Rita Šiugždinienė

66 total papers · 639 total citations
36 papers, 474 citations indexed

About

Rita Šiugždinienė is a scholar working on Food Science, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Rita Šiugždinienė has authored 36 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 13 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Rita Šiugždinienė's work include Antimicrobial Resistance in Staphylococcus (11 papers), Salmonella and Campylobacter epidemiology (9 papers) and Antibiotic Resistance in Bacteria (9 papers). Rita Šiugždinienė is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (11 papers), Salmonella and Campylobacter epidemiology (9 papers) and Antibiotic Resistance in Bacteria (9 papers). Rita Šiugždinienė collaborates with scholars based in Lithuania, Portugal and Kazakhstan. Rita Šiugždinienė's co-authors include Modestas Ružauskas, Irena Klimienė, Edita Sužiedėlienė, Alvydas Pavilonis, Sigita Kerzienė, Julija Armalytė, Jūratė Skerniškytė, Renatas Krasauskas, Vaida Šeputienė and Constança Pomba and has published in prestigious journals such as Frontiers in Microbiology, Materials and Nanomaterials.

In The Last Decade

Rita Šiugždinienė

33 papers receiving 452 citations

Author Peers

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

Author						Papers	Cites
Rita Šiugždinienė	127	119	119	98	95	36	474
Fatma Youssef	132 1.0×	89 0.7×	66 0.6×	47 0.5×	119 1.3×	33	437
Norhan K. Abd El-Aziz	86 0.7×	172 1.4×	65 0.5×	75 0.8×	170 1.8×	34	445
Susweta Das Mitra	148 1.2×	109 0.9×	119 1.0×	29 0.3×	99 1.0×	30	446
Mohamed Samir	168 1.3×	104 0.9×	131 1.1×	44 0.4×	84 0.9×	40	528
Hesamaddin Shirzad‐Aski	100 0.8×	216 1.8×	155 1.3×	21 0.2×	51 0.5×	45	543
Mohamed Enany	170 1.3×	107 0.9×	150 1.3×	27 0.3×	64 0.7×	39	413
Ming Hu	198 1.6×	84 0.7×	58 0.5×	81 0.8×	157 1.7×	32	474
Amira A. Moawad	73 0.6×	153 1.3×	114 1.0×	83 0.8×	154 1.6×	17	475
Jorge Pinto Ferreira	71 0.6×	65 0.5×	99 0.8×	142 1.4×	105 1.1×	17	535
Tsepo Ramatla	80 0.6×	181 1.5×	126 1.1×	120 1.2×	116 1.2×	55	473

Countries citing papers authored by Rita Šiugždinienė

Since Specialization

Citations

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

Fields of papers citing papers by Rita Šiugždinienė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Šiugždinienė

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