Vahid Sheibani

115 total papers · 1.8k total citations
96 papers, 1.4k citations indexed

About

Vahid Sheibani is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Vahid Sheibani has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 34 papers in Cognitive Neuroscience and 18 papers in Social Psychology. Recurrent topics in Vahid Sheibani's work include Neuroscience and Neuropharmacology Research (30 papers), Neuroendocrine regulation and behavior (17 papers) and Stress Responses and Cortisol (15 papers). Vahid Sheibani is often cited by papers focused on Neuroscience and Neuropharmacology Research (30 papers), Neuroendocrine regulation and behavior (17 papers) and Stress Responses and Cortisol (15 papers). Vahid Sheibani collaborates with scholars based in Iran, Canada and Denmark. Vahid Sheibani's co-authors include Mohammad Shabani, Khadijeh Esmaeilpour, Saeed Esmaeili‐Mahani, Vahid Hajali, Nouzar Nakhaee, Mohammad Reza Afarinesh, Mohammad Amin Rajizadeh, Javad Mirnajafi‐Zadeh, Behshid Garrusi and Yaser Masoumi‐Ardakani and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Vahid Sheibani

95 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Vahid Sheibani 399 356 214 184 181 96 1.4k
Bindu M. Kutty 481 1.2× 322 0.9× 197 0.9× 154 0.8× 149 0.8× 69 1.3k
Christophe Piérard 639 1.6× 419 1.2× 282 1.3× 287 1.6× 198 1.1× 63 1.6k
Paola De Bartolo 393 1.0× 432 1.2× 219 1.0× 154 0.8× 250 1.4× 58 1.8k
Mária Simon 295 0.7× 434 1.2× 544 2.5× 173 0.9× 223 1.2× 56 1.8k
Astrid Bjørnebekk 261 0.7× 305 0.9× 261 1.2× 155 0.8× 278 1.5× 49 1.6k
John G. McCoy 478 1.2× 304 0.9× 126 0.6× 247 1.3× 152 0.8× 33 1.1k
P. Moleman 218 0.5× 449 1.3× 246 1.1× 173 0.9× 313 1.7× 68 1.8k
Gustavo A. Angarita 488 1.2× 511 1.4× 192 0.9× 326 1.8× 183 1.0× 74 1.7k
Nasser Naghdi 522 1.3× 718 2.0× 291 1.4× 132 0.7× 335 1.9× 80 1.7k
Jotaro Akiyoshi 284 0.7× 489 1.4× 429 2.0× 237 1.3× 267 1.5× 82 1.6k

Countries citing papers authored by Vahid Sheibani

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Sheibani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Sheibani

This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Sheibani. A scholar is included among the top collaborators of Vahid Sheibani 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 Vahid Sheibani. Vahid Sheibani 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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2026