Valentin Florian Rauca

21 total papers · 471 total citations
16 papers, 360 citations indexed

About

Valentin Florian Rauca is a scholar working on Cancer Research, Immunology and Molecular Biology. According to data from OpenAlex, Valentin Florian Rauca has authored 16 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Valentin Florian Rauca's work include Cancer, Lipids, and Metabolism (7 papers), Immune cells in cancer (6 papers) and Nanoparticle-Based Drug Delivery (4 papers). Valentin Florian Rauca is often cited by papers focused on Cancer, Lipids, and Metabolism (7 papers), Immune cells in cancer (6 papers) and Nanoparticle-Based Drug Delivery (4 papers). Valentin Florian Rauca collaborates with scholars based in Romania, Germany and United States. Valentin Florian Rauca's co-authors include Alina Sesărman, Manuela Banciu, Laura Pătraș, Lavinia Lupuţ, Emilia Licărete, Alina Porfire, Bianca Sylvester, Lucia Ruxandra Tefas, Dana Muntean and Laurian Vlase and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Valentin Florian Rauca

14 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Valentin Florian Rauca 162 100 87 76 70 16 360
Kaipei Luo 147 0.9× 119 1.2× 100 1.1× 39 0.5× 23 0.3× 15 349
Yanguo Su 136 0.8× 82 0.8× 79 0.9× 34 0.4× 31 0.4× 18 355
Pablo Lara 206 1.3× 57 0.6× 104 1.2× 89 1.2× 43 0.6× 11 331
Xiaoya Hou 128 0.8× 126 1.3× 111 1.3× 24 0.3× 43 0.6× 10 394
Lingyu Qin 143 0.9× 62 0.6× 50 0.6× 70 0.9× 21 0.3× 19 308
Chengyun Yan 187 1.2× 140 1.4× 42 0.5× 68 0.9× 32 0.5× 19 380
Nirnoy Dan 138 0.9× 116 1.2× 100 1.1× 28 0.4× 39 0.6× 9 368
Lei Yan 224 1.4× 65 0.7× 31 0.4× 126 1.7× 63 0.9× 25 389
Zhile Liu 185 1.1× 62 0.6× 38 0.4× 114 1.5× 28 0.4× 14 322
Mingzhen Lin 166 1.0× 70 0.7× 101 1.2× 74 1.0× 28 0.4× 17 401

Countries citing papers authored by Valentin Florian Rauca

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Florian Rauca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Florian Rauca. 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 Valentin Florian Rauca. The network helps show where Valentin Florian Rauca may publish in the future.

Co-authorship network of co-authors of Valentin Florian Rauca

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Florian Rauca. A scholar is included among the top collaborators of Valentin Florian Rauca 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 Valentin Florian Rauca. Valentin Florian Rauca 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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