Vytas Reipa

98 total papers · 2.3k total citations
73 papers, 1.8k citations indexed

About

Vytas Reipa is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Vytas Reipa has authored 73 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 28 papers in Materials Chemistry and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Vytas Reipa's work include Electrochemical Analysis and Applications (17 papers), Nanoparticles: synthesis and applications (14 papers) and Silicon Nanostructures and Photoluminescence (9 papers). Vytas Reipa is often cited by papers focused on Electrochemical Analysis and Applications (17 papers), Nanoparticles: synthesis and applications (14 papers) and Silicon Nanostructures and Photoluminescence (9 papers). Vytas Reipa collaborates with scholars based in United States, South Korea and Egypt. Vytas Reipa's co-authors include Jonghoon Choi, Peter L. Goering, Victoria M. Hitchins, Richard A. Malinauskas, Nam Sun Wang, Andrea Mario Rossi, Thomas E. Murphy, Vincent L. Vilker, Donald H. Atha and Adolfas K. Gaigalas and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Vytas Reipa

73 papers receiving 1.8k citations

Author Peers

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

Author						Papers	Cites
Vytas Reipa	896	671	464	293	198	73	1.8k
Mei Yang	949 1.1×	549 0.8×	476 1.0×	382 1.3×	150 0.8×	79	2.0k
Wenxin Li	1.4k 1.5×	613 0.9×	352 0.8×	515 1.8×	157 0.8×	60	2.2k
Tingting Jiang	728 0.8×	910 1.4×	525 1.1×	296 1.0×	204 1.0×	98	2.1k
Ting Shao	626 0.7×	762 1.1×	339 0.7×	269 0.9×	97 0.5×	77	2.1k
Fujian Xu	784 0.9×	556 0.8×	567 1.2×	203 0.7×	293 1.5×	67	2.1k
Yanan Chang	1.1k 1.2×	811 1.2×	456 1.0×	222 0.8×	274 1.4×	91	2.3k
Xuejing Cui	517 0.6×	367 0.5×	227 0.5×	485 1.7×	166 0.8×	64	1.6k
Cerasela Zoica Dinu	886 1.0×	723 1.1×	651 1.4×	255 0.9×	288 1.5×	83	2.2k
Xiaodong Hou	417 0.5×	447 0.7×	515 1.1×	370 1.3×	237 1.2×	105	2.0k
Xiaolin Xu	428 0.5×	545 0.8×	614 1.3×	164 0.6×	183 0.9×	112	2.1k

Countries citing papers authored by Vytas Reipa

Since Specialization

Citations

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

Fields of papers citing papers by Vytas Reipa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vytas Reipa

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