H. Sakul

2.3k total citations
25 papers, 1.8k citations indexed

About

H. Sakul is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, H. Sakul has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 7 papers in Agronomy and Crop Science and 4 papers in Molecular Biology. Recurrent topics in H. Sakul's work include Genetic and phenotypic traits in livestock (11 papers), Genetic Associations and Epidemiology (7 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). H. Sakul is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Genetic Associations and Epidemiology (7 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). H. Sakul collaborates with scholars based in United States, Netherlands and Canada. H. Sakul's co-authors include Callum J. Bell, Margaret G. Ehm, Daniel K. Burns, Lon R. Cardon, Alan R. Shuldiner, Braxton D. Mitchell, Toni I. Pollin, Pamela L. St. Jean, W. J. Boylan and Éric Ravussin and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and American Journal of Clinical Nutrition.

In The Last Decade

H. Sakul

24 papers receiving 1.7k 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. Sakul United States 16 1.0k 480 395 381 250 25 1.8k
Daniel B. Mirel United States 22 633 0.6× 578 1.2× 185 0.5× 220 0.6× 154 0.6× 32 1.6k
Yukihiro Nagata Japan 29 256 0.2× 485 1.0× 177 0.4× 458 1.2× 179 0.7× 99 2.6k
W.C. Buhi United States 31 503 0.5× 546 1.1× 213 0.5× 100 0.3× 97 0.4× 76 2.7k
Kouhei Fukushima Japan 25 756 0.7× 508 1.1× 689 1.7× 155 0.4× 466 1.9× 111 2.3k
Marcin Ł. Pękalski United Kingdom 20 509 0.5× 464 1.0× 280 0.7× 126 0.3× 190 0.8× 30 1.9k
Leanna C. Read Australia 29 588 0.6× 719 1.5× 400 1.0× 233 0.6× 145 0.6× 68 2.3k
Tomomoto Ishikawa Japan 27 364 0.4× 533 1.1× 293 0.7× 110 0.3× 88 0.4× 131 2.4k
Judit Bassols Spain 25 250 0.2× 510 1.1× 144 0.4× 302 0.8× 280 1.1× 103 1.9k
Jared A. Drake United States 9 713 0.7× 391 0.8× 170 0.4× 138 0.4× 130 0.5× 9 1.4k
Linda Wu Australia 21 277 0.3× 538 1.1× 137 0.3× 164 0.4× 146 0.6× 46 1.9k

Countries citing papers authored by H. Sakul

Since Specialization
Citations

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

Fields of papers citing papers by H. Sakul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Sakul

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

All Works

20 of 20 papers shown
1.
Steinle, Nanette, Wen‐Chi Hsueh, Søren Snitker, et al.. (2002). Eating behavior in the Old Order Amish: heritability analysis and a genome-wide linkage analysis. American Journal of Clinical Nutrition. 75(6). 1098–1106. 93 indexed citations
2.
Hsueh, Wen‐Chi, Braxton D. Mitchell, Jennifer L. Schneider, et al.. (2001). Genome-Wide Scan of Obesity in the Old Order Amish1. The Journal of Clinical Endocrinology & Metabolism. 86(3). 1199–1205. 68 indexed citations
3.
Ehm, Margaret G., Maha Karnoub, H. Sakul, et al.. (2000). Genomewide Search for Type 2 Diabetes Susceptibility Genes in Four American Populations. The American Journal of Human Genetics. 66(6). 1871–1881. 155 indexed citations
4.
Das, Manjula, et al.. (2000). A set of canine interrepeat sequence PCR markers for high-throughput genotyping. Physiological Genomics. 4(1). 13–24. 4 indexed citations
5.
Lee, Joseph H., Danielle R. Reed, Weidong Li, et al.. (1999). Genome Scan for Human Obesity and Linkage to Markers in 20q13. The American Journal of Human Genetics. 64(1). 196–209. 182 indexed citations
6.
Hampe, Jochen, Stefan Schreiber, Sarah H. Shaw, et al.. (1999). A Genomewide Analysis Provides Evidence for Novel Linkages in Inflammatory Bowel Disease in a Large European Cohort. The American Journal of Human Genetics. 64(3). 808–816. 298 indexed citations
7.
Sakul, H., W. J. Boylan, & J.N.B. Shrestha. (1999). Animal model evaluation of dairy traits in US sheep breeds, their crosses and three synthetic populations. Small Ruminant Research. 34(1). 1–9. 10 indexed citations
8.
Curran, Michael A., Kin-tak Lau, Jochen Hampe, et al.. (1998). Genetic analysis of inflammatory bowel disease in a large European cohort supports linkage to chromosomes 12 and 16. Gastroenterology. 115(5). 1066–1071. 148 indexed citations
9.
Norman, Rachel, P. Antonio Tataranni, Richard E. Pratley, et al.. (1998). Autosomal Genomic Scan for Loci Linked to Obesity and Energy Metabolism in Pima Indians. The American Journal of Human Genetics. 62(3). 659–668. 146 indexed citations
10.
Pratley, Richard E., D B Thompson, Michal Procházka, et al.. (1998). An autosomal genomic scan for loci linked to prediabetic phenotypes in Pima Indians.. Journal of Clinical Investigation. 101(8). 1757–1764. 185 indexed citations
11.
Pandey, V. S., et al.. (1997). Genetic resistance of different genotypes of sheep to natural infections with gastro-intestinal nematodes. Animal Science. 64(1). 97–104. 16 indexed citations
12.
Bradford, G. E., et al.. (1997). Comparison of Sumatra sheep and three hair sheep crossbreds. I. Growth, mortality and wool cover of F1 lambs. Small Ruminant Research. 25(1). 1–7. 18 indexed citations
13.
Sakul, H., Richard E. Pratley, Lon R. Cardon, et al.. (1997). Familiality of physical and metabolic characteristics that predict the development of non-insulin-dependent diabetes mellitus in Pima Indians.. PubMed. 60(3). 651–6. 83 indexed citations
14.
Sakul, H., et al.. (1997). Heritability of entropion in several US sheep breeds. Small Ruminant Research. 23(2-3). 187–190. 5 indexed citations
15.
Sakul, H., et al.. (1996). Evaluation of techniques for correction of entropion in lambs. Small Ruminant Research. 20(2). 187–191. 3 indexed citations
16.
Sakul, H., et al.. (1993). Cryopreservation of embryos as a means of germ plasm conservation in sheep. Theriogenology. 39(2). 401–409. 13 indexed citations
17.
Sakul, H., et al.. (1993). Evaluation of Australian merino and U.S. sheep breeds for growth and carcass traits1. Journal of Animal Science. 71(2). 363–368. 4 indexed citations
18.
Sakul, H. & W. J. Boylan. (1992). Lactation curves for several US sheep breeds. Animal Science. 54(2). 229–233. 38 indexed citations
19.
Sakul, H. & W. J. Boylan. (1990). Evaluation of North American sheep breeds for several milk traits.. 1 indexed citations
20.
Boylan, W. J. & H. Sakul. (1988). Milk production in Finnsheep and Romanov breeds. Agricultural and Food Science. 60(6). 603–607. 3 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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