Alisa M. Goldstein
- Molecular Biology top 0.5%
- Oncology top 0.2%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Genetics top 1%
- Co-authors
- Margaret A. TuckerMary L. McMasterPhilip R. TaylorDilys M. ParryPorcia T. BradfordNicholas C. DracopoliChristina M. BromleyNaoko Ishibe
- Topics
- Cutaneous Melanoma Detection and Management (62 papers)Cancer Genomics and Diagnostics (53 papers)RNA modifications and cancer (27 papers)
- Cited by
- OncologyCancer ResearchDermatology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Genetics
- Partner nations
- United StatesChinaItaly
In The Last Decade
Alisa M. Goldstein
248 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 6.3k
- Oncology 4.9k
- Cancer Research 2.6k
- Pulmonary and Respiratory Medicine 2.0k
- Genetics 1.8k
Countries citing papers authored by Alisa M. Goldstein
This map shows the geographic impact of Alisa M. Goldstein'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 Alisa M. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alisa M. Goldstein more than expected).
Fields of papers citing papers by Alisa M. Goldstein
This network shows the impact of papers produced by Alisa M. Goldstein. 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 Alisa M. Goldstein. The network helps show where Alisa M. Goldstein may publish in the future.
Co-authorship network of co-authors of Alisa M. Goldstein
This figure shows the co-authorship network connecting the top 25 collaborators of Alisa M. Goldstein. A scholar is included among the top collaborators of Alisa M. Goldstein 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 Alisa M. Goldstein. Alisa M. Goldstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 29 | |
| 9 | 8 | |
| 10 | 26 | |
| 11 | 41 | |
| 12 | 51 | |
| 13 | 62 | |
| 14 | 270 | |
| 15 | 45 | |
| 16 | Environment And Genetics in Lung cancer Etiology (EAGLE): A novel population-based case-control study of lung cancer. | 1 |
| 17 | A Natural History of Melanomas and Dysplastic Nevi: An Atlas of Lesions in Melanoma-Prone Families | 6 |
| 18 | 79 | |
| 19 | 29 | |
| 20 | 2 |
About Alisa M. Goldstein
Alisa M. Goldstein is a scholar working on Cancer Research, Oncology and Dermatology, having authored 253 papers that have together received 12.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (62 papers), Cancer Genomics and Diagnostics (53 papers) and RNA modifications and cancer (27 papers). The work is most often cited by research in Oncology (4.9k citations), Cancer Research (2.6k citations) and Dermatology (1.4k citations). Alisa M. Goldstein has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Margaret A. Tucker, Mary L. McMaster, Philip R. Taylor, Dilys M. Parry, Porcia T. Bradford, Nicholas C. Dracopoli, Christina M. Bromley, Naoko Ishibe, John J. DiGiovanna and Mary C. Fraser. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Genetics.
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.