M. Sharon Stack

13.2k total citations · 1 hit paper
192 papers, 10.4k citations indexed

About

M. Sharon Stack is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, M. Sharon Stack has authored 192 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Cancer Research, 83 papers in Molecular Biology and 66 papers in Oncology. Recurrent topics in M. Sharon Stack's work include Protease and Inhibitor Mechanisms (84 papers), Cell Adhesion Molecules Research (41 papers) and Peptidase Inhibition and Analysis (40 papers). M. Sharon Stack is often cited by papers focused on Protease and Inhibitor Mechanisms (84 papers), Cell Adhesion Molecules Research (41 papers) and Peptidase Inhibition and Analysis (40 papers). M. Sharon Stack collaborates with scholars based in United States, Canada and Germany. M. Sharon Stack's co-authors include Shawn M. Ellerbroek, Yi Wu, Yueying Liu, David A. Fishman, Laurie G. Hudson, Christopher M. Overall, Salvatore V. Pizzo, Eric M. Tam, Maria V. Barbolina and Tammy L. Moser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

M. Sharon Stack

190 papers receiving 10.2k citations

Hit Papers

Multi-step pericellular p... 2007 2026 2013 2019 2007 250 500 750

Author Peers

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

Author Last Decade Papers Cites
M. Sharon Stack 5.2k 4.0k 3.3k 1.9k 1.6k 192 10.4k
Herbert A. Weich 7.7k 1.5× 2.9k 0.7× 3.2k 1.0× 847 0.5× 736 0.5× 114 11.9k
Kaoru Miyazaki 3.5k 0.7× 3.2k 0.8× 2.4k 0.7× 2.3k 1.2× 1.4k 0.9× 181 8.3k
Denise Crowley 8.8k 1.7× 3.5k 0.9× 5.5k 1.7× 1.2k 0.7× 1.1k 0.7× 48 14.0k
Suneel Apte 4.7k 0.9× 4.8k 1.2× 2.5k 0.7× 2.2k 1.2× 1.5k 1.0× 191 11.7k
Ulla M. Wewer 6.1k 1.2× 2.3k 0.6× 2.6k 0.8× 3.6k 1.9× 1.7k 1.1× 136 11.0k
Gordon Stamp 7.2k 1.4× 2.6k 0.6× 5.0k 1.5× 711 0.4× 1.1k 0.7× 118 12.5k
Jorma Keski‐Oja 7.9k 1.5× 4.9k 1.2× 3.4k 1.0× 3.3k 1.7× 1.8k 1.1× 194 15.9k
M. Luisa Iruela‐Arispe 12.5k 2.4× 5.0k 1.2× 3.1k 0.9× 2.2k 1.2× 3.2k 2.1× 202 21.4k
Elisabeth A. Seftor 9.5k 1.8× 4.8k 1.2× 4.7k 1.4× 2.1k 1.1× 2.0k 1.3× 124 13.9k
Peter Altevogt 10.6k 2.0× 4.5k 1.1× 5.7k 1.7× 2.3k 1.2× 1.7k 1.1× 243 18.7k

Countries citing papers authored by M. Sharon Stack

Since Specialization
Citations

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

Fields of papers citing papers by M. Sharon Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sharon Stack. 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 M. Sharon Stack. The network helps show where M. Sharon Stack may publish in the future.

