H.M. Seyfert

461 total citations
8 papers, 366 citations indexed

About

H.M. Seyfert is a scholar working on Agronomy and Crop Science, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, H.M. Seyfert has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 3 papers in Nutrition and Dietetics and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in H.M. Seyfert's work include Reproductive Physiology in Livestock (6 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Fatty Acid Research and Health (3 papers). H.M. Seyfert is often cited by papers focused on Reproductive Physiology in Livestock (6 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Fatty Acid Research and Health (3 papers). H.M. Seyfert collaborates with scholars based in Germany, China and Slovakia. H.M. Seyfert's co-authors include H.M. Hammon, Falk Schneider, Zanming Shen, J. Voigt, S. Kuhla, B. Löhrke, H. Hagemeister, B. Losand, Kathrin Duske and Cornelia C. Metges and has published in prestigious journals such as Journal of Nutrition, Journal of Dairy Science and Fish & Shellfish Immunology.

In The Last Decade

H.M. Seyfert

8 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.M. Seyfert Germany 7 282 143 66 49 43 8 366
G. Raggio Canada 7 392 1.4× 230 1.6× 70 1.1× 63 1.3× 35 0.8× 7 483
K.K. Piotrowska-Tomala Poland 13 306 1.1× 97 0.7× 88 1.3× 37 0.8× 38 0.9× 34 450
C.O. Lynch Ireland 9 188 0.7× 191 1.3× 32 0.5× 63 1.3× 45 1.0× 13 346
J. Stamey Lanier United States 9 306 1.1× 97 0.7× 50 0.8× 91 1.9× 102 2.4× 13 440
Éloïse Delamaire France 9 271 1.0× 159 1.1× 50 0.8× 113 2.3× 44 1.0× 10 382
Virginia M. Artegoitia United States 9 218 0.8× 127 0.9× 82 1.2× 66 1.3× 16 0.4× 18 392
A. J. Davis United States 10 171 0.6× 111 0.8× 42 0.6× 62 1.3× 29 0.7× 21 331
L. Hetényi Slovakia 11 143 0.5× 133 0.9× 53 0.8× 81 1.7× 15 0.3× 20 359
A. Zidi Spain 11 163 0.6× 208 1.5× 67 1.0× 130 2.7× 34 0.8× 26 397
T Grala New Zealand 10 261 0.9× 240 1.7× 41 0.6× 82 1.7× 32 0.7× 25 385

Countries citing papers authored by H.M. Seyfert

Since Specialization
Citations

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

Fields of papers citing papers by H.M. Seyfert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.M. Seyfert. 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 H.M. Seyfert. The network helps show where H.M. Seyfert may publish in the future.

Co-authorship network of co-authors of H.M. Seyfert

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

All Works

8 of 8 papers shown
1.
Xu, Tianle, H.M. Seyfert, & Xiangzhen Shen. (2017). Epigenetic mechanisms contribute to decrease stearoyl-CoA desaturase 1 expression in the liver of dairy cows after prolonged feeding of high-concentrate diet. Journal of Dairy Science. 101(3). 2506–2518. 16 indexed citations
2.
Rebl, Alexander, Henrike Rebl, Tom Goldammer, & H.M. Seyfert. (2013). Cloning and characterization of the trout interleukin-8 promoter. Fish & Shellfish Immunology. 34(6). 1732–1732. 1 indexed citations
3.
Duske, Kathrin, U. Schönhusen, B. Losand, et al.. (2011). Glucose transporters and enzymes related to glucose synthesis in small intestinal mucosa of mid-lactation dairy cows fed 2 levels of starch. Journal of Dairy Science. 94(9). 4546–4555. 25 indexed citations
4.
Duske, Kathrin, Falk Schneider, K. Nürnberg, et al.. (2010). Milk performance and glucose metabolism in dairy cows fed rumen-protected fat during mid lactation. Journal of Dairy Science. 93(12). 5867–5876. 43 indexed citations
5.
Duske, Kathrin, H.M. Hammon, O. Bellmann, et al.. (2009). Metabolism and lactation performance in dairy cows fed a diet containing rumen-protected fat during the last twelve weeks of gestation. Journal of Dairy Science. 92(4). 1670–1684. 74 indexed citations
6.
Swanson, K.M., et al.. (2009). DNA methylation events associated with the suppression of milk protein gene expression during involution of the bovine mammary gland.. 69. 57–59. 7 indexed citations
7.
Shen, Zanming, S. Kuhla, R. Žitňan, et al.. (2005). Intraruminal infusion of n-butyric acid induces an increase of ruminal papillae size independent of IGF-1 system in castrated bulls. Archives of Animal Nutrition. 59(4). 213–225. 39 indexed citations
8.
Shen, Zanming, H.M. Seyfert, B. Löhrke, et al.. (2004). An Energy-Rich Diet Causes Rumen Papillae Proliferation Associated with More IGF Type 1 Receptors and Increased Plasma IGF-1 Concentrations in Young Goats. Journal of Nutrition. 134(1). 11–17. 161 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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