E Gabrielson
- Oncology top 10%
- Cancer Research top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Surgery
- Co-authors
- Hiroaki FujiiWilliam H. WestraDavid SidranskyGauri C. BediWayne M. KochRalph H. HrubanRajakumar AnbazhaganWenbin Zhou
- Topics
- Cancer Genomics and Diagnostics (3 papers)Genetic factors in colorectal cancer (3 papers)Pancreatic and Hepatic Oncology Research (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
E Gabrielson
9 papers receiving 619 citations
Peers
Comparison fields: 5 of 50
- Oncology 323
- Cancer Research 191
- Molecular Biology 183
- Pathology and Forensic Medicine 170
- Surgery 168
Countries citing papers authored by E Gabrielson
This map shows the geographic impact of E Gabrielson'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 E Gabrielson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Gabrielson more than expected).
Fields of papers citing papers by E Gabrielson
This network shows the impact of papers produced by E Gabrielson. 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 E Gabrielson. The network helps show where E Gabrielson may publish in the future.
Co-authorship network of co-authors of E Gabrielson
This figure shows the co-authorship network connecting the top 25 collaborators of E Gabrielson. A scholar is included among the top collaborators of E Gabrielson 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 E Gabrielson. E Gabrielson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | 14 | |
| 4 | Frequent genetic heterogeneity in the clonal evolution of gynecological carcinosarcoma and its influence on phenotypic diversity. | 107 |
| 5 | 9 | |
| 6 | Microsatellite instability is uncommon in breast cancer. | 70 |
| 7 | Genetic progression and heterogeneity in intraductal papillary-mucinous neoplasms of the pancreas. | 105 |
| 8 | Multiple head and neck tumors: evidence for a common clonal origin. | 222 |
| 9 | Genetic progression, histological grade, and allelic loss in ductal carcinoma in situ of the breast. | 89 |
About E Gabrielson
E Gabrielson is a scholar working on Otorhinolaryngology, Cancer Research and Oncology, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Otorhinolaryngology (100 citations), Cancer Research (191 citations) and Oncology (323 citations). E Gabrielson has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Hiroaki Fujii, William H. Westra, David Sidransky, Gauri C. Bedi, Wayne M. Koch, Ralph H. Hruban, Rajakumar Anbazhagan, Wenbin Zhou, Claire Marsh and S. Kasai. Their work appears in journals such as Annals of Oncology, Lung Cancer and PROTEOMICS - CLINICAL APPLICATIONS.
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.