Co-authorship network of co-authors of M. Sharon Stack

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sharon Stack. A scholar is included among the top collaborators of M. Sharon Stack 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 M. Sharon Stack. M. Sharon Stack 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.
Liang, Juan, Shehzad Rehman, Angelo de Mattos, et al.. (2025). A Case of Mantle Cell Lymphoma Infiltrating the Kidney Allograft. American Journal of Transplantation. 25(8). S863–S863.
2.
Bromley, Elizabeth, Jae-Ho Shin, Tyvette S. Hilliard, et al.. (2024). Combination non-targeted and sGRP78-targeted nanoparticle drug delivery outperforms either component to treat metastatic ovarian cancer. Journal of Controlled Release. 375. 438–453. 7 indexed citations
3.
Harper, Elizabeth I., Tyvette S. Hilliard, Yueying Liu, et al.. (2023). Advanced Glycation End Products as a Potential Target for Restructuring the Ovarian Cancer Microenvironment: A Pilot Study. International Journal of Molecular Sciences. 24(12). 9804–9804. 4 indexed citations
4.
Nandadasa, Sumeda, et al.. (2023). Degradomic Identification of Membrane Type 1-Matrix Metalloproteinase as an ADAMTS9 and ADAMTS20 Substrate. Molecular & Cellular Proteomics. 22(6). 100566–100566. 4 indexed citations
5.
Bahçecioğlu, Gökhan, et al.. (2023). Maternal obesity driven changes in collagen linearity of breast extracellular matrix induces invasive mammary epithelial cell phenotype. Biomaterials. 297. 122110–122110. 7 indexed citations
7.
Bahçecioğlu, Gökhan, Xiaoshan Yue, Erin N. Howe, et al.. (2021). Aged Breast Extracellular Matrix Drives Mammary Epithelial Cells to an Invasive and Cancer‐Like Phenotype. Advanced Science. 8(22). e2100128–e2100128. 34 indexed citations
8.
Asem, Marwa, Yueying Liu, Jing Yang, et al.. (2020). Host Wnt5a Potentiates Microenvironmental Regulation of Ovarian Cancer Metastasis. Cancer Research. 80(5). 1156–1170. 46 indexed citations
9.
Tang, Jessica, Ali Özeş, Aaron Buechlein, et al.. (2018). Epigenetic Targeting of Adipocytes Inhibits High-Grade Serous Ovarian Cancer Cell Migration and Invasion. Molecular Cancer Research. 16(8). 1226–1240. 19 indexed citations
10.
Liu, Yueying, et al.. (2016). Quantitation of Intra-peritoneal Ovarian Cancer Metastasis. Journal of Visualized Experiments. 12 indexed citations
11.
Badve, Sunil, Jun Li, Mayra J. Sandoval-Cooper, et al.. (2016). Aggressive breast cancer in western Kenya has early onset, high proliferation, and immune cell infiltration. BMC Cancer. 16(1). 204–204. 35 indexed citations
12.
Lengyel, Ernst, Joanna E. Burdette, Hilary A. Kenny, et al.. (2013). Epithelial ovarian cancer experimental models. Oncogene. 33(28). 3619–3633. 161 indexed citations
13.
Ghosh, Supurna, Jennifer E. Koblinski, Jeffrey J. Johnson, et al.. (2010). Urinary-Type Plasminogen Activator Receptor/α3β1 Integrin Signaling, Altered Gene Expression, and Oral Tumor Progression. Molecular Cancer Research. 8(2). 145–158. 20 indexed citations
14.
Jiang, Rong, Zonggao Shi, Jeffrey J. Johnson, Yueying Liu, & M. Sharon Stack. (2010). Kallikrein-5 Promotes Cleavage of Desmoglein-1 and Loss of Cell-Cell Cohesion in Oral Squamous Cell Carcinoma. Journal of Biological Chemistry. 286(11). 9127–9135. 44 indexed citations
17.
Tam, Eric M., Charlotte Morrison, Yi Wu, M. Sharon Stack, & Christopher M. Overall. (2004). Membrane protease proteomics: Isotope-coded affinity tag MS identification of undescribed MT1–matrix metalloproteinase substrates. Proceedings of the National Academy of Sciences. 101(18). 6917–6922. 236 indexed citations
18.
Bannon, Leslie J., Betty L. Cabrera, M. Sharon Stack, & Kathleen J. Green. (2001). Isoform-Specific Differences in the Size of Desmosomal Cadherin/Catenin Complexes. Journal of Investigative Dermatology. 117(5). 1302–1306. 1 indexed citations
19.
Bannon, Leslie J., Betty L. Cabrera, Kathleen J. Green, & M. Sharon Stack. (2001). Isoform-Specific Differences in the Size of Desmosomal Cadherin/Catenin Complexes. Journal of Investigative Dermatology. 117(5). 1302–1306. 17 indexed citations
20.
Ellerbroek, Shawn M. & M. Sharon Stack. (1999). Membrane associated matrix metalloproteinases in metastasis. BioEssays. 21(11). 940–949. 129 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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