Alina Guna

36 total papers · 2.4k total citations
19 papers, 1.2k citations indexed

About

Alina Guna is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Alina Guna has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Alina Guna's work include RNA and protein synthesis mechanisms (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and CRISPR and Genetic Engineering (4 papers). Alina Guna is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and CRISPR and Genetic Engineering (4 papers). Alina Guna collaborates with scholars based in United States, United Kingdom and Canada. Alina Guna's co-authors include Ramanujan S. Hegde, Norbert Volkmar, John C. Christianson, Anne S. Bassett, Nancy J. Butcher, Szymon Juszkiewicz, Sichen Shao, Jonathan S. Weissman, Angela N. Pogson and Joseph M. Replogle and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Alina Guna

18 papers receiving 1.2k citations

Hit Papers

Mapping information-rich ... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Alina Guna 986 273 215 114 62 19 1.2k
Paul van den IJssel 986 1.0× 253 0.9× 169 0.8× 47 0.4× 61 1.0× 14 1.3k
Sudarshan Gadadhar 537 0.5× 323 1.2× 147 0.7× 32 0.3× 42 0.7× 21 1.1k
Zhizhi Wang 921 0.9× 175 0.6× 167 0.8× 41 0.4× 28 0.5× 23 1.2k
H Reinke 719 0.7× 229 0.8× 96 0.4× 108 0.9× 64 1.0× 23 1.3k
Ashok Patowary 696 0.7× 116 0.4× 235 1.1× 61 0.5× 15 0.2× 27 1.0k
Barbara Ciani 868 0.9× 209 0.8× 64 0.3× 114 1.0× 97 1.6× 35 1.4k
Kimberly L.K. Duncan 560 0.6× 372 1.4× 158 0.7× 63 0.6× 76 1.2× 15 1.2k
Alberto Domingo 511 0.5× 206 0.8× 55 0.3× 46 0.4× 48 0.8× 33 959
Manuela Argentini 1.1k 1.1× 128 0.5× 146 0.7× 46 0.4× 25 0.4× 28 1.4k
Pengli Zheng 374 0.4× 328 1.2× 34 0.2× 273 2.4× 96 1.5× 23 964

Countries citing papers authored by Alina Guna

Since Specialization
Citations

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

Fields of papers citing papers by Alina Guna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina Guna

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