Stacy Williams

1.1k citations
26 papers · 278 · h-index 9

Impact in

Papers in

    • DNA Repair Mechanisms 4
    • Advanced Biosensing Techniques and Applications 3
    • Genomics and Chromatin Dynamics 2
    • Fungal Infections and Studies 2

Stacy Williams

23 papers receiving 275 citations

Peers

Stacy Williams
Comparison fields: 5 of 75
  • Cancer Research 38
  • Oncology 57
  • Molecular Biology 137
  • Cardiology and Cardiovascular Medicine 39
  • Cell Biology 22
Replace Margot De Marco with:
Margot De Marco Italy
Qi Deng China
Chang Niu China
Ting Fu United States
Katrina Spaunhurst United States
Marcos Damasio Brazil
Alun Parsons Finland
Guofen Yang China
Stacy Williams relative to Margot De Marco Italy Margot De Marco's profile →
Citations per field
00.5×1.6×
Margot De Marco · 1×
Citations per year

Countries citing papers authored by Stacy Williams

Since Specialization
Citations

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

Fields of papers citing papers by Stacy Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stacy 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 Stacy Williams Line = papers co-authored together Stacy Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 200039
3 201138
4 202124
5 201418
6 202018
7 199513
8 202210
9 20239
10 20228
11 19995
12 20225
13 20224
14 20224
15
Elisa for the measurement of complement C3 activation by autoantibodies directed against thyroid membrane antigens.
19914
16 20233
17 20222
18
The measurement of complement fixation by autoantibodies directed against thyroid membrane antigens.
19912
19 20102
20 20221

About Stacy Williams

Stacy Williams is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Physiology and Infectious Diseases, having authored 26 papers that have together received 278 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genetic factors in colorectal cancer (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Thyroid Disorders and Treatments (2 papers), Galectins and Cancer Biology (2 papers), Genomics and Chromatin Dynamics (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Cancer Research (38 citations), Oncology (57 citations), Molecular Biology (137 citations), Cardiology and Cardiovascular Medicine (39 citations) and Cell Biology (22 citations). Stacy Williams has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Gary M. Kupfer, Patrick Sung, Simonne Longerich, Cyrus Vaziri, Ralph Augostini, John D. Hummel, Steven J. Kalbfleisch, Emile G. Daoud, Yunro Chung and Nigel J. Jones. Their work appears in journals such as Blood, Scientific Reports, BMJ Open, Cancer Biomarkers and Human Molecular Genetics.

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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