Grace E. Munie

771 total citations
17 papers, 478 citations indexed

About

Grace E. Munie is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Grace E. Munie has authored 17 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Grace E. Munie's work include Peptidase Inhibition and Analysis (14 papers), Protease and Inhibitor Mechanisms (11 papers) and Signaling Pathways in Disease (5 papers). Grace E. Munie is often cited by papers focused on Peptidase Inhibition and Analysis (14 papers), Protease and Inhibitor Mechanisms (11 papers) and Signaling Pathways in Disease (5 papers). Grace E. Munie collaborates with scholars based in United States, China and Canada. Grace E. Munie's co-authors include Joseph J. McDonald, Micky D. Tortorella, Anne‐Marie Malfait, Huey‐Sheng Shieh, Daniel P. Becker, Craig Swearingen, Gary DeCrescenzo, Susan L. Hockerman, Thomas E. Barta and Louis J. Bedell and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Grace E. Munie

17 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace E. Munie United States 14 222 212 204 95 59 17 478
David T. Parker United States 10 236 1.1× 235 1.1× 222 1.1× 178 1.9× 19 0.3× 14 515
Naoki Teno Japan 15 154 0.7× 218 1.0× 156 0.8× 133 1.4× 15 0.3× 52 561
Craig Swearingen United States 15 107 0.5× 182 0.9× 97 0.5× 82 0.9× 113 1.9× 21 423
Attilla Ting United Kingdom 13 92 0.4× 267 1.3× 164 0.8× 100 1.1× 16 0.3× 17 467
Jennifer R. Thomason United States 11 124 0.6× 195 0.9× 115 0.6× 190 2.0× 43 0.7× 12 444
John Roderick United States 12 57 0.3× 138 0.7× 95 0.5× 128 1.3× 23 0.4× 14 301
Geoff Mellor United Kingdom 5 105 0.5× 176 0.8× 89 0.4× 67 0.7× 22 0.4× 5 357
Manfred Schudok Germany 15 94 0.4× 337 1.6× 114 0.6× 211 2.2× 8 0.1× 21 507
Aaron Maurais United States 7 56 0.3× 204 1.0× 71 0.3× 80 0.8× 52 0.9× 8 364
John Bird United Kingdom 10 159 0.7× 166 0.8× 166 0.8× 147 1.5× 10 0.2× 12 411

Countries citing papers authored by Grace E. Munie

Since Specialization
Citations

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

Fields of papers citing papers by Grace E. Munie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace E. Munie

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

All Works

17 of 17 papers shown
1.
Shieh, Huey‐Sheng, Alfredo G. Tomasselli, Karl J. Mathis, et al.. (2011). Structure analysis reveals the flexibility of the ADAMTS‐5 active site. Protein Science. 20(4). 735–744. 13 indexed citations
2.
Highkin, Maureen, Matthew Yates, Olga V. Nemirovskiy, et al.. (2011). High-Throughput Screening Assay for Sphingosine Kinase Inhibitors in Whole Blood Using RapidFire® Mass Spectrometry. SLAS DISCOVERY. 16(2). 272–277. 27 indexed citations
3.
Fobian, Yvette M., John N. Freskos, Thomas E. Barta, et al.. (2011). MMP-13 selective alpha-sulfone hydroxamates: Identification of selective P1′ amides. Bioorganic & Medicinal Chemistry Letters. 21(10). 2823–2825. 7 indexed citations
4.
Barta, Thomas E., Daniel P. Becker, Louis J. Bedell, et al.. (2011). MMP-13 selective α-sulfone hydroxamates: A survey of P1′ heterocyclic amide isosteres. Bioorganic & Medicinal Chemistry Letters. 21(10). 2820–2822. 7 indexed citations
5.
Kolodziej, Stephen A., Susan L. Hockerman, Gary DeCrescenzo, et al.. (2010). MMP-13 selective isonipecotamide α-sulfone hydroxamates. Bioorganic & Medicinal Chemistry Letters. 20(12). 3561–3564. 22 indexed citations
6.
Kolodziej, Stephen A., Susan L. Hockerman, Terri L. Boehm, et al.. (2010). Orally bioavailable dual MMP-1/MMP-14 sparing, MMP-13 selective α-sulfone hydroxamates. Bioorganic & Medicinal Chemistry Letters. 20(12). 3557–3560. 15 indexed citations
7.
Tortorella, Micky D., Alfredo G. Tomasselli, Karl J. Mathis, et al.. (2009). Structural and Inhibition Analysis Reveals the Mechanism of Selectivity of a Series of Aggrecanase Inhibitors. Journal of Biological Chemistry. 284(36). 24185–24191. 50 indexed citations
8.
Wittwer, Arthur J., Robert L. Hills, Robert H. Keith, et al.. (2007). Substrate-Dependent Inhibition Kinetics of an Active Site-Directed Inhibitor of ADAMTS-4 (Aggrecanase 1). Biochemistry. 46(21). 6393–6401. 28 indexed citations
9.
Becker, Daniel P., Clara I. Villamil, Thomas E. Barta, et al.. (2005). Synthesis and Structure−Activity Relationships of β- and α-Piperidine Sulfone Hydroxamic Acid Matrix Metalloproteinase Inhibitors with Oral Antitumor Efficacy. Journal of Medicinal Chemistry. 48(21). 6713–6730. 51 indexed citations
10.
Tortorella, Micky D., Elizabeth C. Arner, Robert L. Hills, et al.. (2005). ADAMTS-4 (aggrecanase-1): N-Terminal activation mechanisms. Archives of Biochemistry and Biophysics. 444(1). 34–44. 55 indexed citations
11.
Feng, Yiqing, John J. Likos, Leiming Zhu, et al.. (2002). Solution structure and backbone dynamics of the catalytic domain of matrix metalloproteinase-2 complexed with a hydroxamic acid inhibitor. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1598(1-2). 10–23. 91 indexed citations
12.
Becker, Daniel P., Thomas E. Barta, Louis J. Bedell, et al.. (2001). α-Amino-β-sulphone hydroxamates as potent MMP-13 inhibitors that spare MMP-1. Bioorganic & Medicinal Chemistry Letters. 11(20). 2719–2722. 27 indexed citations
13.
Barta, Thomas E., Daniel P. Becker, Louis J. Bedell, et al.. (2001). Selective, orally active MMP inhibitors with an aryl backbone. Bioorganic & Medicinal Chemistry Letters. 11(18). 2481–2483. 15 indexed citations
14.
Becker, Daniel P., Gary DeCrescenzo, John N. Freskos, et al.. (2001). α-Alkyl-α-amino-β-sulphone hydroxamates as potent MMP inhibitors that spare MMP-1. Bioorganic & Medicinal Chemistry Letters. 11(20). 2723–2725. 19 indexed citations
15.
Barta, Thomas E., Daniel P. Becker, Louis J. Bedell, et al.. (2000). Synthesis and activity of selective MMP inhibitors with an aryl backbone. Bioorganic & Medicinal Chemistry Letters. 10(24). 2815–2817. 21 indexed citations
16.
Freskos, John N., Gary DeCrescenzo, R. Heintz, et al.. (1999). Discovery of a novel series of selective MMP inhibitors: Identification of the γ-sulfone-thiols. Bioorganic & Medicinal Chemistry Letters. 9(7). 943–948. 21 indexed citations
17.
Warren, Wesley C., Grace E. Munie, & Kevin C. Glenn. (1993). Spi-1: an hepatic serine protease inhibitor regulated by GH and other hormones. Molecular and Cellular Endocrinology. 98(1). 27–32. 9 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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