Angelika Harneit

732 total citations
20 papers, 625 citations indexed

About

Angelika Harneit is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Angelika Harneit has authored 20 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Angelika Harneit's work include Adipose Tissue and Metabolism (6 papers), Thyroid Disorders and Treatments (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Angelika Harneit is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Thyroid Disorders and Treatments (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Angelika Harneit collaborates with scholars based in Germany, United Kingdom and United States. Angelika Harneit's co-authors include Joachim M. Weitzel, Hans Seitz, H.J. Seitz, Ralf Fliegert, Andreas H. Guse, Wilhelm Krone, Maxim Kebenko, Christelle Moreau, Tanja Kirchberger and Barry V. L. Potter and has published in prestigious journals such as Nucleic Acids Research, Biochemical Journal and Endocrinology.

In The Last Decade

Angelika Harneit

20 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelika Harneit Germany 15 277 187 182 128 85 20 625
Alejandro González Spain 16 253 0.9× 188 1.0× 188 1.0× 135 1.1× 18 0.2× 34 783
Blanka Holendová Czechia 15 374 1.4× 176 0.9× 104 0.6× 58 0.5× 20 0.2× 29 676
Toan D. Nguyen United States 14 255 0.9× 56 0.3× 36 0.2× 33 0.3× 88 1.0× 23 596
Mirko Magnone Italy 19 330 1.2× 161 0.9× 47 0.3× 123 1.0× 560 6.6× 34 1.2k
Tae-Il Jeon United States 9 442 1.6× 85 0.5× 64 0.4× 157 1.2× 30 0.4× 9 993
Annarita Graziani Austria 11 318 1.1× 101 0.5× 25 0.1× 394 3.1× 25 0.3× 15 686
Seong‐Chun Kwon South Korea 16 351 1.3× 291 1.6× 38 0.2× 35 0.3× 13 0.2× 42 709
Leonard Best United Kingdom 20 586 2.1× 214 1.1× 348 1.9× 28 0.2× 62 0.7× 45 1.1k
Annick Tsocas France 12 164 0.6× 138 0.7× 84 0.5× 23 0.2× 16 0.2× 25 663
Clara C. Blad Netherlands 7 235 0.8× 88 0.5× 44 0.2× 17 0.1× 56 0.7× 8 391

Countries citing papers authored by Angelika Harneit

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Harneit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Harneit

This figure shows the co-authorship network connecting the top 25 collaborators of Angelika Harneit. A scholar is included among the top collaborators of Angelika Harneit 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 Angelika Harneit. Angelika Harneit 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.
Bauche, Andreas, et al.. (2018). NAD binding by human CD38 analyzed by Trp189 fluorescence. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(7). 1189–1196. 3 indexed citations
2.
Fliegert, Ralf, Andreas Bauche, Riekje Winzer, et al.. (2017). 2′-Deoxyadenosine 5′-diphosphoribose is an endogenous TRPM2 superagonist. Nature Chemical Biology. 13(9). 1036–1044. 62 indexed citations
3.
Fliegert, Ralf, Anja Schöbel, Christelle Moreau, et al.. (2017). Ligand-induced activation of human TRPM2 requires the terminal ribose of ADPR and involves Arg1433 and Tyr1349. Biochemical Journal. 474(13). 2159–2175. 30 indexed citations
4.
Moreau, Christelle, Tanja Kirchberger, Ralf Fliegert, et al.. (2013). Structure–Activity Relationship of Adenosine 5′-diphosphoribose at the Transient Receptor Potential Melastatin 2 (TRPM2) Channel: Rational Design of Antagonists. Journal of Medicinal Chemistry. 56(24). 10079–10102. 55 indexed citations
5.
Iwen, K. Alexander, et al.. (2010). Functional cooperation between CREM and GCNF directs gene expression in haploid male germ cells. Nucleic Acids Research. 38(7). 2268–2278. 24 indexed citations
6.
Kirchberger, Tanja, Christelle Moreau, Gerd K. Wagner, et al.. (2009). 8-Bromo-cyclic inosine diphosphoribose: towards a selective cyclic ADP-ribose agonist. Biochemical Journal. 422(1). 139–149. 20 indexed citations
7.
Kebenko, Maxim, et al.. (2008). The role of thyroid hormone receptor DNA binding in negative thyroid hormone-mediated gene transcription. Journal of Molecular Endocrinology. 41(1). 25–34. 12 indexed citations
8.
Harneit, Angelika, et al.. (2008). T3-mediated expression of PGC-1α via a far upstream located thyroid hormone response element. Molecular and Cellular Endocrinology. 287(1-2). 90–95. 80 indexed citations
9.
Harneit, Angelika, et al.. (2007). T3-mediated gene expression is independent of PGC-1α. Molecular and Cellular Endocrinology. 270(1-2). 57–63. 12 indexed citations
10.
Fliegert, Ralf, G. Glassmeier, Kerstin Cornils, et al.. (2006). Modulation of Ca2+ entry and plasma membrane potential by human TRPM4b. FEBS Journal. 274(3). 704–713. 29 indexed citations
11.
Weitzel, Joachim M., et al.. (2003). Hepatic gene expression patterns in thyroid hormone-treated hypothyroid rats. Journal of Molecular Endocrinology. 31(2). 291–303. 55 indexed citations
12.
Harneit, Angelika, et al.. (1995). 3,5-Di-iodo-l-thyronine suppresses TSH in rats in vivo and in rat pituitary fragments in vitro. Journal of Endocrinology. 145(2). 291–297. 27 indexed citations
13.
Höppner, Wolfgang, et al.. (1986). Cooperative effect of thyroid and glucocorticoid hormones on the induction of hepatic phosphoenolpyruvate carboxykinase in vivo and in cultured hepatocytes. European Journal of Biochemistry. 159(2). 399–405. 35 indexed citations
14.
Höppner, Wolfgang, et al.. (1984). Permissive action of thyroid hormones in the cAMP‐mediated induction of phosphoenol pyruvate carboxykinase in hepatocytes in culture. European Journal of Biochemistry. 143(3). 607–611. 13 indexed citations
15.
Müller, Manfred J., et al.. (1983). Thyroid Hormone Regulation of Glucose Homeostasis in the Miniature Pig*. Endocrinology. 112(6). 2025–2031. 27 indexed citations
16.
Seitz, Hans, et al.. (1981). Rapid rise in plasma glucagon induced by acute cold exposure in man and rat. Pflügers Archiv - European Journal of Physiology. 389(2). 115–120. 53 indexed citations
17.
M�ller, M., et al.. (1980). In vivo glucose turnover in hypo- and hyperthyroid starved rat. Pflügers Archiv - European Journal of Physiology. 386(1). 47–52. 24 indexed citations
18.
Seitz, Hans, et al.. (1980). Regulation of hepatic phosphoenolpyruvate carboxykinase (GTP) Role of dietary proteins and amino acids in vivo and in the isolated perfused rat liver. Biochimica et Biophysica Acta (BBA) - General Subjects. 632(4). 473–482. 8 indexed citations
19.
Krone, Wilhelm, et al.. (1976). Interaction between glucocorticoids and cyclic AMP in the regulation of phosphoenolpyruvate carboxykinase (GTP) in the isolated perfused rat liver Effects of cordycepin and cycloheximide. Biochimica et Biophysica Acta (BBA) - General Subjects. 451(1). 72–81. 17 indexed citations
20.

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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