Laura Ponting

8.7k total citations · 2 hit papers
8 papers, 2.2k citations indexed

About

Laura Ponting is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Laura Ponting has authored 8 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Laura Ponting's work include Genomics and Phylogenetic Studies (5 papers), Cancer Genomics and Diagnostics (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Laura Ponting is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Cancer Genomics and Diagnostics (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Laura Ponting collaborates with scholars based in United Kingdom, United States and Germany. Laura Ponting's co-authors include Ray Stefancsik, Simon Forbes, Mingming Jia, Peter J. Campbell, Elisabeth Dawson, Chai Yin Kok, Tisham De, Bhavana Harsha, Zbysław Sońdka and David Beare and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and PeerJ.

In The Last Decade

Laura Ponting

8 papers receiving 2.2k citations

Hit Papers

COSMIC: somatic cancer genetics at high-resolution 2016 2026 2019 2022 2016 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Ponting United Kingdom 7 1.5k 593 365 326 225 8 2.2k
Ray Stefancsik United States 12 1.4k 0.9× 578 1.0× 438 1.2× 324 1.0× 226 1.0× 14 2.1k
Loris Mularoni Spain 18 1.6k 1.1× 729 1.2× 375 1.0× 234 0.7× 172 0.8× 25 2.1k
Jakob Lovén United States 15 2.5k 1.7× 636 1.1× 365 1.0× 435 1.3× 113 0.5× 17 3.1k
Jennifer A. Byrne Australia 31 1.5k 1.0× 557 0.9× 284 0.8× 540 1.7× 280 1.2× 114 2.9k
Andrew D. Sharrocks United Kingdom 21 2.1k 1.4× 332 0.6× 198 0.5× 357 1.1× 203 0.9× 31 2.5k
Jimmy Lin United States 21 2.0k 1.3× 631 1.1× 457 1.3× 902 2.8× 125 0.6× 31 2.7k
R. Krishna Murthy Karuturi Singapore 22 2.0k 1.4× 488 0.8× 259 0.7× 302 0.9× 113 0.5× 41 2.5k
Allen W. Zhang Canada 7 1.5k 1.0× 410 0.7× 279 0.8× 306 0.9× 154 0.7× 11 2.0k
Rainer K. Brachmann United States 22 1.7k 1.2× 308 0.5× 189 0.5× 914 2.8× 213 0.9× 40 2.3k
Michael Kuziora United States 18 988 0.7× 248 0.4× 364 1.0× 284 0.9× 243 1.1× 31 1.5k

Countries citing papers authored by Laura Ponting

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ponting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ponting

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ponting. A scholar is included among the top collaborators of Laura Ponting 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 Laura Ponting. Laura Ponting 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.
Jupe, S, Nidhi Bindal, Zbysław Sońdka, et al.. (2022). Abstract 4093: COSMIC Actionability: Supporting precision oncology through Identification of actionable mutations from clinical trials databases and publications. Cancer Research. 82(12_Supplement). 4093–4093. 1 indexed citations
2.
Gramates, L. Sian, Steven J Marygold, Gilberto dos Santos, et al.. (2016). FlyBase at 25: looking to the future. Nucleic Acids Research. 45(D1). D663–D671. 393 indexed citations breakdown →
3.
Forbes, Simon, David Beare, Harry Boutselakis, et al.. (2016). COSMIC: somatic cancer genetics at high-resolution. Nucleic Acids Research. 45(D1). D777–D783. 1291 indexed citations breakdown →
4.
Forbes, Simon, David Beare, Nidhi Bindal, et al.. (2016). COSMIC: High‐Resolution Cancer Genetics Using the Catalogue of Somatic Mutations in Cancer. Current Protocols in Human Genetics. 91(1). 10.11.1–10.11.37. 111 indexed citations
5.
Cejuela, Juan Miguel, Peter McQuilton, Laura Ponting, et al.. (2014). tagtog: interactive and text-mining-assisted annotation of gene mentions in PLOS full-text articles. Database. 2014(0). bau033–bau033. 47 indexed citations
6.
Osumi-Sutherland, David, Steven J Marygold, Gillian Millburn, et al.. (2013). The Drosophila phenotype ontology. Journal of Biomedical Semantics. 4(1). 30–30. 16 indexed citations
7.
Pierre, Susan E. St., Laura Ponting, Ray Stefancsik, & Peter McQuilton. (2013). FlyBase 102—advanced approaches to interrogating FlyBase. Nucleic Acids Research. 42(D1). D780–D788. 241 indexed citations
8.
Vasilevsky, Nicole, Matthew Brush, Holly Paddock, et al.. (2013). On the reproducibility of science: unique identification of research resources in the biomedical literature. PeerJ. 1. e148–e148. 145 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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