Mary K. Cowman

6.7k total citations · 1 hit paper
78 papers, 5.3k citations indexed

About

Mary K. Cowman is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Mary K. Cowman has authored 78 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cell Biology, 37 papers in Molecular Biology and 10 papers in Biomedical Engineering. Recurrent topics in Mary K. Cowman's work include Proteoglycans and glycosaminoglycans research (48 papers), Glycosylation and Glycoproteins Research (20 papers) and Fibroblast Growth Factor Research (9 papers). Mary K. Cowman is often cited by papers focused on Proteoglycans and glycosaminoglycans research (48 papers), Glycosylation and Glycoproteins Research (20 papers) and Fibroblast Growth Factor Research (9 papers). Mary K. Cowman collaborates with scholars based in United States, Canada and Japan. Mary K. Cowman's co-authors include Paul W. Noble, Charlotte McKee, Chiara Spagnoli, Shiro Matsuoka, Hyeon Gyu Lee, Eva A. Turley, Abraham Ulman, Margaret B. Penno, Robert M. Strieter and Micki Burdick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Mary K. Cowman

77 papers receiving 5.1k citations

Hit Papers

Hyaluronan (HA) fragments induce chemokine gene expressio... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary K. Cowman United States 38 2.4k 2.1k 584 566 514 78 5.3k
David G. Fernig United Kingdom 51 2.6k 1.1× 6.3k 3.0× 2.3k 4.0× 1.1k 1.9× 802 1.6× 211 12.1k
Marvin L. Tanzer United States 43 1.3k 0.5× 2.1k 1.0× 427 0.7× 1.3k 2.3× 334 0.6× 118 5.8k
S. Raghavan United States 35 760 0.3× 1.3k 0.6× 731 1.3× 190 0.3× 158 0.3× 127 4.8k
Małgorzata Lekka Poland 32 1.9k 0.8× 1.3k 0.6× 1.5k 2.6× 261 0.5× 241 0.5× 160 4.9k
Daniel I. C. Wang United States 44 659 0.3× 3.9k 1.9× 2.5k 4.2× 801 1.4× 773 1.5× 107 8.0k
Filip Braet Australia 44 962 0.4× 2.7k 1.3× 1.7k 3.0× 694 1.2× 327 0.6× 163 8.0k
Youngro Byun South Korea 49 670 0.3× 3.2k 1.5× 1.6k 2.7× 2.1k 3.8× 410 0.8× 261 7.8k
Gregg B. Fields United States 52 580 0.2× 3.7k 1.8× 480 0.8× 1.3k 2.2× 590 1.1× 157 7.8k
Toshihiro Akaike Japan 49 448 0.2× 3.8k 1.8× 1.6k 2.8× 2.1k 3.7× 1.0k 2.0× 278 8.4k
Yuko Inoue Japan 25 601 0.2× 910 0.4× 275 0.5× 238 0.4× 548 1.1× 124 2.9k

Countries citing papers authored by Mary K. Cowman

Since Specialization
Citations

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

Fields of papers citing papers by Mary K. Cowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary K. Cowman. 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 Mary K. Cowman. The network helps show where Mary K. Cowman may publish in the future.

