Lora Mak
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
-
- Computational Drug Discovery Methods 6
-
- Enzyme Structure and Function 7
- Co-authors
- Michał Nowotka (1 shared paper)George Papadatos (1 shared paper)Louisa J. Bellis (1 shared paper)Jon K. Chambers (1 shared paper)A. Patrícia Bento (1 shared paper)Felix Alexander Krüger (1 shared paper)Anna Gaulton (1 shared paper)Mark Davies (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Current Pharmaceutical Design (3 papers)Structure (2 papers)Journal of Cheminformatics (1 paper)Molecular Plant-Microbe Interactions (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Lora Mak
15 papers receiving 2.9k citations
Lora Mak's Hit Papers
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 1.0k
- Structural Biology 65
- Molecular Biology 567
- Materials Chemistry 348
- Spectroscopy 25
Countries citing papers authored by Lora Mak
This map shows the geographic impact of Lora Mak'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 Lora Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora Mak more than expected).
Fields of papers citing papers by Lora Mak
This network shows the impact of papers produced by Lora Mak. 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 Lora Mak. The network helps show where Lora Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside Lora Mak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The ChEMBL bioactivity database: an update Hit paper breakdown → | 2013 | 1244 |
| 2 | Protein Data Bank: the single global archive for 3D macromolecular structure data Hit paper breakdown → | 2018 | 839 |
| 3 | 2017 | 216 | |
| 4 | 2019 | 158 | |
| 5 | 2017 | 122 | |
| 6 | 2015 | 120 | |
| 7 | 2017 | 72 | |
| 8 | 2007 | 54 | |
| 9 | 2019 | 51 | |
| 10 | 2015 | 50 | |
| 11 | 2018 | 48 | |
| 12 | 2012 | 27 | |
| 13 | 2005 | 12 | |
| 14 | 2009 | 5 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 0 |
About Lora Mak
Lora Mak is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (6 papers) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Structural Biology (65 citations), Molecular Biology (567 citations), Materials Chemistry (348 citations) and Spectroscopy (25 citations). Lora Mak has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Michał Nowotka, George Papadatos, Louisa J. Bellis, Jon K. Chambers, A. Patrícia Bento, Felix Alexander Krüger, Anna Gaulton, Mark Davies, Rita Santos and Yvonne Light. Their work appears in journals such as Nucleic Acids Research, Current Pharmaceutical Design, Structure, Journal of Cheminformatics and Molecular Plant-Microbe Interactions.
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.