Carol L. Williams

3.5k total citations
96 papers, 2.8k citations indexed

About

Carol L. Williams is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Carol L. Williams has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Carol L. Williams's work include Protein Kinase Regulation and GTPase Signaling (17 papers), Receptor Mechanisms and Signaling (15 papers) and Ion channel regulation and function (9 papers). Carol L. Williams is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (17 papers), Receptor Mechanisms and Signaling (15 papers) and Ion channel regulation and function (9 papers). Carol L. Williams collaborates with scholars based in United States, Czechia and Japan. Carol L. Williams's co-authors include Vanda A. Lennon, Ellen Lorimer, Cathy Cole Lanning, Derek Strassheim, Andrew D. Hauser, Delphis F. Levia, Emily D. Yates, J. Donald Capra, Tracy J. Berg and I Sanz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Carol L. Williams

95 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carol L. Williams United States 30 1.5k 346 287 276 214 96 2.8k
Oleg Georgiev Switzerland 44 3.5k 2.4× 229 0.7× 400 1.4× 619 2.2× 182 0.9× 102 6.7k
Naoki Goshima Japan 32 3.3k 2.2× 489 1.4× 417 1.5× 169 0.6× 165 0.8× 119 4.3k
Cécile Fizames France 22 2.9k 2.0× 321 0.9× 382 1.3× 324 1.2× 71 0.3× 37 6.0k
Akira Kanamori Japan 35 1.1k 0.7× 170 0.5× 412 1.4× 209 0.8× 108 0.5× 167 4.3k
Josiane Szpirer Belgium 31 2.0k 1.4× 205 0.6× 306 1.1× 251 0.9× 84 0.4× 137 3.4k
Yun‐Fai Chris Lau United States 42 4.7k 3.2× 326 0.9× 330 1.1× 569 2.1× 96 0.4× 135 7.5k
Barbara Wallner United States 31 1.8k 1.2× 276 0.8× 555 1.9× 1.0k 3.8× 280 1.3× 64 4.2k
Amy Chen United States 24 1.9k 1.3× 495 1.4× 382 1.3× 568 2.1× 58 0.3× 72 3.2k
Robert H. Podolsky United States 33 1.1k 0.8× 146 0.4× 359 1.3× 248 0.9× 138 0.6× 108 3.0k
Marcia Hall United Kingdom 30 1.2k 0.8× 177 0.5× 1.4k 4.9× 399 1.4× 157 0.7× 157 3.7k

Countries citing papers authored by Carol L. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Carol L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol L. Williams

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

All Works

20 of 20 papers shown
1.
Williams, Carol L., et al.. (2023). Novel regulatory roles of small G protein GDP dissociation stimulator (smgGDS) in insulin secretion from pancreatic β-cells. Molecular and Cellular Endocrinology. 580. 112104–112104. 1 indexed citations
2.
Lorimer, Ellen, et al.. (2023). GTPase splice variants RAC1 and RAC1B display isoform-specific differences in localization, prenylation, and interaction with the chaperone protein SmgGDS. Journal of Biological Chemistry. 299(6). 104698–104698. 9 indexed citations
3.
Lorimer, Ellen, et al.. (2022). Structural and biophysical properties of farnesylated KRas interacting with the chaperone SmgGDS-558. Biophysical Journal. 121(19). 3684–3697. 1 indexed citations
4.
McNally, Lisa, Ellen Lorimer, Kiall F. Suazo, et al.. (2020). Splice switching an oncogenic ratio of SmgGDS isoforms as a strategy to diminish malignancy. Proceedings of the National Academy of Sciences. 117(7). 3627–3636. 21 indexed citations
5.
Wilson, Jessica, et al.. (2015). β-Adrenergic receptors suppress Rap1B prenylation and promote the metastatic phenotype in breast cancer cells. Cancer Biology & Therapy. 16(9). 1364–1374. 39 indexed citations
6.
Jordan, Nicholas R., Lisa A. Schulte, Carol L. Williams, et al.. (2013). Landlabs: An Integrated Approach to Creating Agricultural Enterprises That Meet the Triple Bottom Line. Journal of higher education outreach & engagement. 17(4). 175–200. 14 indexed citations
7.
Hauser, Andrew D., Carmen Bergom, Xiuxu Chen, et al.. (2013). The SmgGDS Splice Variant SmgGDS-558 Is a Key Promoter of Tumor Growth and RhoA Signaling in Breast Cancer. Molecular Cancer Research. 12(1). 130–142. 25 indexed citations
8.
Murphy, Brian, et al.. (2013). Design for Biodiversity: A Technical Guide for New and Existing Buildings. 4 indexed citations
9.
Ventura, Stephen J., et al.. (2012). Guidelines for sustainable planting and harvest of nonforest biomass in Wisconsin. Journal of Soil and Water Conservation. 67(1). 6 indexed citations
10.
Bongard, Robert D., et al.. (2011). Characterization of the threshold for NAD(P)H:quinone oxidoreductase activity in intact sulforaphane-treated pulmonary arterial endothelial cells. Free Radical Biology and Medicine. 50(8). 953–962. 10 indexed citations
11.
Nithipatikom, Kasem, Alan T. Tang, Vijaya L. Manthati, et al.. (2010). Inhibition of carcinoma cell motility by epoxyeicosatrienoic acid (EET) antagonists. Cancer Science. 101(12). 2629–2636. 37 indexed citations
12.
Williams, Carol L., et al.. (2004). Elevated Rac1 Activity Changes the M3 Muscarinic Acetylcholine Receptor-Mediated Inhibition of Proliferation to Induction of Cell Death. Molecular Pharmacology. 65(5). 1080–1091. 12 indexed citations
13.
Lanning, Cathy Cole, et al.. (2003). Novel Mechanism of the Co-regulation of Nuclear Transport of SmgGDS and Rac1. Journal of Biological Chemistry. 278(14). 12495–12506. 84 indexed citations
14.
Williams, Carol L.. (2002). Laboratory of Molecular Pharmacology. Guthrie Journal. 71(2). 70–74. 1 indexed citations
15.
Varker, Kimberly A. & Carol L. Williams. (2002). Involvement of the muscarinic acetylcholine receptor in inhibition of cell migration. Biochemical Pharmacology. 63(4). 597–605. 8 indexed citations
16.
17.
Williams, Carol L., et al.. (1998). Reduced DNA synthesis and cell viability in small cell lung carcinoma by treatment with cyclic AMP phosphodiesterase inhibitors. Biochemical Pharmacology. 56(9). 1229–1236. 44 indexed citations
18.
Williams, Carol L.. (1997). BASIC SCIENCE OF SMALL CELL LUNG CANCER. Chest Surgery Clinics of North America. 7(1). 1–19. 2 indexed citations
19.
20.
Williams, Carol L. & Vanda A. Lennon. (1990). Activation of M3 muscarinic acetylcholine receptors inhibits voltage-dependent calcium influx in small cell lung carcinoma.. Journal of Biological Chemistry. 265(3). 1443–1447. 29 indexed citations

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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