Co-authorship network of co-authors of Mary K. Cowman

This figure shows the co-authorship network connecting the top 25 collaborators of Mary K. Cowman. A scholar is included among the top collaborators of Mary K. Cowman 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 Mary K. Cowman. Mary K. Cowman 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
2.
Ahmed, Amer, Graziantonio Lauria, Nunzia Gallo, et al.. (2024). Targeting mitochondria in Cancer therapy: Machine learning analysis of hyaluronic acid-based drug delivery systems. International Journal of Biological Macromolecules. 283(Pt 4). 137840–137840. 3 indexed citations
3.
Lin, Charles C., et al.. (2024). The Role of Hyaluronan/Receptor for Hyaluronan-Mediated Motility Interactions in the Modulation of Macrophage Polarization and Cartilage Repair. American Journal Of Pathology. 194(6). 1047–1061. 5 indexed citations
4.
Cowman, Mary K. & Eva A. Turley. (2023). Functional organization of extracellular hyaluronan, CD44, and RHAMM. 1(2). 19 indexed citations
5.
Yuan, Han, Xin Ye, Yuhong Fu, et al.. (2022). Selective isolation of hyaluronan by solid phase adsorption to silica. Analytical Biochemistry. 652. 114769–114769. 1 indexed citations
6.
Cowman, Mary K., Jin Ryoun Kim, Haim Ovadia, et al.. (2021). MTADV 5-MER peptide suppresses chronic inflammations as well as autoimmune pathologies and unveils a new potential target-Serum Amyloid A. Journal of Autoimmunity. 124. 102713–102713. 14 indexed citations
7.
Luyt, Leonard G., et al.. (2020). A Hyaluronan-binding Peptide (P15-1) Reduces Inflammatory and Catabolic Events in IL-1β-treated Human Articular Chondrocytes. Scientific Reports. 10(1). 1441–1441. 11 indexed citations
8.
Cowman, Mary K., et al.. (2019). Role of Hyaluronan in Inflammatory Effects on Human Articular Chondrocytes. Inflammation. 42(5). 1808–1820. 20 indexed citations
9.
Tölg, Cornelia, Han Yuan, Sarah Flynn, et al.. (2017). Hyaluronan modulates growth factor induced mammary gland branching in a size dependent manner. Matrix Biology. 63. 117–132. 47 indexed citations
10.
Ludwig, Taryn, Mary K. Cowman, Gregory D. Jay, & Tannin A. Schmidt. (2015). Effects of concentration and structure on proteoglycan 4 rheology and interaction with hyaluronan. Biorheology. 51(6). 409–422. 14 indexed citations
11.
Hill, David R., Hyunjin Rho, Sean P. Kessler, et al.. (2013). Human Milk Hyaluronan Enhances Innate Defense of the Intestinal Epithelium. Journal of Biological Chemistry. 288(40). 29090–29104. 72 indexed citations
12.
Cowman, Mary K., Michael Hernandez, & Jin Kim. (2012). Macromolecular crowding in biomatrix. 45–66. 1 indexed citations
13.
Cowman, Mary K., et al.. (2008). Transfer of Inter-α-inhibitor Heavy Chains to Hyaluronan by Surface-linked Hyaluronan-TSG-6 Complexes. Journal of Biological Chemistry. 284(4). 2320–2331. 21 indexed citations
14.
Cowman, Mary K. & Shiro Matsuoka. (2005). Experimental approaches to hyaluronan structure. Carbohydrate Research. 340(5). 791–809. 268 indexed citations
15.
Cowman, Mary K., et al.. (2000). Molecular Dynamics and Kinetics of Monosaccharides in Solution. A Broadband Ultrasonic Relaxation Study. The Journal of Physical Chemistry B. 104(19). 4782–4790. 52 indexed citations
16.
Li, Min, et al.. (1997). Nitric oxide degradation of heparin and heparan sulphate. Biochemical Journal. 324(2). 473–479. 60 indexed citations
17.
Behrends, R. E., Mary K. Cowman, F. Eggers, et al.. (1997). Ultrasonic Relaxation and Fast Chemical Kinetics of Some Carbohydrate Aqueous Solutions. Journal of the American Chemical Society. 119(9). 2182–2186. 45 indexed citations
18.
Lee, Hyeon Gyu & Mary K. Cowman. (1994). An Agarose Gel Electrophoretic Method for Analysis of Hyaluronan Molecular Weight Distribution. Analytical Biochemistry. 219(2). 278–287. 264 indexed citations
19.
Cowman, Mary K., et al.. (1987). High-performance gel permeation chromatography of glycosaminoglycans column calibration by gel electrophoresis. Journal of Chromatography A. 402. 149–158. 13 indexed citations
20.
Cowman, Mary K., et al.. (1984). 1H NMR of glycosaminoglycans and hyaluronic acid oligosaccharides in aqueous solution: The amide proton environment. Archives of Biochemistry and Biophysics. 230(1). 203–212. 53 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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