Philip W. Iversen

6.2k total citations · 1 hit paper
59 papers, 3.4k citations indexed

About

Philip W. Iversen is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philip W. Iversen has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 22 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philip W. Iversen's work include DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (7 papers) and Computational Drug Discovery Methods (7 papers). Philip W. Iversen is often cited by papers focused on DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (7 papers) and Computational Drug Discovery Methods (7 papers). Philip W. Iversen collaborates with scholars based in United States, Spain and United Kingdom. Philip W. Iversen's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Philip W. Iversen

59 papers receiving 3.3k citations

Hit Papers

Preclinical characterization of the CDK4/6 inhibitor LY28... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Philip W. Iversen
Comparison fields: 5 of 137
  • Molecular Biology 1.8k
  • Oncology 1.3k
  • Pulmonary and Respiratory Medicine 693
  • Cancer Research 405
  • Genetics 318
Replace Robert J. Kinders with:
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Robert J. Kinders United States View profile →
Citations per field, relative to Philip W. Iversen
Philip W. Iversen · 1×
Citations per year, relative to Philip W. Iversen
Philip W. Iversen · 1×

Countries citing papers authored by Philip W. Iversen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 gemcitabine breakdown →
446
12 47
13 102
14 100
15 11
16 97
17 17
18 5
19 43
20 33

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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