Amy P.N. Skubitz
- Molecular Biology top 2%
- Immunology and Allergy top 0.1%
- Oncology top 2%
- Cell Biology top 0.5%
- Cancer Research top 1%
- Co-authors
- Keith M. SkubitzLeo T. FurchtStefan E. PambuccianJames B. McCarthyKathryn M. BurlesonTheodore R. OegemaRachael C. CaseyKenneth D. Campbell
- Topics
- Cell Adhesion Molecules Research (57 papers)Protease and Inhibitor Mechanisms (16 papers)Proteoglycans and glycosaminoglycans research (16 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Amy P.N. Skubitz
131 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 2.7k
- Immunology and Allergy 1.9k
- Oncology 1.6k
- Cell Biology 1.2k
- Cancer Research 1.2k
Countries citing papers authored by Amy P.N. Skubitz
This map shows the geographic impact of Amy P.N. Skubitz'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 Amy P.N. Skubitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy P.N. Skubitz more than expected).
Fields of papers citing papers by Amy P.N. Skubitz
This network shows the impact of papers produced by Amy P.N. Skubitz. 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 Amy P.N. Skubitz. The network helps show where Amy P.N. Skubitz may publish in the future.
Co-authorship network of co-authors of Amy P.N. Skubitz
This figure shows the co-authorship network connecting the top 25 collaborators of Amy P.N. Skubitz. A scholar is included among the top collaborators of Amy P.N. Skubitz 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 Amy P.N. Skubitz. Amy P.N. Skubitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 99 | |
| 5 | 21 | |
| 6 | 83 | |
| 7 | 64 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 20 | |
| 11 | 148 | |
| 12 | A differential biclustering algorithm for comparative analysis of gene expression | 1 |
| 13 | 32 | |
| 14 | 5 | |
| 15 | 58 | |
| 16 | 13 | |
| 17 | Expression of alpha 6 and beta 4 integrins in serous ovarian carcinoma correlates with expression of the basement membrane protein laminin. | 57 |
| 18 | 36 | |
| 19 | 45 | |
| 20 | Murine type c viral envelope glycoprotein gp69/71 and lupus-like glomerulonephritis of new zealand mice. | 3 |
About Amy P.N. Skubitz
Amy P.N. Skubitz is a scholar working on Immunology and Allergy, Cancer Research and Cell Biology, having authored 134 papers that have together received 6.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (57 papers), Protease and Inhibitor Mechanisms (16 papers) and Proteoglycans and glycosaminoglycans research (16 papers). The work is most often cited by research in Immunology and Allergy (1.9k citations), Cancer Research (1.2k citations) and Cell Biology (1.2k citations). Amy P.N. Skubitz has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Keith M. Skubitz, Leo T. Furcht, Stefan E. Pambuccian, James B. McCarthy, Kathryn M. Burleson, Theodore R. Oegema, Rachael C. Casey, Kenneth D. Campbell, Kristin L.M. Boylan and Elizabeth A. Wayner. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.