Stacy Williams

23 papers receiving 286 citations

Peers

Stacy Williams
Comparison fields: 5 of 72
  • Cancer Research 37
  • Oncology 54
  • Molecular Biology 130
  • Cardiology and Cardiovascular Medicine 34
  • Cell Biology 22
Replace Margot De Marco with:
Margot De Marco Italy
Qi Deng China
Matthew Yates United States
Yani Peng China
Olga Goncharova Kyrgyzstan
Una Hopkins United States
Justin H. Gundelach United States
Joke Lievens Belgium
Limin Huang China
Jia Hou China
Stacy Williams relative to Margot De Marco Italy Margot De Marco's profile →
Citations per field
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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 202127
5 202020
6 201418
7 199513
8 202211
9 202310
10 20229
11 20226
12 20225
13 19995
14 20224
15
Elisa for the measurement of complement C3 activation by autoantibodies directed against thyroid membrane antigens.
19914
16 20233
17 20222
18 20222
19 20102
20
The measurement of complement fixation by autoantibodies directed against thyroid membrane antigens.
19912

About Stacy Williams

Stacy Williams is a scholar working on Molecular Biology, Infectious Diseases, Pathology and Forensic Medicine, Epidemiology and Hematology, having authored 26 papers that have together received 289 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Genetic factors in colorectal cancer (3 papers), Fungal Infections and Studies (2 papers), Blood groups and transfusion (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Thyroid Disorders and Treatments (2 papers) and Toxoplasma gondii Research Studies (2 papers). The work is most often cited by research in Cancer Research (37 citations), Oncology (54 citations), Molecular Biology (130 citations), Cardiology and Cardiovascular Medicine (34 citations) and Cell Biology (22 citations). Stacy Williams has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Gary M. Kupfer, Patrick Sung, Simonne Longerich, Cyrus Vaziri, Yunro Chung, Emile G. Daoud, Ralph Augostini, John D. Hummel, Steven J. Kalbfleisch and Nigel J. Jones. Their work appears in journals such as Blood, Journal of Clinical Microbiology, Cancer Epidemiology Biomarkers & Prevention, Cancer Biomarkers and BMJ Open.

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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