J. T. Williams

1.1k citations
26 papers · 828 indexed · h-index 15
Topics
Genetic Associations and Epidemiology (5 papers)Genetic and phenotypic traits in livestock (4 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)

In The Last Decade

J. T. Williams

24 papers receiving 774 citations

Peers

J. T. Williams
Comparison fields: 5 of 122
  • Genetics 292
  • Surgery 130
  • Oncology 118
  • Molecular Biology 95
  • Internal Medicine 91
Replace Michael E. Cunningham with:
Michael E. Cunningham United States
E. Bottini Italy
Niall Stewart Australia
Michael Coslovsky Switzerland
Edward I. Goldsmith United States
Thomas C. Burton United States
James Anderson United Kingdom
Catherine Bourgain France
Enrique Moreno Spain
Jack A. Goldman Israel
J. T. Williams relative to Michael E. Cunningham United States Michael E. Cunningham's profile →
Citations per field
00.5×4.5×
Michael E. Cunningham · 1×
Citations per year

Countries citing papers authored by J. T. Williams

Since Specialization
Citations

This map shows the geographic impact of J. T. 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. T. 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. T. Williams more than expected).

Fields of papers citing papers by J. T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. T. Williams. A scholar is included among the top collaborators of J. T. 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. T. Williams. J. T. 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
#WorkIndexed citations
1 7
2 5
3 10
4 19
5 66
6 17
7 40
8 53
9 141
10 7
11 90
12 10
13
Origin and population structure of the Icelanders.
14
14 34
15
The implications of climatic changes for plant genetic conservation strategies.
0
16
Ecological and genetic considerations in collecting and using wild relatives.
3
17
Towards better use of genebanks with special reference to information
14
18 92
19 109
20 8

About J. T. Williams

J. T. Williams is a scholar working on Internal Medicine, Geography, Planning and Development and Genetics, having authored 26 papers that have together received 828 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Internal Medicine (91 citations), Genetics (292 citations) and Parasitology (46 citations). J. T. Williams has collaborated with scholars based in United States, French Polynesia and United Kingdom. Frequent co-authors include John Blangero, Laura Almasy, W W Slack, Richard Faber, L P Le Quesne, A. Allan, Laura Almasy, Lisa J. Martin, Anthony G. Comuzzie and Philip H. Crowley. Their work appears in journals such as International Journal of Obesity, British journal of surgery and American Journal of Tropical Medicine and Hygiene.

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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