Cath Eberlein

62 total papers · 2.8k total citations
17 papers, 257 citations indexed

About

Cath Eberlein is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Cath Eberlein has authored 17 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Cath Eberlein's work include Lung Cancer Treatments and Mutations (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and HER2/EGFR in Cancer Research (4 papers). Cath Eberlein is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and HER2/EGFR in Cancer Research (4 papers). Cath Eberlein collaborates with scholars based in United Kingdom, United States and Japan. Cath Eberlein's co-authors include Margaret H. Veldman-Jones, Simon T. Barry, Martin Braddock, Michael G. Rolf, Jon Curwen, Susan Ashton, Darren A.E. Cross, Molly A. Taylor, Matthew J. Martin and David M. Robinson and has published in prestigious journals such as Cancer Research, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Cath Eberlein

16 papers receiving 252 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cath Eberlein 161 80 52 41 29 17 257
Rik de Wijn 182 1.1× 112 1.4× 58 1.1× 52 1.3× 34 1.2× 21 321
Linda Sooman 216 1.3× 102 1.3× 40 0.8× 55 1.3× 33 1.1× 16 319
Thia St Martin 211 1.3× 71 0.9× 33 0.6× 20 0.5× 24 0.8× 12 289
Lilia Merida de Long 225 1.4× 115 1.4× 50 1.0× 68 1.7× 21 0.7× 16 317
Joshua F. Coleman 95 0.6× 139 1.7× 33 0.6× 60 1.5× 44 1.5× 18 271
Jinzhong Duanmu 101 0.6× 71 0.9× 98 1.9× 68 1.7× 28 1.0× 13 281
L. Seymour 113 0.7× 132 1.6× 35 0.7× 70 1.7× 14 0.5× 12 234
Giovanni Antico 147 0.9× 82 1.0× 40 0.8× 72 1.8× 26 0.9× 12 275
Andy Futreal 134 0.8× 87 1.1× 41 0.8× 53 1.3× 26 0.9× 10 224
Janine M. Buonato 203 1.3× 139 1.7× 56 1.1× 64 1.6× 36 1.2× 10 318

Countries citing papers authored by Cath Eberlein

Since Specialization
Citations

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

Fields of papers citing papers by Cath Eberlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cath Eberlein

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

All Works

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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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