Mahdi Rivandi

47 total papers · 552 total citations
23 papers, 232 citations indexed

About

Mahdi Rivandi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mahdi Rivandi has authored 23 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Mahdi Rivandi's work include Cancer Genomics and Diagnostics (6 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related molecular mechanisms research (3 papers). Mahdi Rivandi is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related molecular mechanisms research (3 papers). Mahdi Rivandi collaborates with scholars based in Iran, United Kingdom and Germany. Mahdi Rivandi's co-authors include Alireza Pasdar, Amir Tajbakhsh, Amirhossein Sahebkar, Soheila Abedini, Gordon A. Ferns, Amir Avan, Antoinette Hollestelle, John W.M. Martens, Malihe Hasanzadeh and Mehdi Rezaee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Mahdi Rivandi

23 papers receiving 230 citations

Author Peers

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

Author Last Decade Papers Cites
Mahdi Rivandi 134 98 51 31 25 23 232
Shuya Sun 188 1.4× 64 0.7× 67 1.3× 34 1.1× 24 1.0× 19 316
Xiaoqing Su 133 1.0× 76 0.8× 66 1.3× 20 0.6× 21 0.8× 20 284
Taro Miyagawa 134 1.0× 50 0.5× 39 0.8× 15 0.5× 28 1.1× 21 233
Wanjian Gu 186 1.4× 111 1.1× 44 0.9× 13 0.4× 37 1.5× 38 324
Liang Zhang 152 1.1× 102 1.0× 49 1.0× 23 0.7× 40 1.6× 20 262
Guoxin Zhang 173 1.3× 49 0.5× 42 0.8× 24 0.8× 18 0.7× 25 258
Ivana Grbeša 170 1.3× 75 0.8× 44 0.9× 29 0.9× 52 2.1× 16 266
Junlong Liu 171 1.3× 45 0.5× 30 0.6× 29 0.9× 39 1.6× 23 306
Hassan Dastsooz 189 1.4× 59 0.6× 33 0.6× 28 0.9× 32 1.3× 32 291
Dongyue Ma 181 1.4× 78 0.8× 28 0.5× 21 0.7× 20 0.8× 24 266

Countries citing papers authored by Mahdi Rivandi

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Rivandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Rivandi

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