PICO Portalanswers from OpenAlex & ORCID
Helena Earl
ResearcherPublications, citations & collaboration network
Helena Earl is a researcher indexed in PICO Portal from OpenAlex & ORCID.
How many works does Helena Earl have?
PICO Portalindexed works
Helena Earl has 361 works in the PICO Portal index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Helena Earl have?
PICO Portalcitation count
Helena Earl has 17,288 citations in the OpenAlex counts PICO Portal stores.
What is the h-index of Helena Earl?
PICO Portalh-index
Helena Earl has an h-index of 61 in OpenAlex.
What is the i10-index of Helena Earl?
PICO Portali10-index
Helena Earl has an i10-index of 163 in OpenAlex.
What is the ORCID of Helena Earl?
PICO Portalorcid
The ORCID for Helena Earl is on the source record.
What is the OpenAlex record for Helena Earl?
PICO Portalopenalex
The OpenAlex for Helena Earl is on the source record.
What are the most-cited papers on Helena Earl?
PICO Portalmost cited works
The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes
Bernard Pereira, Suet‐Feung Chin, Oscar M. Rueda, Hans-Kristian Moen Vollan, Elena Provenzano, Helen Bardwell, Michelle Pugh, Linda Jones, Roslin Russell, Stephen‐John Sammut, Dana W.Y. Tsui, Bin Liu, Sarah‐Jane Dawson, Jean Abraham, Helen Northen, John F. Peden, Abhik Mukherjee, Gulisa Turashvili, Andrew R. Green, Steve McKinney, Arusha Oloumi, Sohrab P. Shah, Nitzan Rosenfeld, Leigh C. Murphy, David Bentley, Ian O. Ellis, Arnie Purushotham, Sarah E. Pinder, Anne‐Lise Børresen‐Dale, Helena Earl, Paul D.P. Pharoah, Mark T. Ross, Samuel Aparício, Carlos Caldas
Baseline Cardiovascular Risk Assessment in Cancer Patients Scheduled to Receive Cardiotoxic Cancer Therapies: A Position Statement and New Risk Assessment Tools from the Cardio-Oncology Study Group of the Heart Failure Association of the European Society of Cardiology in Collaboration with the International Cardio-Oncology Society
Alexander R. Lyon, Susan Dent, Susannah Stanway, Helena Earl, Christine Brezden‐Masley, Alain Cohen‐Solal, Carlo G. Tocchetti, Javid J. Moslehi, John D. Groarke, Jutta Bergler‐Klein, Vincent Khoo, Li Ling Tan, Markus S. Anker, Stephan von Haehling, Christoph Maack, Radek Pudil, Ana Barac, Paaladinesh Thavendiranathan, Bonnie Ky, Tomas G. Neilan, Yu. N. Belenkov, Stuart D. Rosen, Zaza Iakobishvili, Aaron L. Sverdlov, Ludhmila Abrahão Hajjar, Ariane Vieira Scarlatelli Macedo, Charlotte Manisty, Fortunato Ciardiello, Dimitrios Farmakis, Rudolf A. de Boer, Hadi Skouri, Thomas Suter, Daniela Cardinale, Ronald Witteles, Michael G. Fradley, Joerg Herrmann, Robert F. Cornell, Ashutosh Wechelaker, Michael J. Mauro, Dragana Milojković, Hugues de Lavallade, Frank Ruschitzka, Andrew J.S. Coats, Petar Seferović, Ovidiu Chioncel, Thomas Thum, Johann Bauersachs, María Sol Andrés, David J. Wright, Teresa López‐Fernández, Chris Plummer, Daniel J. Lenihan
Multi-omic machine learning predictor of breast cancer therapy response
Stephen‐John Sammut, Mireia Crispin‐Ortuzar, Suet‐Feung Chin, Elena Provenzano, Helen Bardwell, Wenxin Ma, Wei Cope, A. Dariush, Sarah‐Jane Dawson, Jean Abraham, Janet Dunn, Louise Hiller, Jeremy Thomas, David Cameron, John M.S. Bartlett, Larry Hayward, Paul D.P. Pharoah, Florian Markowetz, Oscar M. Rueda, Helena Earl, Carlos Caldas