K.-H. Südekum

506 total citations
18 papers, 377 citations indexed

About

K.-H. Südekum is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, K.-H. Südekum has authored 18 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 10 papers in Genetics and 7 papers in Animal Science and Zoology. Recurrent topics in K.-H. Südekum's work include Genetic and phenotypic traits in livestock (9 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Reproductive Physiology in Livestock (5 papers). K.-H. Südekum is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Reproductive Physiology in Livestock (5 papers). K.-H. Südekum collaborates with scholars based in Germany, Switzerland and Indonesia. K.-H. Südekum's co-authors include Marcus Clauß, Anuraga Jayanegara, A. Susenbeth, G. Rave, A. Münger, H. Sauerwein, Michael Hoelker, Susanne Häußler, Jana Frahm and Sven Dänicke and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

K.-H. Südekum

17 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.-H. Südekum Germany	9	234	127	118	56	52	18	377
Rodrigo Silva Goulart Brazil	14	190 0.8×	103 0.8×	233 2.0×	23 0.4×	29 0.6×	37	389
P. B. Cronjé South Africa	10	206 0.9×	132 1.0×	109 0.9×	30 0.5×	37 0.7×	18	324
P.D. Siciliano United States	14	240 1.0×	55 0.4×	102 0.9×	47 0.8×	23 0.4×	45	549
S.J.J. Alferink Netherlands	10	249 1.1×	84 0.7×	120 1.0×	84 1.5×	47 0.9×	12	360
S. R. de Medeiros Brazil	13	191 0.8×	198 1.6×	163 1.4×	14 0.3×	51 1.0×	50	465
H. de Visser Netherlands	14	477 2.0×	185 1.5×	161 1.4×	34 0.6×	67 1.3×	28	631
S. P. Quigley Australia	13	311 1.3×	122 1.0×	112 0.9×	16 0.3×	43 0.8×	59	628
Laura Franco Prados Brazil	11	373 1.6×	172 1.4×	184 1.6×	31 0.6×	46 0.9×	53	480
Penny J. Back New Zealand	12	340 1.5×	259 2.0×	121 1.0×	55 1.0×	19 0.4×	47	457
A. V. Pires Brazil	11	278 1.2×	236 1.9×	210 1.8×	33 0.6×	27 0.5×	51	501

Countries citing papers authored by K.-H. Südekum

Since Specialization

Citations

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

Fields of papers citing papers by K.-H. Südekum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-H. Südekum. 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 K.-H. Südekum. The network helps show where K.-H. Südekum may publish in the future.

Co-authorship network of co-authors of K.-H. Südekum

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

All Works

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18 of 18 papers shown

Südekum, K.-H., et al.. (2023). The impact of automated, constant incomplete milking on energy balance, udder health, and subsequent performance in early lactation of dairy cows. Journal of Dairy Science. 107(1). 641–654. 2 indexed citations

Brügger, Daniel, W. Windisch, H. Schenkel, et al.. (2022). Review: Bioavailability of trace elements in farm animals: definition and practical considerations for improved assessment of efficacy and safety. animal. 16(8). 100598–100598. 17 indexed citations

Südekum, K.-H., Thorsten Bernsmann, Markus Spolders, et al.. (2022). Transfer of Non-Dioxin-Like Polychlorinated Biphenyls (ndl-PCBs) from Feed and Soil into Hen Eggs. Journal of Agricultural and Food Chemistry. 70(29). 8955–8962. 10 indexed citations

Wild, Katharina, W. Siegert, W. Windisch, K.-H. Südekum, & M. Rodehutscord. (2021). Meta-analysis-based estimates of efficiency of calcium utilisation by ruminants. animal. 15(8). 100315–100315. 6 indexed citations

Denissen, Jon F., et al.. (2021). Influence of the addition of water to total mixed rations on the feeding behaviour, feed intake and milk performance of high-yielding dairy cows. Livestock Science. 254. 104743–104743. 5 indexed citations

Münger, A., et al.. (2017). Evaluation and validation of an automatic jaw movement recorder (RumiWatch) for ingestive and rumination behaviors of dairy cows during grazing and supplementation. Journal of Dairy Science. 101(3). 2463–2475. 61 indexed citations

Hoelker, Michael, Jana Frahm, Sven Dänicke, et al.. (2016). Short communication: Telomere lengths in different tissues of dairy cows during early and late lactation. Journal of Dairy Science. 99(6). 4881–4885. 18 indexed citations

Dohme‐Meier, F., et al.. (2016). Impact of cow strain and concentrate supplementation on grazing behaviour, milk yield and metabolic state of dairy cows in an organic pasture-based feeding system. animal. 11(7). 1163–1173. 26 indexed citations

Südekum, K.-H., et al.. (2016). Using plant wax markers to estimate the diet composition of grazing Holstein dairy cows. Journal of Dairy Science. 100(2). 1019–1036. 7 indexed citations

10.

Hoelker, Michael, Jana Frahm, Sven Dänicke, et al.. (2015). Mitochondrial DNA copy number and biogenesis in different tissues of early- and late-lactating dairy cows. Journal of Dairy Science. 99(2). 1571–1583. 39 indexed citations

11.

Südekum, K.-H., et al.. (2014). Voluntary feed intake and digestibility of four domestic ruminant species as influenced by dietary constituents: A meta-analysis. Livestock Science. 162. 76–85. 85 indexed citations

12.

Flachowsky, G., J. Kamphues, M. Rodehutscord, et al.. (2014). Recommendations for energy and nutrient supply of horses..

13.

Cox, Christopher, et al.. (2013). Adaptation of electrolyte handling to low crude protein intake in growing goats and consequences for in vivo electrolyte excretion. Small Ruminant Research. 114(1). 90–96. 5 indexed citations

14.

Südekum, K.-H., et al.. (2012). Co-products from biofuel production for farm animals - an EU perspective.. 209–227. 1 indexed citations

15.

Südekum, K.-H., et al.. (2005). Relationship between fecal crude protein concentration and diet organic matter digestibility in cattle1. Journal of Animal Science. 83(6). 1332–1344. 74 indexed citations

16.

Susenbeth, A., et al.. (2004). Comparative nutritive value of cassava leaf meal, soya beans, fish meal and casein in diets for growing pigs. Journal of Animal Physiology and Animal Nutrition. 88(1-2). 30–38. 3 indexed citations

17.

Südekum, K.-H., et al.. (1998). Whole-crop cereal silages: composition and feeding value for ruminants. 26(2). 87–122. 2 indexed citations

18.

Südekum, K.-H., et al.. (1997). Effects of intake level of a mixed diet on chewing activity and on particle size of ruminated boli, ruminal digesta fractions and faeces of steers. annales de biologie animale biochimie biophysique. 37(5). 517–528. 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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