Nevena Raičević

8 total papers · 623 total citations
8 papers, 524 citations indexed

About

Nevena Raičević is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Nevena Raičević has authored 8 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Organic Chemistry and 3 papers in Materials Chemistry. Recurrent topics in Nevena Raičević's work include Fullerene Chemistry and Applications (3 papers), Nuclear Receptors and Signaling (2 papers) and Neurological disorders and treatments (2 papers). Nevena Raičević is often cited by papers focused on Fullerene Chemistry and Applications (3 papers), Nuclear Receptors and Signaling (2 papers) and Neurological disorders and treatments (2 papers). Nevena Raičević collaborates with scholars based in Serbia, Czechia and Canada. Nevena Raičević's co-authors include Vladimir Trajković, Ljubica Harhaji‐Trajkovic, Biljana M. Todorović Marković, Nadežda Nikolić, Sanja Vranješ‐Đurić, Aleksandra Isaković, Zoran Marković, Miroslav D. Dramićanin, Aleksandra Mladenović and Milka Perović and has published in prestigious journals such as Biomaterials, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Nevena Raičević

8 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
Nevena Raičević	289	231	140	83	72	8	524
Qin Cao	219 0.8×	127 0.5×	47 0.3×	35 0.4×	151 2.1×	19	517
E. Fernández-Sánchez	57 0.2×	137 0.6×	79 0.6×	73 0.9×	105 1.5×	18	500
Tianyi Wang	235 0.8×	26 0.1×	212 1.5×	62 0.7×	144 2.0×	15	614
Mitrajit Ghosh	169 0.6×	26 0.1×	104 0.7×	97 1.2×	87 1.2×	14	492
Shan‐Shan Xue	197 0.7×	59 0.3×	104 0.7×	17 0.2×	238 3.3×	22	607
Jana Hedrich	66 0.2×	36 0.2×	65 0.5×	47 0.6×	210 2.9×	14	590
Peishan Liu-Snyder	77 0.3×	19 0.1×	189 1.4×	75 0.9×	151 2.1×	9	610
Daniel Gonzalez‐Carter	160 0.6×	24 0.1×	200 1.4×	19 0.2×	170 2.4×	12	599
Alexandre Moquin	134 0.5×	72 0.3×	99 0.7×	8 0.1×	163 2.3×	22	494
Daniela Melisi	75 0.3×	66 0.3×	72 0.5×	25 0.3×	134 1.9×	21	493

Countries citing papers authored by Nevena Raičević

Since Specialization

Citations

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

Fields of papers citing papers by Nevena Raičević

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nevena Raičević

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