Donna Williams

1.2k citations
35 papers · 969 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms

Papers in

Donna Williams

35 papers receiving 944 citations

Peers

Donna Williams
Comparison fields: 5 of 106
  • Cancer Research 138
  • Molecular Biology 598
  • Immunology 155
  • Dermatology 56
  • Oncology 104
Replace Johanna Strobl with:
Johanna Strobl Austria
Rachel A. Katzenellenbogen United States
S Hahn Switzerland
Wannapa Settheetham‐Ishida Thailand
Are Dalen Norway
Aleš Janda Germany
Sarah Harris United Kingdom
Shama Virani United States
John G. Howe United States
Yuhua Liu China
Donna Williams relative to Johanna Strobl Austria Johanna Strobl's profile →
Citations per field
00.5×1.6×
Johanna Strobl · 1×
Citations per year

Countries citing papers authored by Donna Williams

Since Specialization
Citations

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

Fields of papers citing papers by Donna Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Donna Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donna Williams Line = papers co-authored together Donna Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010175
2 2005128
3 2007118
4 201195
5 199864
6 199944
7
Depressed IL-12-mediated signal transduction in T cells from patients with Sézary syndrome is associated with the absence of IL-12 receptor beta 2 mRNA and highly reduced levels of STAT4.
199942
8 201039
9 200839
10 200628
11 201027
12 199221
13 198718
14 200816
15 201316
16 201415
17 201213
18 200910
19 20019
20 20198

About Donna Williams

Donna Williams is a scholar working on Molecular Biology, General Health Professions, Epidemiology, Oncology and Immunology, having authored 35 papers that have together received 969 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (9 papers), Cervical Cancer and HPV Research (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Global Cancer Incidence and Screening (5 papers), Health Literacy and Information Accessibility (3 papers), T-cell and B-cell Immunology (3 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (598 citations), Immunology (155 citations), Dermatology (56 citations) and Oncology (104 citations). Donna Williams has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael J. Gait, Saïd Abes, Bernard Lebleu, Louise C. Showe, Adrián Gabriel Torres, Martin M. Fabani, Elena Vigorito, Andrey Arzumanov, David Owen and Paul Prévôt. Their work appears in journals such as Nucleic Acids Research, International Journal of Environmental Research and Public Health, Sexually Transmitted Diseases, Human Molecular Genetics and Bioorganic & Medicinal Chemistry Letters.

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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