Phyllis A. Svingen
- Molecular Biology top 2%
- Oncology top 2%
- Immunology top 5%
- Epidemiology top 5%
- Hematology top 2%
- Co-authors
- Scott H. KaufmannGregory J. GoresMaria Eugenia GuicciardiHideyuki MiyoshiSteven F. BronkWilliam A. FaubionTimothy KottkeChristoph Peters
- Topics
- Cancer therapeutics and mechanisms (16 papers)Cell death mechanisms and regulation (14 papers)Immune Cell Function and Interaction (11 papers)
- Cited by
- OncologyHematologyMolecular Biology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Phyllis A. Svingen
57 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.6k
- Oncology 1.2k
- Immunology 612
- Epidemiology 507
- Hematology 460
Countries citing papers authored by Phyllis A. Svingen
This map shows the geographic impact of Phyllis A. Svingen'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 Phyllis A. Svingen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phyllis A. Svingen more than expected).
Fields of papers citing papers by Phyllis A. Svingen
This network shows the impact of papers produced by Phyllis A. Svingen. 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 Phyllis A. Svingen. The network helps show where Phyllis A. Svingen may publish in the future.
Co-authorship network of co-authors of Phyllis A. Svingen
This figure shows the co-authorship network connecting the top 25 collaborators of Phyllis A. Svingen. A scholar is included among the top collaborators of Phyllis A. Svingen 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 Phyllis A. Svingen. Phyllis A. Svingen 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 | 30 | |
| 3 | 52 | |
| 4 | 28 | |
| 5 | 14 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 54 | |
| 9 | 18 | |
| 10 | 64 | |
| 11 | Comparison of potential markers of farnesyltransferase inhibition. | 103 |
| 12 | A Phase I trial of the farnesyl transferase inhibitor SCH66336: evidence for biological and clinical activity. | 201 |
| 13 | Cathepsin B contributes to TNF-α–mediated hepatocyte apoptosis by promoting mitochondrial release of cytochrome cbreakdown → | 606 |
| 14 | 446 | |
| 15 | 91 | |
| 16 | 66 | |
| 17 | 198 | |
| 18 | 151 | |
| 19 | 9 | |
| 20 | 44 |
About Phyllis A. Svingen
Phyllis A. Svingen is a scholar working on Immunology, Oncology and Molecular Biology, having authored 57 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (16 papers), Cell death mechanisms and regulation (14 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Oncology (1.2k citations), Hematology (460 citations) and Molecular Biology (2.6k citations). Phyllis A. Svingen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Scott H. Kaufmann, Gregory J. Gores, Maria Eugenia Guicciardi, Hideyuki Miyoshi, Steven F. Bronk, William A. Faubion, Timothy Kottke, Christoph Peters, Jan M. Deussing and Steven D. Gore. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Blood.
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.