J. L. Williams

15.9k total citations · 1 hit paper
306 papers, 8.6k citations indexed

About

J. L. Williams is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, J. L. Williams has authored 306 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Genetics, 99 papers in Molecular Biology and 46 papers in Plant Science. Recurrent topics in J. L. Williams's work include Genetic and phenotypic traits in livestock (104 papers), Genetic Mapping and Diversity in Plants and Animals (73 papers) and Animal Genetics and Reproduction (26 papers). J. L. Williams is often cited by papers focused on Genetic and phenotypic traits in livestock (104 papers), Genetic Mapping and Diversity in Plants and Animals (73 papers) and Animal Genetics and Reproduction (26 papers). J. L. Williams collaborates with scholars based in United Kingdom, Italy and United States. J. L. Williams's co-authors include Pamela Wiener, Paolo Ajmone‐Marsan, John Woolliams, Chris Haley, Peter M. Visscher, Daniel L. Smith, L. O. Lutherer, Beatriz Gutiérrez‐Gil, S. S. Moore and Elizabeth Glass and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

J. L. Williams

294 papers receiving 8.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

De novo assembly of haplotype-resolved genomes with trio binning

2018 281 citations Derek M. Bickhart, Sarah B. Kingan et al. profile →

Peers

Countries citing papers authored by J. L. Williams

Since Specialization

Citations

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

Fields of papers citing papers by J. L. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. L. Williams. 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 J. L. Williams. The network helps show where J. L. Williams may publish in the future.

Co-authorship network of co-authors of J. L. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Williams. A scholar is included among the top collaborators of J. L. Williams 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 J. L. Williams. J. L. Williams 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

#	Work	Indexed citations
1	Modelling the physiological, muscular, and sensory characteristics in relation to beef quality from 15 cattle breeds 2024 ·Livestock Science ·(unknown), (unknown), Jérôme Saracco, M.M. Campo, R.I. Richardson, Per Ertbjerg, S. Failla, B. Panea, J. L. Williams, Mette Christensen, Jean-François J.-F. Hocquette	4
2	DNA methylation analysis to differentiate reference, breed, and parent-of-origin effects in the bovine pangenome era 2024 ·GigaScience ·(unknown), Tong Chen, Stefan Hiendleder, J. L. Williams, Hamid Alinejad‐Rokny, Wai Yee Low	6
3	Topologically associating domains in the POLLED region are the same for Angus‐ and Brahman‐specific Hi‐C reads from F1 hybrid fetal tissue 2023 ·Animal Genetics ·(unknown), Ning Liu, Rick Tearle, Wai Yee Low, James Breen, J. L. Williams, C. D. K. Bottema	1
4	Genetic Regulation of Biomarkers as Stress Proxies in Dairy Cows 2021 ·Genes ·Marco Milanesi, (unknown), Katia Cappelli, Andrea Minuti, Valentino Palombo, (unknown), Stefano Capomaccio, Mariasilvia D’Andrea, Erminio Trevisi, Bruno Stefanon, J. L. Williams, Paolo Ajmone‐Marsan	5
5	Colostrum source and passive immunity transfer in dairy bull calves 2021 ·Journal of Dairy Science ·(unknown), (unknown), Tong Chen, J. L. Williams, C. D. K. Bottema, Kiro Petrovski	16
6	Using Omics Approaches in the Discovery of Biomarkers for Early Diagnosis of Johne’s Disease in Sheep and Goats 2021 ·Animals ·Fiorentina Palazzo, Camillo Martino, (unknown), (unknown), J. L. Williams, Giulietta Minozzi	4
7	Understanding the effects of the bovine POLLED variants 2020 ·Animal Genetics ·(unknown), Tad S. Sonstegard, J. L. Williams, C. D. K. Bottema	22
8	A genetically unique Chinese cattle population shows evidence of common ancestry with wild species when analysed with a reduced ascertainment bias SNP panel 2020 ·PLoS ONE ·Mario Barbato, Michael P. Reichel, (unknown), Wai Yee Low, Licia Colli, Rick Tearle, J. L. Williams, Paolo Ajmone‐Marsan	13
9	Chromosome-level assembly of the water buffalo genome surpasses human and goat genomes in sequence contiguity 2019 ·Nature Communications ·Wai Yee Low, Rick Tearle, Derek M. Bickhart, Benjamin D. Rosen, Sarah B. Kingan, Thomas Swale, Françoise Thibaud‐Nissen, Terence D. Murphy, Rachel Young, Lucas Lefèvre, David Hume, Andrew Collins, Paolo Ajmone‐Marsan, Timothy P. L. Smith, J. L. Williams	98
10	Responses of Bovine Innate Immunity to Mycobacterium avium subsp. paratuberculosis Infection Revealed by Changes in Gene Expression and Levels of MicroRNA 2016 ·PLoS ONE ·(unknown), Fiorentina Palazzo, (unknown), Barbara Lazzari, J. L. Williams, G. Pagnacco, (unknown)	49
11	Transcriptome Analysis of the Medulla Tissue from Cattle in Response to Bovine Spongiform Encephalopathy using Digital Gene Expression Tag Profiling 2011 ·Journal of Toxicology and Environmental Health ·Urmila Basu, Luciane Madureira Almeida, N. Eric Olson, Yan Meng, J. L. Williams, S. S. Moore, Le Luo Guan	5
12	The effects of a mutation in the myostatin gene on meat and carcass quality 2009 ·Meat Science ·Pamela Wiener, John Woolliams, (unknown), Marion T. Ryan, R.I. Richardson, G.R. Nute, J.D. Wood, (unknown), J. L. Williams	60
13	A new mutation in the coding region of the bovine leptin gene associated with feed intake 2003 ·Animal Genetics ·(unknown), P. Wiener, Fabio Pilla, John Woolliams, J. L. Williams	115
14	Genetic variation within the Hereford breed of cattle 1998 ·Animal Genetics ·Sarah Blott, J. L. Williams, Chris Haley	22
15	Autoregulation of blood flow to choroid plexus of rabbits 1997 ·Brain Research ·(unknown), (unknown), J. L. Williams	4
16	Altered expression of class I major histocompatibility antigens on bovine cells infected with the protozoan parasite Theileria annulata 1996 ·Veterinary Immunology and Immunopathology ·Robert A. Oliver, J. L. Williams	3
17	Gene mapping in farm animals and birds: an overview. 1994 ·Proceedings of the World Congress on Genetics applied to Livestock Production ·Alan Archibald, David W. Burt, J. L. Williams	0
18	Selective bait system for potential abatement of feral Africanized honey bees. 1988 ·American bee journal ·J. L. Williams, Robert G. Danka, Thomas E. Rinderer	2
19	Nuclear and mitochondrial DNA-dependent RNA polymerases in bovine spermatozoa 1979 ·Reproduction ·Norman B. Hecht, J. L. Williams	8
20	PHÆOCHROMOCYTOMA OF THE URINARY BLADDER 1969 ·British Journal of Urology ·Brian H. Cummins, (unknown), J. L. Williams	9

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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