Lora Mak

3.9k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Lora Mak is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Lora Mak has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Lora Mak's work include Computational Drug Discovery Methods (5 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Lora Mak is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bioinformatics and Genomic Networks (2 papers). Lora Mak collaborates with scholars based in United Kingdom, Netherlands and United States. Lora Mak's co-authors include Mark Davies, George Papadatos, Yvonne Light, Anne Hersey, Michał Nowotka, John P. Overington, Rita Santos, A. Patrícia Bento, Louisa J. Bellis and Anna Gaulton and has published in prestigious journals such as Nucleic Acids Research, Molecular Plant-Microbe Interactions and Current Pharmaceutical Design.

In The Last Decade

Lora Mak

6 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The ChEMBL bioactivity database: an update

2013 1.1k citations A. Patrícia Bento, Anna Gaulton et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lora Mak United Kingdom	5	836	829	222	179	135	6	1.2k
Felix Krüger United Kingdom	8	970 1.2×	1.2k 1.4×	216 1.0×	216 1.2×	146 1.1×	11	1.9k
Brian Clarke United Kingdom	3	862 1.0×	933 1.1×	211 1.0×	160 0.9×	264 2.0×	7	1.4k
Michael Baitaluk United States	9	761 0.9×	918 1.1×	177 0.8×	164 0.9×	95 0.7×	11	1.3k
George Nicola United States	13	868 1.0×	1.1k 1.3×	255 1.1×	217 1.2×	163 1.2×	22	1.6k
J. Xiao United States	3	864 1.0×	1.0k 1.2×	152 0.7×	187 1.0×	109 0.8×	6	1.5k
Janez Konc Slovenia	24	691 0.8×	1.2k 1.4×	278 1.3×	203 1.1×	225 1.7×	74	1.8k
Tanja Schulz‐Gasch Switzerland	17	703 0.8×	1.2k 1.5×	237 1.1×	250 1.4×	268 2.0×	27	1.7k
Eugen Lounkine Germany	17	1.2k 1.4×	1.0k 1.2×	175 0.8×	348 1.9×	170 1.3×	37	1.6k
X. Wen China	5	1.1k 1.3×	1.1k 1.3×	172 0.8×	250 1.4×	187 1.4×	8	1.6k

Countries citing papers authored by Lora Mak

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lora Mak

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Mak, Lora, David Marcus, Guus Duchateau, et al.. (2015). Metrabase: a cheminformatics and bioinformatics database for small molecule transporter data analysis and (Q)SAR modeling. Journal of Cheminformatics. 7(1). 31–31. 46 indexed citations

2.

Bento, A. Patrícia, Anna Gaulton, Anne Hersey, et al.. (2013). The ChEMBL bioactivity database: an update. Nucleic Acids Research. 42(D1). D1083–D1090. 1117 indexed citations breakdown →

3.

Mak, Lora, Sonia Liggi, Lu Tan, et al.. (2012). Anti-cancer Drug Development: Computational Strategies to Identify and Target Proteins Involved in Cancer Metabolism. Current Pharmaceutical Design. 19(4). 532–577. 24 indexed citations

4.

Mak, Lora, Sonia Liggi, Lu Tan, et al.. (2012). Anti-cancer Drug Development: Computational Strategies to Identify and Target Proteins Involved in Cancer Metabolism. Current Pharmaceutical Design. 19(4). 532–577. 2 indexed citations

5.

Mak, Lora, Scott Grandison, & Richard J. Morris. (2007). An extension of spherical harmonics to region-based rotationally invariant descriptors for molecular shape description and comparison. Journal of Molecular Graphics and Modelling. 26(7). 1035–1045. 47 indexed citations

6.

Shanks, Michael, et al.. (2005). Epitope Tagging of Legume Root Nodule Extensin Modifies Protein Structure and Crosslinking in Cell Walls of Transformed Tobacco Leaves. Molecular Plant-Microbe Interactions. 18(1). 24–32. 12 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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