and Netherlands. Hannelore Daniel's co-authors include Gábor Kottra, Isabel Rubio‐Aliaga, Uwe Wenzel, Michael Boll, Dirk Haller, Frank Döring, Britta Spanier, Pieter Giesbertz, Tamara Zietek and Thomas Clavel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hannelore Daniel

227 papers receiving 11.7k citations

Hit Papers

High-fat diet alters gut ... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hannelore Daniel 5.6k 2.3k 2.2k 1.9k 1.8k 232 11.9k
Puttur D. Prasad 8.4k 1.5× 3.1k 1.3× 2.0k 0.9× 1.3k 0.7× 3.3k 1.8× 172 15.8k
Wulf Dröge 10.3k 1.8× 1.8k 0.7× 3.4k 1.5× 1.7k 0.9× 2.1k 1.2× 173 22.2k
Umberto Dianzani 5.9k 1.1× 2.0k 0.8× 1.4k 0.6× 1.2k 0.7× 966 0.5× 462 16.6k
Daniel Hwang 6.3k 1.1× 1.2k 0.5× 2.8k 1.3× 2.5k 1.4× 1.2k 0.6× 131 15.4k
Robert S. Chapkin 6.1k 1.1× 1.2k 0.5× 1.8k 0.8× 4.7k 2.5× 1.9k 1.1× 330 13.4k
Eugene P. Kennedy 9.0k 1.6× 2.5k 1.1× 1.5k 0.7× 1.1k 0.6× 3.9k 2.2× 236 16.9k
Gerhard Liebisch 9.9k 1.8× 1.8k 0.8× 2.5k 1.1× 1.2k 0.6× 1.6k 0.9× 302 16.3k
Colin Funk 6.8k 1.2× 1.0k 0.4× 3.2k 1.4× 1.7k 0.9× 3.5k 1.9× 183 17.6k
Junji Yodoi 11.9k 2.1× 1.1k 0.5× 2.1k 0.9× 1.4k 0.8× 2.0k 1.1× 271 19.2k
Akira Yoshida 5.4k 1.0× 1.1k 0.5× 2.0k 0.9× 929 0.5× 874 0.5× 507 12.6k

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
2.
Bauersachs, Stefan, Thomas B. Hildebrandt, Frank Goeritz, et al.. (2021). Amino acids activate mTORC1 to release roe deer embryos from decelerated proliferation during diapause. Proceedings of the National Academy of Sciences. 118(35). 19 indexed citations
3.
4.
Giesbertz, Pieter, et al.. (2018). Acylcarnitine Profiles in Plasma and Tissues of Hyperglycemic NZO Mice Correlate with Metabolite Changes of Human Diabetes. Journal of Diabetes Research. 2018. 1–9. 7 indexed citations
5.
Mack, Carina, Christoph H. Weinert, Björn Egert, et al.. (2018). The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study. American Journal of Clinical Nutrition. 108(3). 502–516. 13 indexed citations
6.
Fiamoncini, Jarlei, Andrianos M. Yiorkas, Kurt Gedrich, et al.. (2017). Determinants of postprandial plasma bile acid kinetics in human volunteers. American Journal of Physiology-Gastrointestinal and Liver Physiology. 313(4). G300–G312. 42 indexed citations
8.
Daniel, Hannelore & Tamara Zietek. (2015). Taste and move: glucose and peptide transporters in the gastrointestinal tract. Experimental Physiology. 100(12). 1441–1450. 58 indexed citations
9.
Daniel, Hannelore, Amin Moghaddas Gholami, David Berry, et al.. (2013). High-fat diet alters gut microbiota physiology in mice. The ISME Journal. 8(2). 295–308. 542 indexed citations breakdown →
10.
Rubio‐Aliaga, Isabel, et al.. (2011). Amino acid absorption and homeostasis in mice lacking the intestinal peptide transporter PEPT1. American Journal of Physiology-Gastrointestinal and Liver Physiology. 301(1). G128–G137. 59 indexed citations
12.
Frank, Helga, Julia Gräf, Ulrike Amann‐Gassner, et al.. (2009). Effect of short-term high-protein compared with normal-protein diets on renal hemodynamics and associated variables in healthy young men. American Journal of Clinical Nutrition. 90(6). 1509–1516. 51 indexed citations
13.
Fuchs, Dagmar, Katerina Vafeiadou, Wendy L. Hall, et al.. (2007). Proteomic biomarkers of peripheral blood mononuclear cells obtained from postmenopausal women undergoing an intervention with soy isoflavones. American Journal of Clinical Nutrition. 86(5). 1369–1375. 41 indexed citations
14.
Juan, M. Emília, Uwe Wenzel, Valentina Ruíz-Gutiérrez, Hannelore Daniel, & Joana M. Planas. (2006). Olive Fruit Extracts Inhibit Proliferation and Induce Apoptosis in HT-29 Human Colon Cancer Cells. Journal of Nutrition. 136(10). 2553–2557. 87 indexed citations
15.
Wenzel, Uwe, Alexander Nickel, & Hannelore Daniel. (2005). Melatonin potentiates flavone‐induced apoptosis in human colon cancer cells by increasing the level of glycolytic end products. International Journal of Cancer. 116(2). 236–242. 44 indexed citations
16.
Döring, Frank, et al.. (2005). Transcriptome and Proteome Analysis Identifies the Pathways That Increase Hepatic Lipid Accumulation in Zinc-Deficient Rats ,. Journal of Nutrition. 135(2). 199–205. 82 indexed citations
17.
Daniel, Hannelore. (2002). Genomics and proteomics: importance for the future of nutrition research. British Journal Of Nutrition. 87(6). 305–311. 44 indexed citations
18.
Stein, Jürgen M., et al.. (1994). Rapid Postabsorptive Metabolism of Nicotinic Acid in Rat Small Intestine May Affect Transport by Metabolic Trapping. Journal of Nutrition. 124(1). 61–66. 8 indexed citations
19.
Daniel, Hannelore & Gertrud Rehner. (1992). Sodium-Dependent Transport of Riboflavin in Brush Border Membrane Vesicles of Rat Small Intestine is an Electrogenic Process. Journal of Nutrition. 122(7). 1454–1461. 11 indexed citations
20.
Daniel, Hannelore, et al.. (1991). In Vivo Kinetics of Intestinal Absorption of Riboflavin in Rats. Journal of Nutrition. 121(1). 72–79. 18 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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