Fatemeh Ezzatifar

29 total papers · 578 total citations
23 papers, 429 citations indexed

About

Fatemeh Ezzatifar is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fatemeh Ezzatifar has authored 23 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Fatemeh Ezzatifar's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers) and RNA and protein synthesis mechanisms (3 papers). Fatemeh Ezzatifar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers) and RNA and protein synthesis mechanisms (3 papers). Fatemeh Ezzatifar collaborates with scholars based in Iran, Russia and Belgium. Fatemeh Ezzatifar's co-authors include Jamshid Gholizadeh Navashenaq, Arezoo Gowhari Shabgah, Majid Ahmadi, Sajad Najafi, Yahya Asemani, Hamed Mohammadi, Seyed Mohammad Gheibihayat, Amirmorteza Ebrahimzadeh Namvar, Abdolaziz Rastegar Lari and Babak Asghari and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Fatemeh Ezzatifar

22 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Fatemeh Ezzatifar 226 90 78 65 58 23 429
Jacob Cardenas 200 0.9× 139 1.5× 79 1.0× 76 1.2× 35 0.6× 15 459
Arong Gaowa 252 1.1× 114 1.3× 82 1.1× 51 0.8× 37 0.6× 32 459
Qiu Yan 206 0.9× 73 0.8× 72 0.9× 85 1.3× 33 0.6× 28 472
Maysam Mard‐Soltani 174 0.8× 72 0.8× 59 0.8× 106 1.6× 53 0.9× 30 380
Izabela Szulc-Kiełbik 206 0.9× 118 1.3× 69 0.9× 90 1.4× 56 1.0× 26 451
Yunmeng Bai 172 0.8× 80 0.9× 80 1.0× 47 0.7× 62 1.1× 29 368
Yuanyuan Sun 150 0.7× 104 1.2× 67 0.9× 63 1.0× 28 0.5× 28 475
Matthew P. Bernard 174 0.8× 117 1.3× 68 0.9× 39 0.6× 36 0.6× 22 420
Xiaoqin Zheng 149 0.7× 73 0.8× 56 0.7× 41 0.6× 34 0.6× 26 381
Arezou Khosrojerdi 204 0.9× 124 1.4× 50 0.6× 55 0.8× 36 0.6× 30 446

Countries citing papers authored by Fatemeh Ezzatifar

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Ezzatifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Ezzatifar

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