Philip V. LoGrasso

4.7k total citations
79 papers, 4.0k citations indexed

About

Philip V. LoGrasso is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Philip V. LoGrasso has authored 79 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 28 papers in Organic Chemistry and 10 papers in Computational Theory and Mathematics. Recurrent topics in Philip V. LoGrasso's work include Melanoma and MAPK Pathways (44 papers), Protein Kinase Regulation and GTPase Signaling (29 papers) and Synthesis and biological activity (15 papers). Philip V. LoGrasso is often cited by papers focused on Melanoma and MAPK Pathways (44 papers), Protein Kinase Regulation and GTPase Signaling (29 papers) and Synthesis and biological activity (15 papers). Philip V. LoGrasso collaborates with scholars based in United States, United Kingdom and China. Philip V. LoGrasso's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Philip V. LoGrasso

79 papers receiving 3.9k citations

Peers

Philip V. LoGrasso
Comparison fields: 5 of 122
  • Molecular Biology 2.7k
  • Organic Chemistry 900
  • Oncology 458
  • Computational Theory and Mathematics 403
  • Cellular and Molecular Neuroscience 332
Replace Xiaoxiang Zhu with:
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Federico Da Settimo Italy
Filippo Minutolo Italy
Milton L. Brown United States
Maria Ruzzene Italy
Shripad S. Bhagwat United States
Abdul H. Fauq United States
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Xiaoxiang Zhu United States View profile →
Citations per field, relative to Philip V. LoGrasso
Philip V. LoGrasso · 1×
Citations per year, relative to Philip V. LoGrasso
Philip V. LoGrasso · 1×

Countries citing papers authored by Philip V. LoGrasso

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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