Suzanne E. Williams

18 papers receiving 1.8k citations

Suzanne E. Williams's Hit Papers

Sequence identity between the alpha 2-macroglobulin receptor and low density lipoprotein receptor-related protein suggests that this molecule is a multifunctional receptor. 1990 · 575 citations
5750+12+24Years since publication100200300400500

Peers

Suzanne E. Williams
Comparison fields: 5 of 110
  • Cancer Research 651
  • Immunology and Allergy 204
  • Hematology 355
  • Cell Biology 303
  • Endocrinology, Diabetes and Metabolism 197
Replace Kelley M. Argraves with:
Kelley M. Argraves United States
Günter Daum United States
V. Buonassisi United States
Antonietta R. Farina Italy
Andrew L. Darrow United States
Govind Gawdi United States
Michael Leserer Germany
Yoshiaki Inui Japan
Hua Lu United States
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Citations per field
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Citations per year

Countries citing papers authored by Suzanne E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Sequence identity between the alpha 2-macroglobulin receptor and low density lipoprotein receptor-related protein suggests that this molecule is a multifunctional receptor.
Hit paper breakdown →
1990575
2 1992311
3 1992272
4 1991211
5 1992140
6 1994104
7 199254
8 199453
9 199447
10 200930
11 199421
12 200619
13 20165
14 20044
15 20183
16 20192
17 20222
18 20191

About Suzanne E. Williams

Suzanne E. Williams is a scholar working on Molecular Biology, Cancer Research, Safety Research, Genetics and Surgery, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Signaling Pathways in Disease (2 papers), Bacterial Genetics and Biotechnology (2 papers), Obesity, Physical Activity, Diet (2 papers), Children's Physical and Motor Development (2 papers), Enzyme Structure and Function (2 papers), Ubiquitin and proteasome pathways (2 papers) and Physical Education and Pedagogy (2 papers). The work is most often cited by research in Cancer Research (651 citations), Immunology and Allergy (204 citations), Hematology (355 citations), Cell Biology (303 citations) and Endocrinology, Diabetes and Metabolism (197 citations). Suzanne E. Williams has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Dudley K. Strickland, W. Scott Argraves, James Ashcom, Mary Migliorini, Wilson H. Burgess, Alan L. Schwartz, Guojun Bu, Glenna L. Fry, David Chappell and Per‐Henrik Iverius. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Cell Biochemistry and Biophysics, Annals of the New York Academy of Sciences and Osteoarthritis and Cartilage.

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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