James Damewood

841 total citations
16 papers, 511 citations indexed

About

James Damewood is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, James Damewood has authored 16 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Computational Theory and Mathematics. Recurrent topics in James Damewood's work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Cell Adhesion Molecules Research (4 papers). James Damewood is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Cell Adhesion Molecules Research (4 papers). James Damewood collaborates with scholars based in United States, Sweden and Italy. James Damewood's co-authors include Rafael Gómez‐Bombarelli, Peter R Bernstein, Daniel Schwalbe‐Koda, Bruce Gomes, Chris A. Veale, Simon Axelrod, Somesh Mohapatra, Kevin P. Greenman, Jiayu Peng and Philip D. Edwards and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Drug Discovery Today.

In The Last Decade

James Damewood

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Damewood United States 12 160 145 139 79 51 16 511
Salvatore Valenti Italy 17 157 1.0× 254 1.8× 49 0.4× 26 0.3× 66 1.3× 19 473
Lenka Žáková Czechia 19 729 4.6× 137 0.9× 100 0.7× 22 0.3× 37 0.7× 47 983
Andrew J. Lampkins United States 11 239 1.5× 137 0.9× 107 0.8× 22 0.3× 17 0.3× 16 642
Michael Beck United States 16 202 1.3× 127 0.9× 94 0.7× 75 0.9× 24 0.5× 34 907
Isamu Sugimoto Japan 16 252 1.6× 264 1.8× 78 0.6× 11 0.1× 40 0.8× 51 744
Fengrong Xu China 15 203 1.3× 176 1.2× 53 0.4× 54 0.7× 15 0.3× 32 456
Edward R. Bacon United States 18 321 2.0× 453 3.1× 75 0.5× 25 0.3× 38 0.7× 57 988
Stefano Motta Italy 16 280 1.8× 33 0.2× 97 0.7× 79 1.0× 24 0.5× 33 547
Mei Lee Singapore 13 264 1.6× 38 0.3× 99 0.7× 19 0.2× 13 0.3× 28 591
Barbara Stopa Poland 18 448 2.8× 112 0.8× 156 1.1× 67 0.8× 32 0.6× 46 795

Countries citing papers authored by James Damewood

Since Specialization
Citations

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

Fields of papers citing papers by James Damewood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Damewood. 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 James Damewood. The network helps show where James Damewood may publish in the future.

Co-authorship network of co-authors of James Damewood

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

All Works

16 of 16 papers shown
1.
Peng, Jiayu, James Damewood, & Rafael Gómez‐Bombarelli. (2024). Data-driven physics-informed descriptors of cation ordering in multicomponent perovskite oxides. Cell Reports Physical Science. 5(5). 101942–101942. 9 indexed citations
2.
Damewood, James, et al.. (2023). Representations of Materials for Machine Learning. Annual Review of Materials Research. 53(1). 399–426. 68 indexed citations
3.
Axelrod, Simon, Daniel Schwalbe‐Koda, Somesh Mohapatra, et al.. (2022). Learning Matter: Materials Design with Machine Learning and Atomistic Simulations. Accounts of Materials Research. 3(3). 343–357. 80 indexed citations
4.
Damewood, James, Daniel Schwalbe‐Koda, & Rafael Gómez‐Bombarelli. (2022). Sampling lattices in semi-grand canonical ensemble with autoregressive machine learning. npj Computational Materials. 8(1). 4 indexed citations
5.
Barone, Linda R., Scott Boyer, James Damewood, James Fikes, & Paul J. Ciaccio. (2012). Phospholipogenic Pharmaceuticals Are Associated with a Higher Incidence of Histological Findings than Nonphospholipogenic Pharmaceuticals in Preclinical Toxicology Studies. Journal of Toxicology. 2012. 1–7. 6 indexed citations
6.
Nugiel, David A., Jennifer R. Krumrine, Daniel C. Hill, et al.. (2010). De Novo Design of a Picomolar Nonbasic 5-HT1BReceptor Antagonist. Journal of Medicinal Chemistry. 53(4). 1876–1880. 17 indexed citations
7.
Damewood, James, et al.. (2010). NovoFLAP: A Ligand-Based De Novo Design Approach for the Generation of Medicinally Relevant Ideas. Journal of Chemical Information and Modeling. 50(7). 1296–1303. 17 indexed citations
8.
Easter, Alison, James Damewood, William S. Redfern, et al.. (2009). Approaches to seizure risk assessment in preclinical drug discovery. Drug Discovery Today. 14(17-18). 876–884. 72 indexed citations
9.
Veale, Chris A., David Aharony, Debra L. Banville, et al.. (2000). The discovery of non-basic atrial natriuretic peptide clearance receptor antagonists. part 1. Bioorganic & Medicinal Chemistry Letters. 10(17). 1949–1952. 28 indexed citations
10.
11.
Jackson, Paul, Jeffrey A. McKinney, Marc J. Chapdelaine, et al.. (1995). Synthesis and biological activity of a series of 4-aryl substituted benz[b]azepines: Antagonists at the strychnine-insensitive glycine site. Bioorganic & Medicinal Chemistry Letters. 5(24). 3097–3100. 11 indexed citations
12.
13.
Damewood, James, Philip D. Edwards, Bruce Gomes, et al.. (1994). Nonpeptidic Inhibitors of Human Leukocyte Elastase. 2. Design, Synthesis, and in vitro Activity of a Series of 3-Amino-6-aryl-2-oxopyridyl Trifluoromethyl Ketones. Journal of Medicinal Chemistry. 37(20). 3303–3312. 25 indexed citations
14.
Brown, Frederick J., et al.. (1994). Design of Orally Active, Non-Peptidic Inhibitors of Human Leukocyte Elastase. Journal of Medicinal Chemistry. 37(9). 1259–1261. 36 indexed citations
15.
Bernstein, Peter R, Donald W. Andisik, Prudence K. Bradley, et al.. (1994). Nonpeptidic Inhibitors of Human Leukocyte Elastase. 3. Design, Synthesis, X-ray Crystallographic Analysis, and Structure-Activity Relationships for a Series of Orally Active 3-Amino-6-phenyl-2-pyridinyl Trifluoromethyl Ketones. Journal of Medicinal Chemistry. 37(20). 3313–3326. 46 indexed citations
16.
Cargill, Robert L., et al.. (1972). Acid-catalyzed rearrangements and additions of .beta.,.gamma.-unsaturated ketones. The Journal of Organic Chemistry. 37(1). 78–84. 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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