Matthew Eldridge

23.4k total citations · 1 hit paper
35 papers, 3.4k citations indexed

About

Matthew Eldridge is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Matthew Eldridge has authored 35 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Materials Chemistry. Recurrent topics in Matthew Eldridge's work include Cancer Genomics and Diagnostics (10 papers), Esophageal Cancer Research and Treatment (5 papers) and Phase Equilibria and Thermodynamics (5 papers). Matthew Eldridge is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Esophageal Cancer Research and Treatment (5 papers) and Phase Equilibria and Thermodynamics (5 papers). Matthew Eldridge collaborates with scholars based in United Kingdom, Netherlands and United States. Matthew Eldridge's co-authors include Christopher W. Murray, T.R. Auton, Gaia V. Paolini, Daan Frenkel, P. A. Madden, David R. Westhead, David E. Clark, Jason S. Carroll, Roslin Russell and Dominic Schmidt and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Matthew Eldridge

34 papers receiving 3.3k 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.

Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes

1997 1.4k citations Matthew Eldridge, Christopher W. Murray et al. Journal of Computer-Aided Molecular Design profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Eldridge United Kingdom	19	2.1k	1.0k	711	507	367	35	3.4k
Sheng‐You Huang China	34	4.3k 2.1×	1.8k 1.8×	848 1.2×	385 0.8×	308 0.8×	116	6.0k
Robert C. Rizzo United States	30	2.7k 1.3×	1.3k 1.2×	566 0.8×	695 1.4×	355 1.0×	63	4.6k
Lillian T. Chong United States	24	4.6k 2.2×	1.2k 1.1×	880 1.2×	615 1.2×	528 1.4×	58	6.3k
Paul Czodrowski Germany	21	2.5k 1.2×	1.3k 1.2×	738 1.0×	318 0.6×	305 0.8×	41	4.2k
Shuanghong Huo United States	21	4.0k 1.9×	1.1k 1.1×	712 1.0×	611 1.2×	488 1.3×	42	5.5k
F. von Delft United Kingdom	41	3.9k 1.9×	601 0.6×	908 1.3×	404 0.8×	716 2.0×	121	5.3k
Gennady M. Verkhivker United States	39	3.7k 1.8×	1.8k 1.7×	746 1.0×	382 0.8×	284 0.8×	169	4.8k
Fuqiang Ban Canada	28	1.6k 0.8×	1.4k 1.3×	459 0.6×	441 0.9×	173 0.5×	64	3.0k
Ting Ran China	19	4.1k 2.0×	653 0.6×	706 1.0×	428 0.8×	376 1.0×	60	5.7k
Carlos J. Camacho United States	39	4.9k 2.4×	1.7k 1.6×	1.5k 2.2×	561 1.1×	585 1.6×	119	6.8k

Countries citing papers authored by Matthew Eldridge

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Eldridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Eldridge

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

All Works

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20 of 20 papers shown

Lourenço, Filipe C., Kim Wong, Ashley Sawle, et al.. (2025). Decay of driver mutations shapes the landscape of intestinal transformation. Nature. 649(8097). 729–738.

Rose, Susanna F, Marcel Gehrung, Sanjeev Kumar, et al.. (2024). ZMIZ1 enhances ERα-dependent expression of E2F2 in breast cancer. Journal of Molecular Endocrinology. 73(1). 4 indexed citations

Sawle, Ashley, Dominique‐Laurent Couturier, Matthew Eldridge, et al.. (2024). Polyclonality overcomes fitness barriers in Apc-driven tumorigenesis. Nature. 634(8036). 1196–1203. 10 indexed citations

Howarth, Karen, Susanna L. Cooke, Suet‐Feung Chin, et al.. (2021). NRG1 fusions in breast cancer. Breast Cancer Research. 23(1). 3–3. 17 indexed citations

Killcoyne, Sarah, David C. Wedge, Dan J. Woodcock, et al.. (2020). Genomic copy number predicts esophageal cancer years before transformation. Nature Medicine. 26(11). 1726–1732. 77 indexed citations

Perner, Juliane, Sujath Abbas, Karol Nowicki-Osuch, et al.. (2020). The mutREAD method detects mutational signatures from low quantities of cancer DNA. Nature Communications. 11(1). 3166–3166. 6 indexed citations

Bornschein, Jan, Lorenz Wernisch, Maria Secrier, et al.. (2019). Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction. International Journal of Cancer. 145(12). 3389–3401. 14 indexed citations

Dokshin, Gregoriy A., Gregory M. Davis, Ashley Sawle, et al.. (2019). GCNA Interacts with Spartan and Topoisomerase II to Regulate Genome Stability. Developmental Cell. 52(1). 53–68.e6. 43 indexed citations

Papachristou, Evangelia K., Kamal Kishore, Andrew N. Holding, et al.. (2018). A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein complexes. Nature Communications. 9(1). 2311–2311. 84 indexed citations

10.

Noorani, Ayesha, Jan Bornschein, Andy G. Lynch, et al.. (2017). A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy. Genome Research. 27(6). 902–912. 19 indexed citations

11.

Harewood, Louise, Kamal Kishore, Matthew Eldridge, et al.. (2017). Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours. Genome biology. 18(1). 125–125. 111 indexed citations

12.

Perner, Juliane, Xiaodun Li, Martyn F. Symmons, et al.. (2017). Impact of mutations in Toll-like receptor pathway genes on esophageal carcinogenesis. PLoS Genetics. 13(5). e1006808–e1006808. 15 indexed citations

13.

Paterson, Anna, Jamie Weaver, Matthew Eldridge, et al.. (2015). Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis. BMC Genomics. 16(1). 473–473. 13 indexed citations

14.

Ennis, Darren, Geoff Macintyre, Teodora Goranova, et al.. (2015). Methanol-based fixation is superior to buffered formalin for next-generation sequencing of DNA from clinical cancer samples. Annals of Oncology. 27(3). 532–539. 24 indexed citations

15.

Hadfield, James & Matthew Eldridge. (2014). Multi-genome alignment for quality control and contamination screening of next-generation sequencing data. Frontiers in Genetics. 5. 31–31. 18 indexed citations

16.

March, H. Nikki, Alistair G. Rust, Nicholas A. Wright, et al.. (2011). Insertional mutagenesis identifies multiple networks of cooperating genes driving intestinal tumorigenesis. Nature Genetics. 43(12). 1202–1209. 152 indexed citations

17.

Ross-Innes, Caryn S., Rory Stark, Kelly A. Holmes, et al.. (2010). Cooperative interaction between retinoic acid receptor-α and estrogen receptor in breast cancer. Genes & Development. 24(2). 171–182. 216 indexed citations

18.

Helden, Jacques van, Renato Mancuso, Matthew Eldridge, et al.. (2000). Representing and Analysing Molecular and Cellular Function Using the Computer. Biological Chemistry. 381(9-10). 921–35. 71 indexed citations

19.

Murray, Christopher W., T.R. Auton, & Matthew Eldridge. (1998). Empirical scoring functions. II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model. Journal of Computer-Aided Molecular Design. 12(5). 503–519. 101 indexed citations

20.

Eldridge, Matthew, et al.. (1997). Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes. Journal of Computer-Aided Molecular Design. 11(5). 425–445. 1401 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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