Laura Esserman
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine top 10%
- Co-authors
- Nola M. HyltonRobert A. HiattMartin C. TammemägiWilliam A. SatarianoDan H. MooreJeffrey BelkoraDulcy WolvertonKarla Kerlikowske
- Topics
- Cancer Genomics and Diagnostics (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (6 papers)
- Journals
- New England Journal of MedicineJournal of Clinical OncologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Laura Esserman
27 papers receiving 876 citations
Peers
Comparison fields: 5 of 81
- Oncology 511
- Radiology, Nuclear Medicine and Imaging 267
- Cancer Research 249
- Pulmonary and Respiratory Medicine 137
- Pathology and Forensic Medicine 120
Countries citing papers authored by Laura Esserman
This map shows the geographic impact of Laura Esserman'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 Esserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Esserman more than expected).
Fields of papers citing papers by Laura Esserman
This network shows the impact of papers produced by Laura Esserman. 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 Esserman. The network helps show where Laura Esserman may publish in the future.
Co-authorship network of co-authors of Laura Esserman
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Esserman. A scholar is included among the top collaborators of Laura Esserman 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 Esserman. Laura Esserman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 158 | |
| 12 | DNA repair deficiency biomarkers and identification of ER-positive breast cancer patients who may benefit from veliparib/carboplatin: Results from the I-SPY 2 trial. | 1 |
| 13 | 7 | |
| 14 | 113 | |
| 15 | 15 | |
| 16 | 32 | |
| 17 | 36 | |
| 18 | 175 | |
| 19 | 122 | |
| 20 | 20 |
About Laura Esserman
Laura Esserman is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 909 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (6 papers). The work is most often cited by research in Oncology (511 citations), Cancer Research (249 citations) and Radiology, Nuclear Medicine and Imaging (267 citations). Laura Esserman has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Nola M. Hylton, Robert A. Hiatt, Martin C. Tammemägi, William A. Satariano, Dan H. Moore, Jeffrey Belkora, Dulcy Wolverton, Karla Kerlikowske, Michael Liebman and Ying Lü. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.
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.