Greta Musteikytė

11 total papers · 762 total citations
7 papers, 165 citations indexed

About

Greta Musteikytė is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Greta Musteikytė has authored 7 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Greta Musteikytė's work include Alzheimer's disease research and treatments (7 papers), S100 Proteins and Annexins (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Greta Musteikytė is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), S100 Proteins and Annexins (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Greta Musteikytė collaborates with scholars based in Lithuania, Sweden and United Kingdom. Greta Musteikytė's co-authors include Vytautas Smirnovas, Tuomas P. J. Knowles, Catherine K. Xu, Georg Krainer, Michele Vendruscolo, Ludmilla A. Morozova‐Roche, Igor A. Iashchishyn, Željko M. Svedružić, Mantas Žiaunys and Himanshu Chaudhary and has published in prestigious journals such as ACS Applied Materials & Interfaces, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Greta Musteikytė

7 papers receiving 165 citations

Author Peers

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

Author						Papers	Cites
Greta Musteikytė	92	81	56	17	17	7	165
Shenqing Zhang	58 0.6×	137 1.7×	45 0.8×	15 0.9×	10 0.6×	15	221
Qinyue Zhao	78 0.8×	75 0.9×	71 1.3×	17 1.0×	7 0.4×	17	172
Sabine M. Ulamec	159 1.7×	120 1.5×	126 2.3×	20 1.2×	23 1.4×	7	263
G. Nasir Khan	89 1.0×	148 1.8×	90 1.6×	12 0.7×	22 1.3×	8	266
Yeh‐Jun Lim	105 1.1×	149 1.8×	94 1.7×	22 1.3×	26 1.5×	9	284
Binh A. Nguyen	115 1.3×	169 2.1×	25 0.4×	24 1.4×	23 1.4×	12	227
Debdeep Chatterjee	87 0.9×	127 1.6×	69 1.2×	40 2.4×	16 0.9×	10	266
Gregory M. Rosenberg	97 1.1×	107 1.3×	27 0.5×	14 0.8×	23 1.4×	8	167
Vinod Udayar	133 1.4×	108 1.3×	28 0.5×	22 1.3×	19 1.1×	9	278
James M. Fay	49 0.5×	115 1.4×	119 2.1×	40 2.4×	11 0.6×	8	253

Countries citing papers authored by Greta Musteikytė

Since Specialization

Citations

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

Fields of papers citing papers by Greta Musteikytė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greta Musteikytė

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