Carol O’Hear

3.4k total citations · 1 hit paper
58 papers, 2.4k citations indexed

About

Carol O’Hear is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Carol O’Hear has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Oncology, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Genetics. Recurrent topics in Carol O’Hear's work include Cancer Immunotherapy and Biomarkers (25 papers), CAR-T cell therapy research (21 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Carol O’Hear is often cited by papers focused on Cancer Immunotherapy and Biomarkers (25 papers), CAR-T cell therapy research (21 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). Carol O’Hear collaborates with scholars based in United States, Spain and France. Carol O’Hear's co-authors include Marcella Fassò, Luciana Molinero, Indrani Sarkar, Fadi Braiteh, Leisha A. Emens, Michael S. Gordon, William Grossman, Joseph P. Eder, Jean‐Pierre Delord and Philippe A. Cassier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Carol O’Hear

58 papers receiving 2.4k citations

Hit Papers

Long-term Clinical Outcomes and Biomarker Analyses of Ate... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Carol O’Hear
Comparison fields: 5 of 70
  • Oncology 2.1k
  • Immunology 718
  • Pulmonary and Respiratory Medicine 680
  • Molecular Biology 378
  • Pathology and Forensic Medicine 332
Replace Marcella Fassò with:
Marcella Fassò United States
Elizabeth Stankevich United States
Ariel E. Marciscano United States
Jamie Honeychurch United Kingdom
Hanane Ouakrim France
Emma C. Scott United States
Deepika Cattry United States
Petros Nikolinakos United States
Ani Sarkis Balmanoukian United States
Alison Klein United States
Marcella Fassò United States View profile →
Citations per field, relative to Carol O’Hear
Carol O’Hear · 1×
Citations per year, relative to Carol O’Hear
Carol O’Hear · 1×

Countries citing papers authored by Carol O’Hear

Since Specialization
Citations

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

Fields of papers citing papers by Carol O’Hear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol O’Hear. 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 Carol O’Hear. The network helps show where Carol O’Hear may publish in the future.

Co-authorship network of co-authors of Carol O’Hear

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 54
2 37
3 27
4 6
5 17
6 58
7 101
8 26
9 132
10 107
11 112
12 92
13 21
14 11
15 3
16 36
17 2
18 11
19 87
20 1

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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