Leo Brady

2.1k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Leo Brady is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Leo Brady has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Organic Chemistry. Recurrent topics in Leo Brady's work include Protein Structure and Dynamics (2 papers), HIV/AIDS drug development and treatment (2 papers) and Enzyme Structure and Function (2 papers). Leo Brady is often cited by papers focused on Protein Structure and Dynamics (2 papers), HIV/AIDS drug development and treatment (2 papers) and Enzyme Structure and Function (2 papers). Leo Brady collaborates with scholars based in United Kingdom, United States and Denmark. Leo Brady's co-authors include Guy Dodson, Zygmunt S. Derewenda, A.M. Brzozowski, E.J. Dodson, J.P. Turkenburg, Ulrich Menge, Lars Thim, Lars Christiansen, Shirley P. Tolley and L. Thim and has published in prestigious journals such as Nature, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Leo Brady

8 papers receiving 1.6k citations

Hit Papers

A serine protease triad forms the catalytic centre of a t... 1990 2026 2002 2014 1990 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Brady United Kingdom 8 1.2k 366 210 176 168 8 1.7k
Arturo Rojo-Domı́nguez Mexico 21 791 0.6× 295 0.8× 78 0.4× 261 1.5× 49 0.3× 78 1.6k
W.Y. Jeng Taiwan 21 1.2k 0.9× 329 0.9× 32 0.2× 146 0.8× 65 0.4× 40 1.7k
Emilio Fernández Álvarez Spain 25 1.2k 1.0× 203 0.6× 49 0.2× 48 0.3× 466 2.8× 53 2.1k
Demin Zhou China 31 1.5k 1.2× 105 0.3× 131 0.6× 112 0.6× 44 0.3× 90 2.7k
K.H. Kalk Netherlands 13 1.2k 0.9× 171 0.5× 44 0.2× 255 1.4× 40 0.2× 17 1.6k
Renate Ulbrich‐Hofmann Germany 28 1.8k 1.4× 268 0.7× 125 0.6× 324 1.8× 17 0.1× 102 2.1k
Laura Ragona Italy 26 1.3k 1.0× 167 0.5× 122 0.6× 225 1.3× 22 0.1× 85 2.1k
John M. Ndungu United States 14 2.1k 1.7× 224 0.6× 29 0.1× 49 0.3× 150 0.9× 20 2.5k
Mogens Trier Hansen Denmark 18 2.3k 1.9× 333 0.9× 303 1.4× 150 0.9× 16 0.1× 23 2.9k
Gregory Mooser United States 14 549 0.4× 324 0.9× 52 0.2× 33 0.2× 72 0.4× 23 1.1k

Countries citing papers authored by Leo Brady

Since Specialization
Citations

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

Fields of papers citing papers by Leo Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Brady

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

All Works

8 of 8 papers shown
1.
Dawbarn, D., Michael Fahey, Judy J. Watson, et al.. (2006). NGF receptor TrkAd5: therapeutic agent and drug design target. Biochemical Society Transactions. 34(4). 587–590. 11 indexed citations
2.
Uhlemann, Anne‐Catrin, Angus Cameron, Ursula Eckstein‐Ludwig, et al.. (2005). A single amino acid residue can determine the sensitivity of SERCAs to artemisinins. Nature Structural & Molecular Biology. 12(7). 628–629. 193 indexed citations
3.
Liebeschuetz, John W., Stuart Jones, Christopher W. Murray, et al.. (2002). PRO_SELECT:  Combining Structure-Based Drug Design and Array-Based Chemistry for Rapid Lead Discovery. 2. The Development of a Series of Highly Potent and Selective Factor Xa Inhibitors. Journal of Medicinal Chemistry. 45(6). 1221–1232. 66 indexed citations
4.
Jones, Stuart, John W. Liebeschuetz, Christopher W. Murray, et al.. (2001). The design of phenylglycine containing benzamidine carboxamides as potent and selective inhibitors of factor Xa. Bioorganic & Medicinal Chemistry Letters. 11(5). 733–736. 20 indexed citations
5.
Thomas, Mark & Leo Brady. (1997). Hiv integrase: a target for aids therapeutics. Trends in biotechnology. 15(5). 167–172. 33 indexed citations
6.
Brady, Leo, Zygmunt S. Derewenda, E.J. Dodson, et al.. (1991). Structure and molecular model refinement of Aspergillus oryzae (TAKA) α-amylase: an application of the simulated-annealing method. Acta Crystallographica Section B Structural Science. 47(4). 535–544. 92 indexed citations
7.
Boel, Esper, Leo Brady, A.M. Brzozowski, et al.. (1990). Calcium binding in .alpha.-amylases: an x-ray diffraction study at 2.1-.ANG. resolution of two enzymes from Aspergillus. Biochemistry. 29(26). 6244–6249. 269 indexed citations
8.
Brady, Leo, A.M. Brzozowski, Zygmunt S. Derewenda, et al.. (1990). A serine protease triad forms the catalytic centre of a triacylglycerol lipase. Nature. 343(6260). 767–770. 1020 indexed citations breakdown →

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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