Rachel V. Stankowski
- Oncology top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Surgery
- Co-authors
- Jessica M. EngelAdedayo A. OnitiloSuhail A.R. DoiShereif H. RezkallaRobert A. KlonerGail WilliamsIngrid GlurichJennifer M. Hanna
- Topics
- Metabolism, Diabetes, and Cancer (7 papers)Global Cancer Incidence and Screening (6 papers)Cancer Risks and Factors (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Roentgenology
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Rachel V. Stankowski
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Oncology 448
- Molecular Biology 331
- Cardiology and Cardiovascular Medicine 315
- Cancer Research 238
- Surgery 183
Countries citing papers authored by Rachel V. Stankowski
This map shows the geographic impact of Rachel V. Stankowski'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 Rachel V. Stankowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel V. Stankowski more than expected).
Fields of papers citing papers by Rachel V. Stankowski
This network shows the impact of papers produced by Rachel V. Stankowski. 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 Rachel V. Stankowski. The network helps show where Rachel V. Stankowski may publish in the future.
Co-authorship network of co-authors of Rachel V. Stankowski
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel V. Stankowski. A scholar is included among the top collaborators of Rachel V. Stankowski 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 Rachel V. Stankowski. Rachel V. Stankowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 166 | |
| 3 | 5 | |
| 4 | 55 | |
| 5 | 95 | |
| 6 | 34 | |
| 7 | 68 | |
| 8 | 1 | |
| 9 | 108 | |
| 10 | 6 | |
| 11 | 59 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | 15 | |
| 17 | 30 | |
| 18 | 68 | |
| 19 | 93 | |
| 20 | 91 |
About Rachel V. Stankowski
Rachel V. Stankowski is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Toxicology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Global Cancer Incidence and Screening (6 papers) and Cancer Risks and Factors (5 papers). The work is most often cited by research in Oncology (448 citations), Cancer Research (238 citations) and Cardiology and Cardiovascular Medicine (315 citations). Rachel V. Stankowski has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Jessica M. Engel, Adedayo A. Onitilo, Suhail A.R. Doi, Shereif H. Rezkalla, Robert A. Kloner, Gail Williams, Ingrid Glurich, Jennifer M. Hanna, Hong Liang and Richard L. Berg. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Roentgenology.
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.