C. Philipona

535 total citations
9 papers, 455 citations indexed

About

C. Philipona is a scholar working on Small Animals, Agronomy and Crop Science and Nutrition and Dietetics. According to data from OpenAlex, C. Philipona has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Small Animals, 4 papers in Agronomy and Crop Science and 3 papers in Nutrition and Dietetics. Recurrent topics in C. Philipona's work include Animal health and immunology (6 papers), Reproductive Physiology in Livestock (4 papers) and Infant Nutrition and Health (3 papers). C. Philipona is often cited by papers focused on Animal health and immunology (6 papers), Reproductive Physiology in Livestock (4 papers) and Infant Nutrition and Health (3 papers). C. Philipona collaborates with scholars based in Switzerland, Slovakia and Morocco. C. Philipona's co-authors include H.M. Hammon, Chloé Morel, J. W. Blum, Y. Zbinden, M. Reist, J.W. Blum, D. von Euw, N. Kuenzi, D. Erdin and Hans Leuenberger and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Neonatology.

In The Last Decade

C. Philipona

9 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Philipona Switzerland 9 278 205 129 113 90 9 455
U. Schönhusen Germany 11 364 1.3× 125 0.6× 222 1.7× 114 1.0× 102 1.1× 36 599
C.T. Schäff Germany 13 275 1.0× 112 0.5× 151 1.2× 73 0.6× 119 1.3× 21 434
L. Livshitz Israel 9 432 1.6× 173 0.8× 109 0.8× 138 1.2× 168 1.9× 15 597
Y. Zbinden Switzerland 12 531 1.9× 314 1.5× 229 1.8× 123 1.1× 170 1.9× 17 765
D.W. LaCount United States 12 559 2.0× 218 1.1× 68 0.5× 134 1.2× 128 1.4× 13 673
P. Holtenius Sweden 13 502 1.8× 240 1.2× 166 1.3× 51 0.5× 126 1.4× 32 662
M. Van Amburgh United States 6 436 1.6× 296 1.4× 91 0.7× 107 0.9× 193 2.1× 8 667
Marianne Diaz United States 4 242 0.9× 93 0.5× 170 1.3× 35 0.3× 116 1.3× 4 350
B. Losand Germany 9 365 1.3× 229 1.1× 53 0.4× 73 0.6× 149 1.7× 18 477
T.L. Chandler United States 10 180 0.6× 82 0.4× 100 0.8× 40 0.4× 62 0.7× 22 330

Countries citing papers authored by C. Philipona

Since Specialization
Citations

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

Fields of papers citing papers by C. Philipona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Philipona

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

All Works

9 of 9 papers shown
1.
Philipona, C., et al.. (2005). Ontogeny of mRNA abundance of nuclear receptors and nuclear receptor target genes in young cattle. Domestic Animal Endocrinology. 31(1). 76–87. 20 indexed citations
2.
Hammon, H.M., C. Philipona, Y. Zbinden, J.W. Blum, & Shawn S. Donkin. (2005). Effects of Dexamethasone and Growth Hormone Treatment on Hepatic Gluconeogenic Enzymes in Calves. Journal of Dairy Science. 88(6). 2107–2116. 24 indexed citations
3.
Morel, Chloé, et al.. (2005). Effects of Feeding Vitamin A and Lactoferrin on Epithelium of Lymphoid Tissues of Intestine of Neonatal Calves. Journal of Dairy Science. 88(3). 1050–1061. 27 indexed citations
4.
Philipona, C., et al.. (2004). Preterm as Compared with Full-Term Neonatal Calves Are Characterized by Morphological and Functional Immaturity of the Small Intestine. Journal of Dairy Science. 87(6). 1786–1795. 32 indexed citations
5.
Ontsouka, Edgar, C. Philipona, H.M. Hammon, & J. W. Blum. (2004). Abundance of mRNA encoding for components of the somatotropic axis and insulin receptor in different layers of the jejunum and ileum of neonatal calves1,2. Journal of Animal Science. 82(11). 3181–3188. 21 indexed citations
6.
Hammon, H.M., S.N. Sauter, M. Reist, et al.. (2003). Dexamethasone and colostrum feeding affect hepatic gluconeogenic enzymes differently in neonatal calves1,2,3. Journal of Animal Science. 81(12). 3095–3106. 61 indexed citations
7.
Sauter, S.N., C. Philipona, Chloé Morel, et al.. (2003). Intestinal Development in Neonatal Calves: Effects of Glucocorticoids and Dependence on Colostrum Feeding<sup>1</sup>. Neonatology. 85(2). 94–104. 43 indexed citations
8.
Reist, M., D. Erdin, D. von Euw, et al.. (2002). Estimation of Energy Balance at the Individual and Herd Level Using Blood and Milk Traits in High-Yielding Dairy Cows,. Journal of Dairy Science. 85(12). 3314–3327. 206 indexed citations
9.
Morel, Chloé, et al.. (2002). Physiological traits in preterm calves during their first week of life. Journal of Animal Physiology and Animal Nutrition. 86(5-6). 185–198. 21 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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