Laurel A. Habel
- Oncology top 0.5%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Surgery top 1%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Charles P. QuesenberrySusan M. GapsturDavid M. HarlanEdward L. GiovannucciMichaël PollakRichard M. BergenstalDouglas YeeMichael C. Archer
- Topics
- Breast Cancer Treatment Studies (51 papers)Global Cancer Incidence and Screening (38 papers)Cancer Risks and Factors (33 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Laurel A. Habel
195 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Oncology 3.7k
- Molecular Biology 3.2k
- Cancer Research 2.6k
- Surgery 2.0k
- Pulmonary and Respiratory Medicine 1.8k
Countries citing papers authored by Laurel A. Habel
This map shows the geographic impact of Laurel A. Habel'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 Laurel A. Habel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel A. Habel more than expected).
Fields of papers citing papers by Laurel A. Habel
This network shows the impact of papers produced by Laurel A. Habel. 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 Laurel A. Habel. The network helps show where Laurel A. Habel may publish in the future.
Co-authorship network of co-authors of Laurel A. Habel
This figure shows the co-authorship network connecting the top 25 collaborators of Laurel A. Habel. A scholar is included among the top collaborators of Laurel A. Habel 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 Laurel A. Habel. Laurel A. Habel 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 | 1 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 42 | |
| 14 | Breast cancer multigene testing trends and impact on chemotherapy use. | 14 |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 94 | |
| 18 | 80 | |
| 19 | Utilization of HER2 genetic testing in a multi-institutional observational study. | 12 |
| 20 | 43 |
About Laurel A. Habel
Laurel A. Habel is a scholar working on Cancer Research, Oncology and Family Practice, having authored 200 papers that have together received 9.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (51 papers), Global Cancer Incidence and Screening (38 papers) and Cancer Risks and Factors (33 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (3.7k citations) and Endocrinology, Diabetes and Metabolism (1.4k citations). Laurel A. Habel has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Charles P. Quesenberry, Susan M. Gapstur, David M. Harlan, Edward L. Giovannucci, Michaël Pollak, Richard M. Bergenstal, Douglas Yee, Michael C. Archer, Judith G. Regensteiner and Theodore R. Levin. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Communications.
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.