P SWALSKY

1.2k total citations
13 papers, 924 citations indexed

About

P SWALSKY is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, P SWALSKY has authored 13 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in P SWALSKY's work include Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (2 papers). P SWALSKY is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Colorectal Cancer Screening and Detection (2 papers). P SWALSKY collaborates with scholars based in United States. P SWALSKY's 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 and has published in prestigious journals such as Kidney International, Journal of Clinical Microbiology and Cancer Letters.

In The Last Decade

P SWALSKY

13 papers receiving 912 citations

Peers

P SWALSKY
Bal Kampalath United States
M Prade France
José C. Villasboas United States
Ernesto Ayala United States
Jennifer Ma United States
P SWALSKY
Citations per year, relative to P SWALSKY P SWALSKY (= 1×) peers Francesco Feoli

Countries citing papers authored by P SWALSKY

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Dabbs, David J., et al.. (2006). Molecular alterations in columnar cell lesions of the breast. Modern Pathology. 19(3). 344–349. 118 indexed citations
2.
Khalid, Azeem, Kris G. McGrath, Muhammad Zahid, et al.. (2005). The Role of Pancreatic Cyst Fluid Molecular Analysis in Predicting Cyst Pathology. Clinical Gastroenterology and Hepatology. 3(10). 967–973. 161 indexed citations
3.
Randhawa, Parmjeet, Andrew Ho, Ron Shapiro, et al.. (2004). Correlates of Quantitative Measurement of BK Polyomavirus (BKV) DNA with Clinical Course of BKV Infection in Renal Transplant Patients. Journal of Clinical Microbiology. 42(3). 1176–1180. 196 indexed citations
4.
Randhawa, Parmjeet, Ron Shapiro, Abhay Vats, et al.. (2003). Viral regulatory region sequence variations in kidney tissue obtained from patients with BK virus nephropathy. Kidney International. 64(2). 743–747. 77 indexed citations
5.
Rao, Uma N. M., Arne Bakker, P SWALSKY, & S. D. Finkelstein. (1999). Max interacting protein 1: loss of heterozygosity is frequent in desmoplastic melanoma.. PubMed. 12(4). 344–50. 26 indexed citations
6.
Finkelstein, Sydney, Ronald M. Przygodzki, & P SWALSKY. (1998). Microdissection-based p53 genotyping: Concepts for molecular testing. Molecular Diagnosis. 3(3). 179–191. 10 indexed citations
7.
Bakker, Arne, et al.. (1998). Malignant Transformation in Sinonasal Papillomas Is Closely Associated With Aberrant p53 Expression.. PubMed. 3(1). 37–41. 8 indexed citations
8.
Shivapurkar, Narayan, Li Huang, Bruce Ruggeri, et al.. (1997). K-ras and p53 mutations in aberrant crypt foci and colonic tumors from colon cancer patients. Cancer Letters. 115(1). 39–46. 50 indexed citations
9.
Zhu, Dan, Phouthone Keohavong, S. D. Finkelstein, et al.. (1997). K-ras gene mutations in normal colorectal tissues from K-ras mutation-positive colorectal cancer patients.. PubMed. 57(12). 2485–92. 68 indexed citations
10.
Przygodzki, Ronald M., Sydney Finkelstein, Phouthone Keohavong, et al.. (1997). Sporadic and Thorotrast-induced angiosarcomas of the liver manifest frequent and multiple point mutations in K-ras-2.. PubMed. 76(1). 153–9. 57 indexed citations
11.
Kanbour‐Shakir, Amal, Sophia Kounelis, Helen Papadaki, et al.. (1996). Relationship of p53 genotype to second-look recurrence and survival in ovarian epithelial malignancy. Molecular Diagnosis. 1(2). 121–129. 3 indexed citations
12.
Przygodzki, Ronald M., Sydney Finkelstein, John Langer, et al.. (1996). Analysis of p53, K-ras-2, and C-raf-1 in pulmonary neuroendocrine tumors. Correlation with histological subtype and clinical outcome.. PubMed. 148(5). 1531–41. 130 indexed citations
13.
Finkelstein, Sydney, Ronald M. Przygodzki, Victor E. Pricolo, et al.. (1996). Prediction of biologic aggressiveness in colorectal cancer by p53/k-ras-2 topographic genotyping. Molecular Diagnosis. 1(1). 5–28. 20 indexed citations

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.

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