Karla C. Williams

1.4k total citations
36 papers, 992 citations indexed

About

Karla C. Williams is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Karla C. Williams has authored 36 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cell Biology and 9 papers in Cancer Research. Recurrent topics in Karla C. Williams's work include Extracellular vesicles in disease (13 papers), Cell Adhesion Molecules Research (8 papers) and Cellular Mechanics and Interactions (5 papers). Karla C. Williams is often cited by papers focused on Extracellular vesicles in disease (13 papers), Cell Adhesion Molecules Research (8 papers) and Cellular Mechanics and Interactions (5 papers). Karla C. Williams collaborates with scholars based in Canada, United States and United Kingdom. Karla C. Williams's co-authors include Marc G. Coppolino, Hon S. Leong, Nikki Salmond, Yohan Kim, Michael Skalski, Michelle J. Kean, Ann F. Chambers, David A. Foster, Paul N. Durfee and Sabine Brett and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Oncogene.

In The Last Decade

Karla C. Williams

35 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karla C. Williams Canada 20 683 328 272 196 181 36 992
FuiBoon Kai United States 7 558 0.8× 235 0.7× 353 1.3× 263 1.3× 103 0.6× 11 1.1k
Francesca Di Modugno Italy 20 681 1.0× 284 0.9× 220 0.8× 519 2.6× 168 0.9× 43 1.3k
Dirk Wienke United Kingdom 16 569 0.8× 271 0.8× 198 0.7× 300 1.5× 249 1.4× 26 1.2k
Maija Puhka Finland 16 1.2k 1.8× 473 1.4× 320 1.2× 138 0.7× 57 0.3× 26 1.5k
Steffen Runz Germany 9 1.4k 2.0× 644 2.0× 254 0.9× 297 1.5× 177 1.0× 9 1.8k
Juha Rantala Finland 19 1.3k 1.9× 455 1.4× 362 1.3× 440 2.2× 200 1.1× 45 1.8k
Sylvie Monferran France 15 526 0.8× 235 0.7× 134 0.5× 256 1.3× 155 0.9× 20 919
Sophia Adamia United States 21 692 1.0× 135 0.4× 259 1.0× 251 1.3× 46 0.3× 69 1.5k
Ning Guo United States 12 632 0.9× 282 0.9× 166 0.6× 108 0.6× 159 0.9× 17 904
Inmaculada Navarro‐Lérida Spain 16 843 1.2× 177 0.5× 664 2.4× 320 1.6× 131 0.7× 18 1.4k

Countries citing papers authored by Karla C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Karla C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karla C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Karla C. Williams. A scholar is included among the top collaborators of Karla C. 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 Karla C. Williams. Karla C. 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.
Zhang, Hao‐Li, Tianyu Zhao, Wen‐Wen Zhang, et al.. (2025). Accurate label free classification of cancerous extracellular vesicles using nanoaperture optical tweezers and deep learning. 2(1). 1 indexed citations
2.
Halvaei, Sina, Nikki Salmond, & Karla C. Williams. (2025). Identification of DYRK1b as a novel regulator of small extracellular vesicle release using a high throughput nanoscale flow cytometry screening platform. Nanoscale. 17(13). 8206–8218. 1 indexed citations
3.
Daly, J.M., Angeline Wu, Katy Milne, et al.. (2025). Polysialic acid is upregulated on activated immune cells and negatively regulates anticancer immune activity. Frontiers in Oncology. 15. 1520948–1520948. 1 indexed citations
4.
Salmond, Nikki, Wai Leong Tam, Jason C. Rogalski, et al.. (2025). Circulating enolase 1 as a diagnostic biomarker for early-stage breast cancer. npj Precision Oncology. 9(1). 326–326.
5.
Sekar, Sathiya, et al.. (2024). Development of an immunosuppressed orthotopic hepatocellular carcinoma rat model for the evaluation of chemo- and radioembolization therapies. European Journal of Pharmaceutics and Biopharmaceutics. 196. 114180–114180. 2 indexed citations
6.
Peters, Matthew, et al.. (2024). Classification of single extracellular vesicles in a double nanohole optical tweezer for cancer detection. Journal of Physics Photonics. 6(3). 35017–35017. 3 indexed citations
7.
Daly, J.M., Jessica C. Stark, Nicholas M. Riley, et al.. (2023). The glycoimmune checkpoint receptor Siglec-7 interacts with T-cell ligands and regulates T-cell activation. Journal of Biological Chemistry. 300(2). 105579–105579. 18 indexed citations
8.
Salmond, Nikki, et al.. (2023). Separation and isolation of CD9-positive extracellular vesicles from plasma using flow cytometry. Nanoscale Advances. 5(17). 4435–4446. 7 indexed citations
9.
Brown, Jennifer I., Temilolu Idowu, David A. Frank, et al.. (2023). Investigating the anti-cancer potential of pyrimethamine analogues through a modern chemical biology lens. European Journal of Medicinal Chemistry. 264. 115971–115971. 5 indexed citations
10.
Brown, Jennifer I., Peng Wang, Boryana Petrova, et al.. (2023). Cycloguanil and Analogues Potently Target DHFR in Cancer Cells to Elicit Anti-Cancer Activity. Metabolites. 13(2). 151–151. 4 indexed citations
11.
12.
Williams, Karla C., et al.. (2022). In vivo micro-computed tomography imaging in liver tumor study of mice using Fenestra VC and Fenestra HDVC. Scientific Reports. 12(1). 22399–22399. 2 indexed citations
13.
14.
Salmond, Nikki, et al.. (2021). Clinical significance of STEAP1 extracellular vesicles in prostate cancer. Prostate Cancer and Prostatic Diseases. 24(3). 802–811. 29 indexed citations
15.
Williams, Karla C., Mario Cepeda, Ashley V. Makela, et al.. (2019). Invadopodia are chemosensing protrusions that guide cancer cell extravasation to promote brain tropism in metastasis. Oncogene. 38(19). 3598–3615. 45 indexed citations
16.
Padda, Ranjit S., Sabine Brett, Paul N. Durfee, et al.. (2019). Nanoscale flow cytometry to distinguish subpopulations of prostate extracellular vesicles in patient plasma. The Prostate. 79(6). 592–603. 40 indexed citations
17.
Kim, Yohan, et al.. (2016). Quantification of cancer cell extravasation in vivo. Nature Protocols. 11(5). 937–948. 57 indexed citations
18.
Williams, Karla C. & Marc G. Coppolino. (2011). Phosphorylation of Membrane Type 1-Matrix Metalloproteinase (MT1-MMP) and Its Vesicle-associated Membrane Protein 7 (VAMP7)-dependent Trafficking Facilitate Cell Invasion and Migration. Journal of Biological Chemistry. 286(50). 43405–43416. 102 indexed citations
19.
Skalski, Michael, et al.. (2010). Lamellipodium extension and membrane ruffling require different SNARE-mediated trafficking pathways. BMC Cell Biology. 11(1). 62–62. 33 indexed citations
20.
Skalski, Michael, et al.. (2010). SNARE-mediated membrane traffic is required for focal adhesion kinase signaling and Src-regulated focal adhesion turnover. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(1). 148–158. 20 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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