S.C. Liefers

40 total papers · 1.3k total citations
24 papers, 911 citations indexed

About

S.C. Liefers is a scholar working on Physiology, Genetics and Surgery. According to data from OpenAlex, S.C. Liefers has authored 24 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 12 papers in Genetics and 8 papers in Surgery. Recurrent topics in S.C. Liefers's work include Salivary Gland Disorders and Functions (12 papers), Genetic and phenotypic traits in livestock (10 papers) and Regulation of Appetite and Obesity (8 papers). S.C. Liefers is often cited by papers focused on Salivary Gland Disorders and Functions (12 papers), Genetic and phenotypic traits in livestock (10 papers) and Regulation of Appetite and Obesity (8 papers). S.C. Liefers collaborates with scholars based in Netherlands, France and China. S.C. Liefers's co-authors include M.F.W. te Pas, T. van der Lende, R.F. Veerkamp, Yves Chilliard, Carole Delavaud, R.F. Veerkamp, Hendrika Bootsma, Arjan Vissink, Frans G. M. Kroese and Fred K. L. Spijkervet and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Journal of Dairy Science.

In The Last Decade

S.C. Liefers

22 papers receiving 850 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S.C. Liefers 425 280 253 186 158 24 911
Isabelle Gourdou 159 0.4× 169 0.6× 357 1.4× 52 0.3× 167 1.1× 19 820
Jianbo Hu 132 0.3× 224 0.8× 52 0.2× 93 0.5× 269 1.7× 32 1.1k
Ing-Cherng Guo 293 0.7× 95 0.3× 153 0.6× 64 0.3× 247 1.6× 20 799
Jorge Loredo‐Osti 177 0.4× 107 0.4× 78 0.3× 107 0.6× 246 1.6× 26 1.0k
Kylie H. Van der Hoek 75 0.2× 169 0.6× 250 1.0× 32 0.2× 190 1.2× 20 1.1k
Madia Charlier 183 0.4× 52 0.2× 91 0.4× 38 0.2× 219 1.4× 33 897
Pamela M. J. O’Connor 125 0.3× 298 1.1× 22 0.1× 128 0.7× 399 2.5× 25 1.2k
John H. Butler 247 0.6× 68 0.2× 49 0.2× 61 0.3× 382 2.4× 18 1.1k
Xinmin Yan 93 0.2× 227 0.8× 116 0.5× 20 0.1× 303 1.9× 42 919
G. Rettenberger 674 1.6× 85 0.3× 36 0.1× 221 1.2× 555 3.5× 33 1.1k

Countries citing papers authored by S.C. Liefers

Since Specialization
Citations

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

Fields of papers citing papers by S.C. Liefers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.C. Liefers

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

All Works

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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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