Patricia P. Long
- Oncology top 10%
- Molecular Biology
- Surgery
- Cancer Research top 10%
- Genetics
- Co-authors
- Constance A. GriffinRalph H. HrubanLaura MorsbergerBenjamin S. CarsonHenry BremElizabeth J. PerlmanKathleen M. MurphyCharles J. Yeo
- Topics
- Pancreatic and Hepatic Oncology Research (6 papers)Genomic variations and chromosomal abnormalities (5 papers)Cancer Genomics and Diagnostics (5 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Patricia P. Long
22 papers receiving 749 citations
Peers
Comparison fields: 5 of 56
- Oncology 274
- Molecular Biology 241
- Surgery 190
- Cancer Research 187
- Genetics 174
Countries citing papers authored by Patricia P. Long
This map shows the geographic impact of Patricia P. Long'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 Patricia P. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia P. Long more than expected).
Fields of papers citing papers by Patricia P. Long
This network shows the impact of papers produced by Patricia P. Long. 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 Patricia P. Long. The network helps show where Patricia P. Long may publish in the future.
Co-authorship network of co-authors of Patricia P. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia P. Long. A scholar is included among the top collaborators of Patricia P. Long 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 Patricia P. Long. Patricia P. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 55 | |
| 3 | 21 | |
| 4 | 33 | |
| 5 | 43 | |
| 6 | 27 | |
| 7 | 4 | |
| 8 | 37 | |
| 9 | Consistent chromosome abnormalities in adenocarcinoma of the pancreas. | 93 |
| 10 | 22 | |
| 11 | 14 | |
| 12 | 16 | |
| 13 | 56 | |
| 14 | 36 | |
| 15 | Fluorescence in situ hybridization for the Y-chromosome can be used to detect cells of recipient origin in allografted hearts following cardiac transplantation. | 104 |
| 16 | Cytogenetic and ploidy analysis of prostatic adenocarcinoma. | 7 |
| 17 | 1 | |
| 18 | 98 | |
| 19 | 5 | |
| 20 | 37 |
About Patricia P. Long
Patricia P. Long is a scholar working on Reproductive Medicine, Cancer Research and Oncology, having authored 22 papers that have together received 774 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Genetics (142 citations), Cancer Research (187 citations) and Transplantation (28 citations). Patricia P. Long has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Constance A. Griffin, Ralph H. Hruban, Laura Morsberger, Benjamin S. Carson, Henry Brem, Elizabeth J. Perlman, Kathleen M. Murphy, Charles J. Yeo, Anita L. Hawkins and Elizabeth M. Jaffee. Their work appears in journals such as British Journal of Haematology, Genes Chromosomes and Cancer and Journal of Molecular Diagnostics.
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.