Graham Williams

501 citations
34 papers · 315 indexed · h-index 10
Topics
Forensic and Genetic Research (17 papers)Molecular Biology Techniques and Applications (14 papers)MicroRNA in disease regulation (7 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical BiochemistryThe Journal of Infectious Diseases

In The Last Decade

Graham Williams

32 papers receiving 298 citations

Peers

Graham Williams
Comparison fields: 5 of 66
  • Molecular Biology 239
  • Genetics 142
  • Cancer Research 119
  • Insect Science 33
  • Ecology 30
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P. Hoff-Olsen Norway
Haibo Luo China
A. Krätzer Switzerland
Anquan Ji China
Eva Sauer Germany
Sabrina Ingold United States
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Chengchen Shao China
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Citations per field
00.5×
P. Hoff-Olsen · 1×
Citations per year

Countries citing papers authored by Graham Williams

Since Specialization
Citations

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

Fields of papers citing papers by Graham Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Williams. A scholar is included among the top collaborators of Graham 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 Graham Williams. Graham 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 0
2 3
3 1
4 3
5 8
6 13
7 5
8 6
9 13
10 28
11 10
12 46
13 20
14 2
15
Forensic MicroRNA (miRNA) Analysis of Skin Specific Markers
1
16
Forensic Applications of Whole Genome Amplification
2
17
Thyroid hormone (T3) activates GH/IGF-1 signalling during skeletal development
1
18 22
19
Thyroid hormone receptor (TR) activity is modulated by TRdeltabeta3 in a cell-, response element-, and TR isoform-specific manner
1
20
Thyroid hormone actions on bone and growth
0

About Graham Williams

Graham Williams is a scholar working on Genetics, Cancer Research and Insect Science, having authored 34 papers that have together received 315 indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Molecular Biology Techniques and Applications (14 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (119 citations), Genetics (142 citations) and Molecular Biology (239 citations). Graham Williams has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Dieudonne van der Meer, Neil D. Evans, Bethan Lang, Kevin Marsh, Norbert Peshu, Chris Newbold, Charles R. Newton, Peter Maskell, Noemi Procopio and Michael Buckley. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and The Journal of Infectious Diseases.

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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