Sam Clark

3.4k total citations
79 papers, 2.5k citations indexed

About

Sam Clark is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Sam Clark has authored 79 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 19 papers in Animal Science and Zoology and 13 papers in Plant Science. Recurrent topics in Sam Clark's work include Genetic and phenotypic traits in livestock (51 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Effects of Environmental Stressors on Livestock (14 papers). Sam Clark is often cited by papers focused on Genetic and phenotypic traits in livestock (51 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Effects of Environmental Stressors on Livestock (14 papers). Sam Clark collaborates with scholars based in Australia, United States and United Kingdom. Sam Clark's co-authors include J. H. J. van der Werf, John M. Hickey, Walter E. Stumpf, Madhabananda Sar, Hector F. DeLuca, Hans D. Daetwyler, Cedric Gondro, Hawlader Abdullah Al-Mamun, William L. Chick and Paul Kwan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sam Clark

72 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Clark Australia	28	1.5k	555	449	447	426	79	2.5k
Abdolhossein Shahverdi Iran	31	455 0.3×	113 0.2×	963 2.1×	242 0.5×	289 0.7×	192	3.5k
Nina Atanassova Bulgaria	28	1.4k 0.9×	152 0.3×	1.2k 2.6×	97 0.2×	305 0.7×	62	3.5k
C. Hansen United States	23	651 0.4×	189 0.3×	193 0.4×	77 0.2×	55 0.1×	50	1.8k
Martin Bergmann Germany	30	501 0.3×	84 0.2×	1.2k 2.6×	124 0.3×	322 0.8×	74	2.7k
James T. Murai United States	20	620 0.4×	131 0.2×	449 1.0×	103 0.2×	80 0.2×	40	2.2k
Katja J. Teerds Netherlands	36	689 0.5×	50 0.1×	1.2k 2.7×	77 0.2×	431 1.0×	106	3.5k
Lena Sahlin Sweden	31	1.0k 0.7×	127 0.2×	555 1.2×	35 0.1×	101 0.2×	112	3.5k
A. Tsafriri Israel	44	932 0.6×	87 0.2×	1.2k 2.7×	122 0.3×	152 0.4×	86	5.5k
José E. Cavaco Portugal	29	653 0.4×	88 0.2×	637 1.4×	105 0.2×	163 0.4×	57	2.8k
Dan Nonneman United States	27	952 0.6×	49 0.1×	726 1.6×	150 0.3×	95 0.2×	97	2.0k

Countries citing papers authored by Sam Clark

Since Specialization

Citations

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

Fields of papers citing papers by Sam Clark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Clark

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hine, Brad C., Pâmela A. Alexandre, Sam Clark, et al.. (2025). Faecal microbial profiles of Angus beef cattle with divergent immune responses. Livestock Science. 297. 105719–105719. 1 indexed citations

Werf, J. H. J. van der, et al.. (2025). The genetic relationship between immune competence traits and micro-genetic environmental sensitivity of weight, fat, and muscle traits in Australian Angus cattle. Genetics Selection Evolution. 57(1). 47–47.

Aliloo, Hassan, et al.. (2025). Effect of using preselected markers from imputed whole-genome sequence for genomic prediction in Angus cattle. Genetics Selection Evolution. 57(1). 52–52.

Arbour, Jessica H., et al.. (2024). Adaptation and innovation in darter fish cranial musculature (Etheostomatinae: Percidae): insights from diceCT. Zoological Journal of the Linnean Society. 202(3). 1 indexed citations

Aliloo, Hassan, et al.. (2024). Short communication: Accuracy of whole-genome sequence imputation in Angus cattle using within-breed and multi breed reference populations. animal. 18(3). 101087–101087. 6 indexed citations

Aliloo, Hassan, et al.. (2023). Predicting phenotypes of beef eating quality traits. Frontiers in Genetics. 14. 1089490–1089490. 2 indexed citations

Clark, Sam, et al.. (2023). Increased Yearling Weight Gain Is Associated with a Distinct Faecal Microbial Profile. Animals. 13(19). 3062–3062. 8 indexed citations

Werf, J. H. J. van der, et al.. (2018). Comparison of Two Live-Animal Ultrasound Systems to Predict Carcase Intramuscular Fat and Marbling in Australian Angus Cattle.. RUNE (Research UNE). 262. 1 indexed citations

Gowane, G. R., et al.. (2018). Optimising bias and accuracy in genomic prediction of breeding values. RUNE (Research UNE). 117. 1 indexed citations

10.

Moghaddar, Nasir, Iona M. MacLeod, Naomi Duijvesteijn, et al.. (2018). Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populations. RUNE (Research UNE). 456. 4 indexed citations

11.

Al-Mamun, Hawlader Abdullah, Paul Kwan, Sam Clark, et al.. (2015). Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight. Genetics Selection Evolution. 47(1). 66–66. 125 indexed citations

12.

Clark, Sam, et al.. (2013). SwatCS: Combining simple classifiers with estimated accuracy. Works - Scholarship, Research, & Creative Expression (Swarthmore College). 425–429. 19 indexed citations

13.

Clark, Sam, Brian Kinghorn, John M. Hickey, & J. H. J. van der Werf. (2013). The effect of genomic information on optimal contribution selection in livestock breeding programs. Genetics Selection Evolution. 45(1). 44–44. 62 indexed citations

14.

Clark, Sam & J. H. J. van der Werf. (2013). Genomic Best Linear Unbiased Prediction (gBLUP) for the Estimation of Genomic Breeding Values. Methods in molecular biology. 1019. 321–330. 81 indexed citations

15.

Clark, Sam, John M. Hickey, & J. H. J. van der Werf. (2011). Different models of genetic variation and their effect on genomic evaluation. Genetics Selection Evolution. 43(1). 18–18. 163 indexed citations

16.

Clark, Sam, John W. Hickey, & J. H. J. van der Werf. (2010). nHow would different models of genetic variation affect genomic selection. Proceedings of the World Congress on Genetics Applied to Livestock Production. 944. 1 indexed citations

17.

Newgard, Christopher B., Sam Clark, Hector BeltrandelRio, et al.. (1997). Engineered cell lines for insulin replacement in diabetes: current status and future prospects. Diabetologia. 40(0). S42–S47. 51 indexed citations

18.

Clark, Sam, et al.. (1990). Modulation of Glucose-Induced Insulin Secretion from a Rat Clonal β-Cell Line*. Endocrinology. 127(6). 2779–2788. 67 indexed citations

19.

Clark, Sam, Agna Boass, & Svein U. Toverud. (1989). Adverse effects of a high-glucose diet on body weight and plasma calcium and 1,25-dihydroxyvitamin D3 levels in calcium-deficient growing rats. Bone and Mineral. 5(3). 291–302. 1 indexed citations

20.

Stumpf, Walter E., et al.. (1988). 1,25(OH)2 vitamin D3 sites of action in spinal cord and sensory ganglion. Anatomy and Embryology. 177(4). 307–310. 44 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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