Suzanne Williams

38 total papers · 4.2k total citations
24 papers, 3.4k citations indexed

About

Suzanne Williams is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Suzanne Williams has authored 24 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Genetics. Recurrent topics in Suzanne Williams's work include Pharmacogenetics and Drug Metabolism (6 papers), Trypanosoma species research and implications (4 papers) and Estrogen and related hormone effects (4 papers). Suzanne Williams is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Trypanosoma species research and implications (4 papers) and Estrogen and related hormone effects (4 papers). Suzanne Williams collaborates with scholars based in United States, Japan and United Kingdom. Suzanne Williams's co-authors include Harvey F. Lodish, Philipp E. Scherer, M Fogliano, Giulia Baldini, Serap Aksoy, Nicholas P. Lang, Susan Nowell, Frank F. Richards, Gerardo Z. Lederkremer and Giovanna Baldini and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Suzanne Williams

24 papers receiving 3.3k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

A Novel Serum Protein Similar to C1q, Produced Exclusively in Adipocytes

1995 2.6k citations Philipp E. Scherer, Suzanne Williams et al. Journal of Biological Chemistry profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Suzanne Williams	2.1k	1.4k	925	644	536	24	3.4k
Ivan Nagaev	1.7k 0.8×	1.2k 0.8×	678 0.7×	465 0.7×	349 0.7×	22	2.8k
Cristiana E. Juge-Aubry	1.2k 0.6×	1.1k 0.8×	1.1k 1.1×	439 0.7×	491 0.9×	29	2.9k
Sarah M. Wiesbrock	1.8k 0.9×	1.5k 1.1×	1.0k 1.1×	557 0.9×	390 0.7×	10	3.2k
Naoki Furuyama	1.8k 0.9×	1.3k 0.9×	724 0.8×	555 0.9×	549 1.0×	13	2.8k
Gouri Ranganathan	2.0k 0.9×	1.7k 1.2×	1.1k 1.2×	432 0.7×	691 1.3×	44	4.1k
M Fogliano	2.1k 1.0×	1.5k 1.0×	914 1.0×	747 1.2×	575 1.1×	8	3.3k
Joachim Fruebis	1.7k 0.8×	1.4k 1.0×	685 0.7×	636 1.0×	420 0.8×	24	3.2k
Kazuhisa Maeda	3.1k 1.5×	2.0k 1.4×	608 0.7×	895 1.4×	986 1.8×	24	4.2k
Aina S. Lihn	1.7k 0.8×	1.4k 1.0×	519 0.6×	445 0.7×	534 1.0×	18	2.7k
Incoronata Murano	1.9k 0.9×	2.1k 1.5×	883 1.0×	269 0.4×	685 1.3×	15	3.5k

Countries citing papers authored by Suzanne Williams

Since Specialization

Citations

This map shows the geographic impact of Suzanne 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 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 Williams more than expected).

Fields of papers citing papers by Suzanne Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Williams. A scholar is included among the top collaborators of Suzanne 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 Suzanne Williams. Suzanne Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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