Mark E. Adams

4.1k total citations · 1 hit paper
66 papers, 3.4k citations indexed

About

Mark E. Adams is a scholar working on Rheumatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Mark E. Adams has authored 66 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Rheumatology, 23 papers in Molecular Biology and 17 papers in Cell Biology. Recurrent topics in Mark E. Adams's work include Osteoarthritis Treatment and Mechanisms (31 papers), Proteoglycans and glycosaminoglycans research (16 papers) and Knee injuries and reconstruction techniques (13 papers). Mark E. Adams is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (31 papers), Proteoglycans and glycosaminoglycans research (16 papers) and Knee injuries and reconstruction techniques (13 papers). Mark E. Adams collaborates with scholars based in Canada, United States and Czechia. Mark E. Adams's co-authors include R. H. Pearce, Martin T. Schechter, Paul Bishop, Ian Tsang, André Lussier, B.J. Grimmer, K D Brandt, John R. Matyas, Helen Muir and Michael E. J. Billingham and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Mark E. Adams

66 papers receiving 3.3k citations

Hit Papers

Preliminary Evaluation of a Scheme for Grading the Gross ... 1990 2026 2002 2014 1990 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
Mark E. Adams Canada 31 1.5k 1.1k 989 966 551 66 3.4k
Peter Ghosh Australia 36 1.3k 0.9× 1.3k 1.1× 1.5k 1.5× 1.3k 1.3× 548 1.0× 128 3.9k
Gregg Wesolowski United States 29 1.4k 0.9× 605 0.5× 96 0.1× 369 0.4× 2.3k 4.2× 49 4.5k
Philippe Pastoureau France 25 1.1k 0.7× 452 0.4× 104 0.1× 309 0.3× 862 1.6× 57 2.4k
Win‐Ping Deng Taiwan 28 365 0.2× 517 0.5× 264 0.3× 244 0.3× 687 1.2× 62 2.2k
Yiyun Wang China 28 382 0.3× 368 0.3× 181 0.2× 148 0.2× 1.3k 2.4× 93 2.8k
Yulia Merkher Israel 17 207 0.1× 248 0.2× 283 0.3× 225 0.2× 431 0.8× 33 1.5k
Indira Prasadam Australia 30 1.2k 0.8× 306 0.3× 31 0.0× 363 0.4× 871 1.6× 75 2.3k
Monica Marra Italy 25 792 0.5× 804 0.7× 75 0.1× 80 0.1× 462 0.8× 48 2.3k
S Kasai Japan 12 263 0.2× 158 0.1× 83 0.1× 84 0.1× 1.0k 1.8× 28 1.9k
Zhaoming Ye China 34 535 0.4× 398 0.3× 149 0.2× 74 0.1× 1.1k 1.9× 194 3.4k

Countries citing papers authored by Mark E. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Adams. 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 Mark E. Adams. The network helps show where Mark E. Adams may publish in the future.

Co-authorship network of co-authors of Mark E. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Adams. A scholar is included among the top collaborators of Mark E. Adams 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 Mark E. Adams. Mark E. Adams 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.
Adams, Mark E., Toshitake Kobayashi, J. David Lawson, et al.. (2015). Fragment-based drug discovery of potent and selective MKK3/6 inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(3). 1086–1089. 21 indexed citations
2.
Adams, Mark E., Michael B. Wallace, Toufike Kanouni, et al.. (2012). Design and synthesis of orally available MEK inhibitors with potent in vivo antitumor efficacy. Bioorganic & Medicinal Chemistry Letters. 22(7). 2411–2414. 15 indexed citations
3.
Hudson, Andrew R., Robert I. Higuchi, Steven L. Roach, et al.. (2011). Nonsteroidal 2,3-dihydroquinoline glucocorticoid receptor agonists with reduced PEPCK activation. Bioorganic & Medicinal Chemistry Letters. 21(6). 1654–1657. 3 indexed citations
4.
Henry, Jake Y., Lingeng Lu, Mark E. Adams, et al.. (2010). Effect of lenalidomide on the antiprostate cancer activity of docetaxel in vitro and in vivo.. Journal of Clinical Oncology. 28(15_suppl). e13155–e13155. 1 indexed citations
5.
Wallace, Michael B., Mark E. Adams, Toufike Kanouni, et al.. (2010). Structure-based design and synthesis of pyrrole derivatives as MEK inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(14). 4156–4158. 51 indexed citations
6.
Higuchi, Robert I., Anthony W. Thompson, Thomas R. Caferro, et al.. (2007). Potent, nonsteroidal selective androgen receptor modulators (SARMs) based on 8H-[1,4]oxazino[2,3-f]quinolin-8-ones. Bioorganic & Medicinal Chemistry Letters. 17(19). 5442–5446. 13 indexed citations
7.
Matyas, John R., et al.. (2002). Regional quantification of cartilage type II collagen and aggrecan messenger RNA in joints with early experimental osteoarthritis. Arthritis & Rheumatism. 46(6). 1536–1543. 45 indexed citations
8.
Lee, Vivian, Liwen Chen, Liu Cao, et al.. (2002). Cleavage of the Carboxyl Tail from the G3 Domain of Aggrecan but Not Versican and Identification of the Amino Acids Involved in the Degradation. Journal of Biological Chemistry. 277(25). 22279–22288. 10 indexed citations
9.
10.
Zhang, Yaou, Yaojiong Wu, Liu Cao, et al.. (2001). Versican Modulates Embryonic Chondrocyte Morphology via the Epidermal Growth Factor-like Motifs in G3. Experimental Cell Research. 263(1). 33–42. 36 indexed citations
11.
Wu, Yaojiong, Yaou Zhang, Liu Cao, et al.. (2001). Identification of the Motif in Versican G3 Domain That Plays a Dominant-negative Effect on Astrocytoma Cell Proliferation through Inhibiting Versican Secretion and Binding. Journal of Biological Chemistry. 276(17). 14178–14186. 46 indexed citations
13.
Matyas, John R., et al.. (1999). A Comparison of Various “Housekeeping” Probes for Northern Analysis of Normal and Osteoarthritic Articular Cartilage RNA. Connective Tissue Research. 40(3). 163–172. 12 indexed citations
14.
Cao, Liu, Vivian Lee, Mark E. Adams, et al.. (1999). β1-Integrin–collagen interaction reduces chondrocyte apoptosis. Matrix Biology. 18(4). 343–355. 98 indexed citations
15.
Matyas, John R., Linda J. Sandell, & Mark E. Adams. (1997). Gene expression of type II collagens in chondro-osteophytes in experimental osteoarthritis. Osteoarthritis and Cartilage. 5(2). 99–105. 41 indexed citations
16.
Matyas, John R., et al.. (1997). Major role of collagen IIB in the elevation of total type II procollagen messenger RNA in the hypertrophic phase of experimental osteoarthritis. Arthritis & Rheumatism. 40(6). 1046–1049. 15 indexed citations
17.
Adams, Mark E., et al.. (1996). Expression of biglycan, decorin and fibromodulin in the hypertrophic phase of experimental osteoarthritis. Osteoarthritis and Cartilage. 4(3). 187–196. 25 indexed citations
19.
Adams, Mark E., et al.. (1992). Extraction and isolation of mRNA from adult articular cartilage. Analytical Biochemistry. 202(1). 89–95. 53 indexed citations
20.
Adams, Mark E. & H Muir. (1981). The glycosaminoglycans of canine menisci. Biochemical Journal. 197(2). 385–389. 54 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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