Melanie Hageleit

588 total citations
10 papers, 482 citations indexed

About

Melanie Hageleit is a scholar working on Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Agronomy and Crop Science. According to data from OpenAlex, Melanie Hageleit has authored 10 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Animal Science and Zoology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Agronomy and Crop Science. Recurrent topics in Melanie Hageleit's work include Pharmacological Effects and Assays (4 papers), Hormonal and reproductive studies (3 papers) and Estrogen and related hormone effects (3 papers). Melanie Hageleit is often cited by papers focused on Pharmacological Effects and Assays (4 papers), Hormonal and reproductive studies (3 papers) and Estrogen and related hormone effects (3 papers). Melanie Hageleit collaborates with scholars based in Germany, France and Switzerland. Melanie Hageleit's co-authors include Michael W. Pfaffl, Ivan Georgiev, Edgar Ontsouka, J. W. Blum, Heinrich Meyer, Andreas Daxenberger, Karin Meyer, Wolf‐Dieter Kraetzl, Iris G. Lange and R. Claus and has published in prestigious journals such as Biotechnology Letters, Food Additives & Contaminants and Apmis.

In The Last Decade

Melanie Hageleit

10 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie Hageleit Germany 7 213 102 75 58 53 10 482
Władysław Kordan Poland 17 110 0.5× 156 1.5× 94 1.3× 131 2.3× 43 0.8× 90 859
J. Bulla Slovakia 17 145 0.7× 173 1.7× 49 0.7× 81 1.4× 61 1.2× 58 671
S. Sancho Spain 20 181 0.8× 155 1.5× 74 1.0× 199 3.4× 39 0.7× 47 1.1k
R. A. Roeder United States 10 118 0.6× 95 0.9× 53 0.7× 99 1.7× 79 1.5× 15 411
Hans Raj India 11 122 0.6× 112 1.1× 133 1.8× 125 2.2× 21 0.4× 46 658
Natascia Cocchia Italy 12 116 0.5× 76 0.7× 18 0.2× 101 1.7× 48 0.9× 45 567
Leonardo E. Bussmann Argentina 15 162 0.8× 139 1.4× 109 1.5× 140 2.4× 16 0.3× 30 611
Ya Liu China 19 514 2.4× 238 2.3× 54 0.7× 94 1.6× 30 0.6× 69 1.0k
Iqbal Hyder India 14 159 0.7× 92 0.9× 21 0.3× 169 2.9× 159 3.0× 28 502
Koji Ashizawa Japan 20 222 1.0× 314 3.1× 22 0.3× 142 2.4× 214 4.0× 92 1.3k

Countries citing papers authored by Melanie Hageleit

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Hageleit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Hageleit

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

All Works

10 of 10 papers shown
1.
Lange, Iris G., Andreas Daxenberger, Melanie Hageleit, Michael W. Pfaffl, & Heinrich Meyer. (2003). Non-invasive Screening for Treatment of Heifers with the Anabolic Steroid Melengestrol Acetate (MGA) by Feces Analysis. Journal of Immunoassay and Immunochemistry. 24(3). 265–272. 3 indexed citations
2.
Pfaffl, Michael W., Andreas Daxenberger, Melanie Hageleit, & Heinrich Meyer. (2002). Effects of Synthetic Progestagens on the mRNA Expression of Androgen Receptor, Progesterone Receptor, Oestrogen Receptor α and β, Insulin‐like Growth Factor‐1 (IGF‐1) and IGF‐1 Receptor in Heifer Tissues. Journal of Veterinary Medicine Series A. 49(2). 57–64. 23 indexed citations
3.
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Daxenberger, Andreas, Melanie Hageleit, Wolf‐Dieter Kraetzl, et al.. (2001). Suppression of androstenone in entire male pigs by anabolic preparations. Livestock Production Science. 69(2). 139–144. 8 indexed citations
5.
Hageleit, Melanie, Andreas Daxenberger, & Heinrich Meyer. (2001). A sensitive enzyme immunoassay (EIA) for the determination of melengestrol acetate (MGA) in adipose and muscle tissues. Food Additives & Contaminants. 18(4). 285–291. 15 indexed citations
6.
Pfaffl, Michael W. & Melanie Hageleit. (2001). Validities of mRNA quantification using recombinant RNA and recombinant DNA external calibration curves in real-time RT-PCR. Biotechnology Letters. 23(4). 275–282. 237 indexed citations
7.
Hageleit, Melanie, Andreas Daxenberger, & Heinrich H.D. Meyer. (2001). A sensitive enzyme immunoassay (EIA) for the determination of melengestrol acetate (MGA) in adipose and muscle tissues. Food Additives & Contaminants. 18(4). 285–291. 2 indexed citations
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Daxenberger, Andreas, Karin Meyer, Melanie Hageleit, & Heinrich Meyer. (1999). Detection of melengestrol acetate residues in plasma and edible tissues of heifers. Veterinary Quarterly. 21(4). 154–158. 16 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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