P SWALSKY
- Oncology top 5%
- Pathology and Forensic Medicine top 10%
- Surgery
- Epidemiology
- Cancer Research top 10%
- Co-authors
- Sydney FinkelsteinArne BakkerS. D. FinkelsteinAbhay VatsParmjeet RandhawaKaren E. WeckRon ShapiroRonald M. Przygodzki
- Topics
- Genetic factors in colorectal cancer (3 papers)Colorectal Cancer Treatments and Studies (3 papers)Colorectal Cancer Screening and Detection (2 papers)
- Partner nations
- United States
In The Last Decade
P SWALSKY
13 papers receiving 912 citations
Peers
Comparison fields: 5 of 62
- Oncology 721
- Pathology and Forensic Medicine 195
- Surgery 194
- Epidemiology 187
- Cancer Research 163
Countries citing papers authored by P SWALSKY
This map shows the geographic impact of P SWALSKY'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 P SWALSKY with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P SWALSKY more than expected).
Fields of papers citing papers by P SWALSKY
This network shows the impact of papers produced by P SWALSKY. 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 P SWALSKY. The network helps show where P SWALSKY may publish in the future.
Co-authorship network of co-authors of P SWALSKY
This figure shows the co-authorship network connecting the top 25 collaborators of P SWALSKY. A scholar is included among the top collaborators of P SWALSKY 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 P SWALSKY. P SWALSKY is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 118 | |
| 2 | 161 | |
| 3 | 196 | |
| 4 | 77 | |
| 5 | Max interacting protein 1: loss of heterozygosity is frequent in desmoplastic melanoma. | 26 |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 50 | |
| 9 | K-ras gene mutations in normal colorectal tissues from K-ras mutation-positive colorectal cancer patients. | 68 |
| 10 | Sporadic and Thorotrast-induced angiosarcomas of the liver manifest frequent and multiple point mutations in K-ras-2. | 57 |
| 11 | 3 | |
| 12 | Analysis of p53, K-ras-2, and C-raf-1 in pulmonary neuroendocrine tumors. Correlation with histological subtype and clinical outcome. | 130 |
| 13 | 20 |
About P SWALSKY
P SWALSKY is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 13 papers that have together received 924 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Oncology (721 citations), Transplantation (32 citations) and Pathology and Forensic Medicine (195 citations). P SWALSKY has collaborated with scholars based in United States. Frequent co-authors include Sydney Finkelstein, Arne Bakker, S. D. Finkelstein, Abhay Vats, Parmjeet Randhawa, Karen E. Weck, Ron Shapiro, Ronald M. Przygodzki, Andrew Ho and David J. Dabbs. Their work appears in journals such as Kidney International, Journal of Clinical Microbiology and Cancer Letters.
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.