Jacqueline Williams

583 citations
8 papers · 475 indexed · h-index 8
Topics
Liver Disease Diagnosis and Treatment (7 papers)Peroxisome Proliferator-Activated Receptors (5 papers)Diet, Metabolism, and Disease (4 papers)

In The Last Decade

Jacqueline Williams

8 papers receiving 469 citations

Peers

Jacqueline Williams
Comparison fields: 5 of 45
  • Epidemiology 377
  • Molecular Biology 142
  • Endocrinology, Diabetes and Metabolism 142
  • Hepatology 111
  • Cell Biology 76
Replace Rory P. Cunningham with:
Rory P. Cunningham United States
Christopher McPhaul United States
Michael Charlton United States
Mike Milburn United States
Audrey Deprince France
Yasuko Nozaki Japan
Masafumi Uno Japan
Liang‐Jie Tang China
Mike L. J. Jeurissen Netherlands
Sorana Pisano United States
Jacqueline Williams relative to Rory P. Cunningham United States Rory P. Cunningham's profile →
Citations per field
00.5×10×12.5×
Rory P. Cunningham · 1×
Citations per year

Countries citing papers authored by Jacqueline Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Williams

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 106
2 69
3 31
4 63
5 98
6 57
7 40
8 11

About Jacqueline Williams

Jacqueline Williams is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 8 papers that have together received 475 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Hepatology (111 citations), Epidemiology (377 citations) and Endocrinology, Diabetes and Metabolism (142 citations). Jacqueline Williams has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Geoffrey C. Farrell, Claire Z. Larter, Matthew M. Yeh, Kim Bell‐Anderson, Aileen Dela Peňa, Jing Hou, John Brooling, Narci Teoh, Isabelle Leclercq and Lisa M. Sedger. Their work appears in journals such as Hepatology, Journal of Hepatology and Journal of Gastroenterology and Hepatology.

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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