D. J. Williams

552 total citations
27 papers, 270 citations indexed

About

D. J. Williams is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, D. J. Williams has authored 27 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 8 papers in Genetics and 5 papers in Animal Science and Zoology. Recurrent topics in D. J. Williams's work include Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Listeria monocytogenes in Food Safety (4 papers). D. J. Williams is often cited by papers focused on Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Listeria monocytogenes in Food Safety (4 papers). D. J. Williams collaborates with scholars based in United States, Denmark and Australia. D. J. Williams's co-authors include Mary Alice Smith, Joseph F. Frank, Revis A. Chmielewski, W. E. Neville, Chi‐Ching Lee, P. R. Utley, A.B. Caudle, Arena N. Richardson, Lone Gram and J. A. Stuedemann and has published in prestigious journals such as Journal of Animal Science, Risk Analysis and Journal of Food Protection.

In The Last Decade

D. J. Williams

26 papers receiving 256 citations

Peers

D. J. Williams
Comparison fields: 5 of 71
  • Agronomy and Crop Science 94
  • Biotechnology 91
  • Food Science 84
  • Genetics 52
  • Animal Science and Zoology 31
Replace R. A. Batavani with:
R. A. Batavani Iran
M. Vasiľ Slovakia
S.F. Lima United States
M.S. Ferrer United States
M. L. Mocé Spain
R. M. Fry Italy
Auldist Mj Australia
R.D. Watters United States
Jean-Michel Wal France
A. M. Dulin United States
R. A. Batavani Iran View profile →
Citations per field, relative to D. J. Williams
D. J. Williams · 1×
Citations per year, relative to D. J. Williams
D. J. Williams · 1×

Countries citing papers authored by D. J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Williams. A scholar is included among the top collaborators of D. J. 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 D. J. Williams. D. J. Williams 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
# Work Indexed citations
1 3
2 7
3 23
4 19
5 8
6 11
7 41
8
Effects of stage of lactation, number of lactations and dry period on N-acetyl-β-D-glucosaminidase levels and somatic cell count in bovine milk
5
9
Suitability of a modification to the Aschaffenburg and Mullen alkaline phosphatase test for goats' milk: collaborative study.
6
10 1
11 1
12 5
13 15
14 15
15 9
16 44
17 2
18 9
19 1
20 3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026