Alex Y. Strongin

15.9k total citations · 3 hit papers
204 papers, 13.3k citations indexed

About

Alex Y. Strongin is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Alex Y. Strongin has authored 204 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cancer Research, 83 papers in Oncology and 78 papers in Molecular Biology. Recurrent topics in Alex Y. Strongin's work include Protease and Inhibitor Mechanisms (92 papers), Peptidase Inhibition and Analysis (81 papers) and Cell Adhesion Molecules Research (35 papers). Alex Y. Strongin is often cited by papers focused on Protease and Inhibitor Mechanisms (92 papers), Peptidase Inhibition and Analysis (81 papers) and Cell Adhesion Molecules Research (35 papers). Alex Y. Strongin collaborates with scholars based in United States, Russia and Canada. Alex Y. Strongin's co-authors include Elena I. Deryugina, Barry L. Marmer, Ivan E. Collier, Boris I. Ratnikov, Gregory I. Goldberg, Sergey A. Shiryaev, Jeffrey W. Smith, Dmitri V. Rozanov, G. A. Bannikov and Gregory A. Grant and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Alex Y. Strongin

203 papers receiving 13.0k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mechanism Of Cell Surface Activation Of 72-kDa Type IV Collagenase

1995 1.4k citations Alex Y. Strongin et al. Journal of Biological Chemistry profile →
Compensation mechanism in tumor cell migration

2003 1.1k citations Elena I. Deryugina, Alex Y. Strongin et al. profile →
S-Nitrosylation of Matrix Metalloproteinases: Signaling Pathway to Neuronal Cell Death

2002 801 citations Alex Y. Strongin, Jeffrey W. Smith et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Y. Strongin United States	60	6.2k	5.1k	4.6k	2.2k	2.0k	204	13.3k
Dieter Brömme Canada	66	4.7k 0.8×	7.3k 1.4×	3.2k 0.7×	1.1k 0.5×	955 0.5×	196	13.6k
Jay L. Degen United States	66	3.5k 0.6×	3.8k 0.7×	2.0k 0.4×	1.2k 0.6×	4.8k 2.3×	151	15.3k
Thomas Bugge United States	62	2.4k 0.4×	4.5k 0.9×	1.9k 0.4×	1.5k 0.7×	2.0k 1.0×	165	11.2k
James P. Quigley United States	54	4.9k 0.8×	5.5k 1.1×	3.8k 0.8×	2.1k 1.0×	1.5k 0.8×	119	12.5k
Roy A. Black United States	50	2.6k 0.4×	7.3k 1.4×	3.8k 0.8×	2.7k 1.2×	947 0.5×	95	14.8k
Carl Blobel United States	72	2.7k 0.4×	8.0k 1.6×	5.6k 1.2×	4.4k 2.0×	909 0.4×	148	16.2k
Duanqing Pei China	65	3.4k 0.6×	9.0k 1.8×	3.0k 0.7×	782 0.4×	1.2k 0.6×	259	14.2k
Francesco Blasi Italy	79	11.7k 1.9×	9.5k 1.9×	4.6k 1.0×	3.7k 1.7×	6.0k 3.0×	281	20.7k
Mathew A. Vadas Australia	69	3.7k 0.6×	9.2k 1.8×	2.2k 0.5×	1.9k 0.9×	1.1k 0.5×	207	17.4k
Dominique Belin Switzerland	52	4.2k 0.7×	8.0k 1.6×	1.3k 0.3×	1.2k 0.5×	2.6k 1.3×	114	15.0k

Countries citing papers authored by Alex Y. Strongin

Since Specialization

Citations

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

Fields of papers citing papers by Alex Y. Strongin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Y. Strongin. 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 Alex Y. Strongin. The network helps show where Alex Y. Strongin may publish in the future.

Co-authorship network of co-authors of Alex Y. Strongin

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

All Works

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20 of 20 papers shown

Dolkas, Jennifer, Andrei V. Chernov, Tony L. Yaksh, et al.. (2024). Cholesterol-dependent LXR transcription factor activity represses pronociceptive effects of estrogen in sensory neurons and pain induced by myelin basic protein fragments. Brain Behavior & Immunity - Health. 38. 100757–100757. 1 indexed citations

Chernov, Andrei V., Kelly A. Eddinger, Jennifer Dolkas, et al.. (2020). A myelin basic protein fragment induces sexually dimorphic transcriptome signatures of neuropathic pain in mice. Journal of Biological Chemistry. 295(31). 10807–10821. 20 indexed citations

Barile, Elisa, Carlo Baggio, Luca Gambini, et al.. (2020). Potential Therapeutic Targeting of Coronavirus Spike Glycoprotein Priming. Molecules. 25(10). 2424–2424. 17 indexed citations

Remacle, Albert G., Jennifer Dolkas, Mila Angert, et al.. (2018). Acute- and late-phase matrix metalloproteinase (MMP)-9 activity is comparable in female and male rats after peripheral nerve injury. Journal of Neuroinflammation. 15(1). 89–89. 28 indexed citations

