Philip W. Iversen
- Molecular Biology top 5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Genetics top 5%
- Co-authors
- Jeremy R. GraffBrian J. EastwoodG. Sitta SittampalamBlake Lee NeubauerKaren L. CoxBruce W. KonicekMarı́a José LallenaFritz F. Parl
- Topics
- DNA Repair Mechanisms (7 papers)Cancer-related Molecular Pathways (7 papers)Computational Drug Discovery Methods (7 papers)
- Cited by
- OncologyGeneticsCancer Research
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Philip W. Iversen
59 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.8k
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 693
- Cancer Research 405
- Genetics 318
Countries citing papers authored by Philip W. Iversen
This map shows the geographic impact of Philip W. Iversen'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 Philip W. Iversen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip W. Iversen more than expected).
Fields of papers citing papers by Philip W. Iversen
This network shows the impact of papers produced by Philip W. Iversen. 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 Philip W. Iversen. The network helps show where Philip W. Iversen may publish in the future.
Co-authorship network of co-authors of Philip W. Iversen
This figure shows the co-authorship network connecting the top 25 collaborators of Philip W. Iversen. A scholar is included among the top collaborators of Philip W. Iversen 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 Philip W. Iversen. Philip W. Iversen 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 | 8 | |
| 3 | 47 | |
| 4 | 267 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 39 | |
| 8 | 58 | |
| 9 | 62 | |
| 10 | 9 | |
| 11 | Preclinical characterization of the CDK4/6 inhibitor LY2835219: in-vivo cell cycle-dependent/independent anti-tumor activities alone/in combination with gemcitabinebreakdown → | 446 |
| 12 | 47 | |
| 13 | 102 | |
| 14 | 100 | |
| 15 | 11 | |
| 16 | 97 | |
| 17 | 17 | |
| 18 | 5 | |
| 19 | 43 | |
| 20 | 33 |
About Philip W. Iversen
Philip W. Iversen is a scholar working on Oncology, Cancer Research and Statistics and Probability, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Oncology (1.3k citations), Genetics (318 citations) and Cancer Research (405 citations). Philip W. Iversen has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Jeremy R. Graff, Brian J. Eastwood, G. Sitta Sittampalam, Blake Lee Neubauer, Karen L. Cox, Bruce W. Konicek, Marı́a José Lallena, Fritz F. Parl, James G. Herman and Edward Gabrielson. Their work appears in journals such as Journal of Biological Chemistry, Blood and Cancer Research.
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.