Philip V. LoGrasso
- Molecular Biology top 2%
- Organic Chemistry top 2%
- Oncology top 5%
- Computational Theory and Mathematics top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Yangbo FengJeremy W. ChambersSarah HarperShannon HowardRongshi LiOlivier DefertMichael D. CameronTimothy A. Cross
- Topics
- Melanoma and MAPK Pathways (44 papers)Protein Kinase Regulation and GTPase Signaling (29 papers)Synthesis and biological activity (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Philip V. LoGrasso
79 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.7k
- Organic Chemistry 900
- Oncology 458
- Computational Theory and Mathematics 403
- Cellular and Molecular Neuroscience 332
Countries citing papers authored by Philip V. LoGrasso
This map shows the geographic impact of Philip V. LoGrasso'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 V. LoGrasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip V. LoGrasso more than expected).
Fields of papers citing papers by Philip V. LoGrasso
This network shows the impact of papers produced by Philip V. LoGrasso. 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 V. LoGrasso. The network helps show where Philip V. LoGrasso may publish in the future.
Co-authorship network of co-authors of Philip V. LoGrasso
This figure shows the co-authorship network connecting the top 25 collaborators of Philip V. LoGrasso. A scholar is included among the top collaborators of Philip V. LoGrasso 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 V. LoGrasso. Philip V. LoGrasso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 66 | |
| 4 | 278 | |
| 5 | 22 | |
| 6 | 156 | |
| 7 | 24 | |
| 8 | 59 | |
| 9 | 34 | |
| 10 | 9 | |
| 11 | 82 | |
| 12 | 45 | |
| 13 | 35 | |
| 14 | 39 | |
| 15 | 102 | |
| 16 | 16 | |
| 17 | 28 | |
| 18 | 270 | |
| 19 | 30 | |
| 20 | 16 |
About Philip V. LoGrasso
Philip V. LoGrasso is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics, having authored 79 papers that have together received 4.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (44 papers), Protein Kinase Regulation and GTPase Signaling (29 papers) and Synthesis and biological activity (15 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Organic Chemistry (900 citations) and Computational Theory and Mathematics (403 citations). Philip V. LoGrasso has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Yangbo Feng, Jeremy W. Chambers, Sarah Harper, Shannon Howard, Rongshi Li, Olivier Defert, Michael D. Cameron, Timothy A. Cross, Thomas Schröter and Claudia Ruiz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.