Sara M. Haserlat
- Pulmonary and Respiratory Medicine top 0.1%
- Oncology top 0.2%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Daniel A. HaberDaphne W. BellRoss A. OkimotoPatricia L. HarrisBrian W. BranniganThomas J. LynchJeff SettlemanFrank G. Haluska
- Topics
- Lung Cancer Treatments and Mutations (4 papers)HER2/EGFR in Cancer Research (3 papers)Genetic factors in colorectal cancer (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Sara M. Haserlat
10 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Pulmonary and Respiratory Medicine 7.0k
- Oncology 6.2k
- Molecular Biology 3.7k
- Cancer Research 2.3k
- Radiology, Nuclear Medicine and Imaging 636
Countries citing papers authored by Sara M. Haserlat
This map shows the geographic impact of Sara M. Haserlat'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 Sara M. Haserlat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara M. Haserlat more than expected).
Fields of papers citing papers by Sara M. Haserlat
This network shows the impact of papers produced by Sara M. Haserlat. 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 Sara M. Haserlat. The network helps show where Sara M. Haserlat may publish in the future.
Co-authorship network of co-authors of Sara M. Haserlat
This figure shows the co-authorship network connecting the top 25 collaborators of Sara M. Haserlat. A scholar is included among the top collaborators of Sara M. Haserlat 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 Sara M. Haserlat. Sara M. Haserlat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 71 | |
| 5 | 59 | |
| 6 | 32 | |
| 7 | 133 | |
| 8 | 104 | |
| 9 | Epidermal Growth Factor Receptor Mutations and Gene Amplification in Non–Small-Cell Lung Cancer: Molecular Analysis of the IDEAL/INTACT Gefitinib Trialsbreakdown → | 518 |
| 10 | Activating Mutations in the Epidermal Growth Factor Receptor Underlying Responsiveness of Non–Small-Cell Lung Cancer to Gefitinibbreakdown → | 8906 |
About Sara M. Haserlat
Sara M. Haserlat is a scholar working on Physiology, Oncology and Hematology, having authored 10 papers that have together received 9.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), HER2/EGFR in Cancer Research (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Oncology (6.2k citations), Pulmonary and Respiratory Medicine (7.0k citations) and Cancer Research (2.3k citations). Sara M. Haserlat has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Daniel A. Haber, Daphne W. Bell, Ross A. Okimoto, Patricia L. Harris, Brian W. Brannigan, Thomas J. Lynch, Jeff Settleman, Frank G. Haluska, Jeffrey G. Supko and David C. Christiani. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.