E G Lapetina

18 total papers · 1.1k total citations
16 papers, 933 citations indexed

About

E G Lapetina is a scholar working on Molecular Biology, Hematology and Pharmacology. According to data from OpenAlex, E G Lapetina has authored 16 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Pharmacology. Recurrent topics in E G Lapetina's work include Protein Kinase Regulation and GTPase Signaling (7 papers), Platelet Disorders and Treatments (4 papers) and Receptor Mechanisms and Signaling (4 papers). E G Lapetina is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (7 papers), Platelet Disorders and Treatments (4 papers) and Receptor Mechanisms and Signaling (4 papers). E G Lapetina collaborates with scholars based in United States and Germany. E G Lapetina's co-authors include Wolfgang Siess, Udo K. Meßmer, Bernhard Brüne, Pierre Morell, Ken D. McCarthy, Brian E. Huber, Anita Sjölander, Kazutoshi Yamamoto, Motasim Billah and Mauro Torti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

E G Lapetina

16 papers receiving 894 citations

Author Peers

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

Author						Papers	Cites
E G Lapetina	535	182	127	97	92	16	933
Junji Yamanishi	497 0.9×	134 0.7×	163 1.3×	53 0.5×	86 0.9×	15	901
W K Pollock	502 0.9×	157 0.9×	216 1.7×	85 0.9×	76 0.8×	11	977
Edda F. Roberts	651 1.2×	187 1.0×	152 1.2×	142 1.5×	77 0.8×	12	1.1k
Peter Roevens	648 1.2×	224 1.2×	69 0.5×	74 0.8×	128 1.4×	29	1.1k
J. Wadsworth	552 1.0×	138 0.8×	54 0.4×	122 1.3×	57 0.6×	20	935
Alexandra Moers	482 0.9×	128 0.7×	243 1.9×	144 1.5×	84 0.9×	17	1.1k
M. Smith	544 1.0×	161 0.9×	333 2.6×	157 1.6×	224 2.4×	22	1.2k
Brian Schimpf	371 0.7×	97 0.5×	56 0.4×	112 1.2×	81 0.9×	18	967
Fumin Lin	601 1.1×	189 1.0×	68 0.5×	66 0.7×	54 0.6×	26	1.2k
Pia S. Petersen	362 0.7×	325 1.8×	70 0.6×	50 0.5×	36 0.4×	18	986

Countries citing papers authored by E G Lapetina

Since Specialization

Citations

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

Fields of papers citing papers by E G Lapetina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E G Lapetina. 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 E G Lapetina. The network helps show where E G Lapetina may publish in the future.

Co-authorship network of co-authors of E G Lapetina

This figure shows the co-authorship network connecting the top 25 collaborators of E G Lapetina. A scholar is included among the top collaborators of E G Lapetina 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 E G Lapetina. E G Lapetina 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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