Matilda Bylaitė

32 total papers · 1.6k total citations
14 papers, 333 citations indexed

About

Matilda Bylaitė is a scholar working on Dermatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Matilda Bylaitė has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Matilda Bylaitė's work include Protease and Inhibitor Mechanisms (3 papers), Skin Protection and Aging (3 papers) and Skin and Cellular Biology Research (3 papers). Matilda Bylaitė is often cited by papers focused on Protease and Inhibitor Mechanisms (3 papers), Skin Protection and Aging (3 papers) and Skin and Cellular Biology Research (3 papers). Matilda Bylaitė collaborates with scholars based in Lithuania, Germany and Romania. Matilda Bylaitė's co-authors include Thomas Ruzicka, Markus Walz, Sandra Diehl, Jūratė Garbaravičienė, George‐Sorin Ţiplica, Ralf J. Ludwig, Hanns Ackermann, M. Saint Aroman, F. Boralévi and Andrzej Kaszuba and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Gene.

In The Last Decade

Matilda Bylaitė

13 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Matilda Bylaitė	172	80	70	60	60	14	333
S. Leech	127 0.7×	83 1.0×	87 1.2×	110 1.8×	29 0.5×	14	352
Francesca Prestinari	152 0.9×	153 1.9×	35 0.5×	41 0.7×	64 1.1×	16	337
Chester Lai	90 0.5×	219 2.7×	147 2.1×	63 1.1×	73 1.2×	19	369
Alice Wang	93 0.5×	75 0.9×	36 0.5×	78 1.3×	77 1.3×	15	307
P. Mulas	108 0.6×	43 0.5×	233 3.3×	45 0.8×	70 1.2×	13	314
Julia Wagenpfeil	143 0.8×	191 2.4×	52 0.7×	55 0.9×	23 0.4×	13	295
van Vloten Wa	111 0.6×	110 1.4×	77 1.1×	84 1.4×	24 0.4×	15	362
L. Marchesi	83 0.5×	60 0.8×	77 1.1×	58 1.0×	46 0.8×	19	320
Line Raaby	116 0.7×	231 2.9×	49 0.7×	71 1.2×	22 0.4×	15	341
Gianluca Pagnanelli	165 1.0×	234 2.9×	99 1.4×	43 0.7×	44 0.7×	21	331

Countries citing papers authored by Matilda Bylaitė

Since Specialization

Citations

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

Fields of papers citing papers by Matilda Bylaitė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matilda Bylaitė

This figure shows the co-authorship network connecting the top 25 collaborators of Matilda Bylaitė. A scholar is included among the top collaborators of Matilda Bylaitė 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 Matilda Bylaitė. Matilda Bylaitė 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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