Finly Philip

19 total papers · 471 total citations
14 papers, 374 citations indexed

About

Finly Philip is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Finly Philip has authored 14 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Finly Philip's work include Protein Kinase Regulation and GTPase Signaling (8 papers), RNA Research and Splicing (5 papers) and Cellular transport and secretion (3 papers). Finly Philip is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), RNA Research and Splicing (5 papers) and Cellular transport and secretion (3 papers). Finly Philip collaborates with scholars based in United States and Spain. Finly Philip's co-authors include Suzanne Scarlata, Piali Sengupta, Yuanjian Guo, Elliott M. Ross, Ganesh Kadamur, Giuseppe Caso, Tamara I. A. Roach, Iain D. C. Fraser, Lucas Cheadle and Keng Lin and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Current Biology.

In The Last Decade

Finly Philip

14 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Finly Philip	325	131	84	35	28	14	374
Miloš Babić	297 0.9×	82 0.6×	68 0.8×	41 1.2×	14 0.5×	9	401
Nathalie R. Reinhard	297 0.9×	139 1.1×	70 0.8×	34 1.0×	14 0.5×	11	407
Sebastian Hauke	269 0.8×	89 0.7×	53 0.6×	40 1.1×	59 2.1×	15	431
Alessandro Dema	226 0.7×	141 1.1×	43 0.5×	27 0.8×	16 0.6×	12	333
Daniela Salas	251 0.8×	116 0.9×	66 0.8×	35 1.0×	22 0.8×	17	382
Madeleine Craske	282 0.9×	56 0.4×	71 0.8×	23 0.7×	38 1.4×	9	389
Dong‐Won Lee	265 0.8×	264 2.0×	39 0.5×	52 1.5×	23 0.8×	15	420
Vanesa M. Tomatis	329 1.0×	234 1.8×	74 0.9×	54 1.5×	13 0.5×	12	437
Tejeshwar C. Rao	224 0.7×	153 1.2×	66 0.8×	53 1.5×	20 0.7×	26	400
Yury J. Sigal	335 1.0×	157 1.2×	45 0.5×	46 1.3×	18 0.6×	9	411

Countries citing papers authored by Finly Philip

Since Specialization

Citations

This map shows the geographic impact of Finly Philip'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 Finly Philip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finly Philip more than expected).

Fields of papers citing papers by Finly Philip

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Finly Philip. 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 Finly Philip. The network helps show where Finly Philip may publish in the future.

Co-authorship network of co-authors of Finly Philip

This figure shows the co-authorship network connecting the top 25 collaborators of Finly Philip. A scholar is included among the top collaborators of Finly Philip 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 Finly Philip. Finly Philip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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