Qin, Peng, Shaoying Lu, Yuxin Shi, et al.. (2018). Coordinated histone modifications and chromatin reorganization in a single cell revealed by FRET biosensors. Proceedings of the National Academy of Sciences. 115(50). E11681–E11690. 45 indexed citations

Limsakul, Praopim, Peng Qin, Yiqian Wu, et al.. (2018). Directed Evolution to Engineer Monobody for FRET Biosensor Assembly and Imaging at Live-Cell Surface. Cell chemical biology. 25(4). 370–379.e4. 20 indexed citations

Remacle, Albert G., Vladislav S. Golubkov, Sergey A. Shiryaev, et al.. (2012). Novel MT1-MMP Small-Molecule Inhibitors Based on Insights into Hemopexin Domain Function in Tumor Growth. Cancer Research. 72(9). 2339–2349. 110 indexed citations

Chernov, Andrei V. & Alex Y. Strongin. (2011). Epigenetic regulation of matrix metalloproteinases and their collagen substrates in cancer. BioMolecular Concepts. 2(3). 135–147. 55 indexed citations

Golubkov, Vladislav S., Alexander E. Aleshin, & Alex Y. Strongin. (2011). Potential Relation of Aberrant Proteolysis of Human Protein Tyrosine Kinase 7 (PTK7) chuzhoi by Membrane Type 1 Matrix Metalloproteinase (MT1-MMP) to Congenital Defects. Journal of Biological Chemistry. 286(23). 20970–20976. 23 indexed citations

10.

Ouyang, Mingxing, He Huang, Nathan C. Shaner, et al.. (2010). Simultaneous Visualization of Protumorigenic Src and MT1-MMP Activities with Fluorescence Resonance Energy Transfer. Cancer Research. 70(6). 2204–2212. 91 indexed citations

11.

Shiryaev, Sergey A., Anton Cheltsov, Katarzyna Gawlik, Boris I. Ratnikov, & Alex Y. Strongin. (2010). Virtual Ligand Screening of the National Cancer Institute (NCI) Compound Library Leads to the Allosteric Inhibitory Scaffolds of the West Nile Virus NS3 Proteinase. Assay and Drug Development Technologies. 9(1). 69–78. 40 indexed citations

12.

Shiryaev, Sergey A., et al.. (2009). NS4A regulates the ATPase activity of the NS3 helicase: a novel cofactor role of the non-structural protein NS4A from West Nile virus. Journal of General Virology. 90(9). 2081–2085. 61 indexed citations

13.

Rozanov, Dmitri V., Alexei Y. Savinov, Roy Williams, et al.. (2008). Molecular Signature of MT1-MMP: Transactivation of the Downstream Universal Gene Network in Cancer. Cancer Research. 68(11). 4086–4096. 54 indexed citations

14.

Johnston, Paul A., Jennifer Phillips, Tong Ying Shun, et al.. (2007). HTS Identifies Novel and Specific Uncompetitive Inhibitors of the Two-Component NS2B-NS3 Proteinase of West Nile Virus. Assay and Drug Development Technologies. 5(6). 737–750. 85 indexed citations

15.

Golubkov, Vladislav S., et al.. (2006). Membrane Type-1 Matrix Metalloproteinase Confers Aneuploidy and Tumorigenicity on Mammary Epithelial Cells. Cancer Research. 66(21). 10460–10465. 33 indexed citations

16.

Strongin, Alex Y.. (2006). Mislocalization and unconventional functions of cellular MMPs in cancer. Cancer and Metastasis Reviews. 25(1). 87–98. 75 indexed citations

17.

Marchenko, Natalia, Г. Н. Марченко, Robert N. Weinreb, et al.. (2004). β-Catenin regulates the gene of MMP-26, a novel matrix metalloproteinase expressed both in carcinomas and normal epithelial cells. The International Journal of Biochemistry & Cell Biology. 36(5). 942–956. 80 indexed citations

18.

Rozanov, Dmitri V. & Alex Y. Strongin. (2003). Membrane Type-1 Matrix Metalloproteinase Functions as a Proprotein Self-convertase. Journal of Biological Chemistry. 278(10). 8257–8260. 43 indexed citations

19.

Ratnikov, Boris I., Elena I. Deryugina, & Alex Y. Strongin. (2002). Gelatin Zymography and Substrate Cleavage Assays of Matrix Metalloproteinase-2 in Breast Carcinoma Cells Overexpressing Membrane Type-1 Matrix Metalloproteinase. Laboratory Investigation. 82(11). 1583–1590. 37 indexed citations

20.

Strongin, Alex Y., et al.. (1990). Chemical modification of the recombinant human αA- and β-interferons. Biochemical and Biophysical Research Communications. 167(1). 74–80. 2 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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