Mark Effingham

10.0k total citations · 1 hit paper
7 papers, 4.6k citations indexed

About

Mark Effingham is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Mark Effingham has authored 7 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Mark Effingham's work include Genetic Associations and Epidemiology (4 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Mark Effingham is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Mark Effingham collaborates with scholars based in United Kingdom, United States and Australia. Mark Effingham's co-authors include Naomi E. Allen, Stephen Leslie, Gavin Band, Colin Freeman, A. P. Young, Olivier Delaneau, Jonathan Marchini, Allan Motyer, Desislava Petkova and Kevin Sharp and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mark Effingham

7 papers receiving 4.5k 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 UK Biobank resource with deep phenotyping and genomic data

2018 4.4k citations Clare Bycroft, Colin Freeman et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Effingham United Kingdom	5	2.2k	1.2k	473	467	403	7	4.6k
Gavin Band United Kingdom	7	2.7k 1.2×	1.3k 1.1×	460 1.0×	460 1.0×	404 1.0×	10	5.0k
Jared O’Connell United Kingdom	9	2.4k 1.1×	1.3k 1.1×	464 1.0×	457 1.0×	381 0.9×	13	4.8k
Allan Motyer Australia	7	2.2k 1.0×	1.2k 1.0×	463 1.0×	467 1.0×	376 0.9×	17	4.5k
Lloyd T. Elliott Canada	10	2.5k 1.1×	1.4k 1.2×	486 1.0×	547 1.2×	392 1.0×	25	5.4k
Samantha Welsh United Kingdom	2	2.2k 1.0×	1.2k 1.0×	458 1.0×	459 1.0×	377 0.9×	5	4.5k
Clare Bycroft United Kingdom	4	2.5k 1.1×	1.7k 1.4×	478 1.0×	469 1.0×	391 1.0×	4	5.2k
Kevin Sharp United States	11	2.7k 1.2×	1.5k 1.3×	487 1.0×	539 1.2×	401 1.0×	17	5.4k
Adrián Cortés United Kingdom	19	2.6k 1.2×	1.7k 1.4×	595 1.3×	515 1.1×	404 1.0×	30	6.0k
Valeriia Haberland United Kingdom	5	2.2k 1.0×	1.2k 1.0×	697 1.5×	591 1.3×	322 0.8×	8	4.5k
Vanessa Y. Tan United Kingdom	8	2.3k 1.0×	1.3k 1.0×	713 1.5×	617 1.3×	361 0.9×	13	4.7k

Countries citing papers authored by Mark Effingham

Since Specialization

Citations

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

Fields of papers citing papers by Mark Effingham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Effingham

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Effingham. A scholar is included among the top collaborators of Mark Effingham 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 Mark Effingham. Mark Effingham 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:

7 of 7 papers shown

1.

Stark, Zornitza, David Glazer, Oliver Hofmann, et al.. (2024). A call to action to scale up research and clinical genomic data sharing. Nature Reviews Genetics. 26(2). 141–147. 16 indexed citations

2.

Feng, Qi, Ben Lacey, Jelena Bešević, et al.. (2023). UK biobank: Enhanced assessment of the epidemiology and long-term impact of coronavirus disease-2019. SHILAP Revista de lepidopterología. 1. e30–e30. 1 indexed citations

3.

Deflaux, Nicole, Margaret Sunitha Selvaraj, Kelsey Mayo, et al.. (2023). Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis. Nature Communications. 14(1). 5419–5419. 10 indexed citations

4.

Holliday, Jo, Nicola Doherty, N.C. Wood, et al.. (2023). Social determinants of ethnic disparities in SARS-CoV-2 infection: UK Biobank SARS-CoV-2 Serology Study. Journal of Epidemiology & Community Health. 78(1). 3–10. 1 indexed citations

5.

Conroy, Megan, Ben Lacey, Jelena Bešević, et al.. (2022). UK Biobank: a globally important resource for cancer research. British Journal of Cancer. 128(4). 519–527. 70 indexed citations

6.

Conroy, Megan, Jonathan Sellors, Mark Effingham, et al.. (2019). The advantages of UK Biobank's open‐access strategy for health research. Journal of Internal Medicine. 286(4). 389–397. 63 indexed citations

7.

Bycroft, Clare, Colin Freeman, Desislava Petkova, et al.. (2018). The UK Biobank resource with deep phenotyping and genomic data. Nature. 562(7726). 203–209. 4399 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.

Explore authors with similar magnitude of impact