Tanina Arab

21 total papers · 11.2k total citations
12 papers, 341 citations indexed

About

Tanina Arab is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Tanina Arab has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Neurology. Recurrent topics in Tanina Arab's work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Tanina Arab is often cited by papers focused on Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Tanina Arab collaborates with scholars based in United States, France and Germany. Tanina Arab's co-authors include Kenneth W. Witwer, Yiyao Huang, Christelle Van Camp, Antonella Raffo‐Romero, Jacopo Vizioli, Emily R. Mallick, Christophe Lefebvre, Michel Salzet, P. Sautière and Barbara S. Slusher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Scientific Reports.

In The Last Decade

Tanina Arab

12 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Tanina Arab 288 130 63 60 36 12 341
Allaura S. Cone 246 0.9× 114 0.9× 31 0.5× 38 0.6× 25 0.7× 11 348
Juliana M. Coelho‐Aguiar 190 0.7× 47 0.4× 40 0.6× 59 1.0× 23 0.6× 11 385
Kristina Pagh Friis 318 1.1× 144 1.1× 16 0.3× 44 0.7× 42 1.2× 8 380
Chiara Alberti 246 0.9× 160 1.2× 19 0.3× 48 0.8× 12 0.3× 11 369
Pia Pužar Dominkuš 277 1.0× 143 1.1× 14 0.2× 38 0.6× 44 1.2× 7 336
Robin Dittrich 289 1.0× 150 1.2× 34 0.5× 40 0.7× 23 0.6× 13 343
Leanne C. Duke 298 1.0× 137 1.1× 26 0.4× 43 0.7× 40 1.1× 10 398
Edward J. Richards 259 0.9× 200 1.5× 30 0.5× 56 0.9× 19 0.5× 8 391
Martin Ng 260 0.9× 64 0.5× 20 0.3× 83 1.4× 26 0.7× 15 383
Stefano Gelibter 261 0.9× 122 0.9× 32 0.5× 43 0.7× 19 0.5× 18 365

Countries citing papers authored by Tanina Arab

Since Specialization
Citations

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

Fields of papers citing papers by Tanina Arab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanina Arab

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