Philip E. Lapinski
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Lymphatic System and Diseases
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 21
- Drug Transport and Resistance Mechanisms 6
- Lymphatic System and Diseases 4
- Vascular Tumors and Angiosarcomas 4
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- RNA Interference and Gene Delivery 4
- Protein Tyrosine Phosphatases 4
- Co-authors
- Philip D. King (31 shared papers)Malini Raghavan (8 shared papers)Beth A. Lubeck (6 shared papers)Lisette M. Acevedo (1 shared paper)Sara M. Weis (1 shared paper)Sudarshan Anand (1 shared paper)Miller Huang (1 shared paper)David A. Cheresh (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Immunology (4 papers)Journal of Clinical Investigation (3 papers)Blood (2 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Philip E. Lapinski
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 317
- Oncology 468
- Immunology 323
- Molecular Biology 824
- Neurology 145
Countries citing papers authored by Philip E. Lapinski
This map shows the geographic impact of Philip E. Lapinski'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 E. Lapinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Lapinski more than expected).
Fields of papers citing papers by Philip E. Lapinski
This network shows the impact of papers produced by Philip E. Lapinski. 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 E. Lapinski. The network helps show where Philip E. Lapinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip E. Lapinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 420 | |
| 2 | 2012 | 100 | |
| 3 | 2013 | 89 | |
| 4 | 2001 | 64 | |
| 5 | 2013 | 63 | |
| 6 | 2014 | 60 | |
| 7 | 2020 | 57 | |
| 8 | 2017 | 57 | |
| 9 | 2017 | 55 | |
| 10 | 2013 | 54 | |
| 11 | 2010 | 51 | |
| 12 | 2019 | 49 | |
| 13 | 2002 | 46 | |
| 14 | 2016 | 44 | |
| 15 | 2006 | 39 | |
| 16 | 2013 | 38 | |
| 17 | 2013 | 37 | |
| 18 | 2014 | 32 | |
| 19 | 2007 | 31 | |
| 20 | 2001 | 28 |
About Philip E. Lapinski
Philip E. Lapinski is a scholar working on Oncology, Molecular Biology, Immunology, Surgery and Cell Biology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers), Drug Transport and Resistance Mechanisms (6 papers), Vascular Malformations and Hemangiomas (6 papers), RNA Interference and Gene Delivery (4 papers), Lymphatic System and Diseases (4 papers), Protein Tyrosine Phosphatases (4 papers) and Vascular Tumors and Angiosarcomas (4 papers). The work is most often cited by research in Cancer Research (317 citations), Oncology (468 citations), Immunology (323 citations), Molecular Biology (824 citations) and Neurology (145 citations). Philip E. Lapinski has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Philip D. King, Malini Raghavan, Beth A. Lubeck, Lisette M. Acevedo, Sara M. Weis, Sudarshan Anand, Miller Huang, David A. Cheresh, Lea Scheppke and David J. Shields. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Immunology, 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.