Sharif Moradi

43 total papers · 947 total citations
33 papers, 681 citations indexed

About

Sharif Moradi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Sharif Moradi has authored 33 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Sharif Moradi's work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and MicroRNA in disease regulation (7 papers). Sharif Moradi is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and MicroRNA in disease regulation (7 papers). Sharif Moradi collaborates with scholars based in Iran, Germany and United States. Sharif Moradi's co-authors include Hossein Baharvand, Tomo Šarić, Boris Greber, Johnny Kim, Hosein Shahsavarani, Javad Harati, Joseph B. Moore, Thomas Braun, Sassan Asgari and Ali Sharifi‐Zarchi and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sharif Moradi

31 papers receiving 670 citations

Author Peers

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

Author Last Decade Papers Cites
Sharif Moradi 470 116 93 85 80 33 681
Nina Hagemann 368 0.8× 89 0.8× 58 0.6× 55 0.6× 63 0.8× 27 759
John Antonydas Gaspar 492 1.0× 93 0.8× 88 0.9× 88 1.0× 59 0.7× 27 711
Nutan Prasain 452 1.0× 77 0.7× 80 0.9× 99 1.2× 88 1.1× 17 773
Bin Sun 298 0.6× 80 0.7× 85 0.9× 65 0.8× 111 1.4× 29 679
Zhonglin Liu 377 0.8× 114 1.0× 65 0.7× 108 1.3× 45 0.6× 39 715
Piera Smeriglio 384 0.8× 89 0.8× 148 1.6× 82 1.0× 43 0.5× 31 720
Gabriel Gaidosh 444 0.9× 46 0.4× 65 0.7× 97 1.1× 72 0.9× 18 737
Zhigang Yang 299 0.6× 112 1.0× 98 1.1× 77 0.9× 66 0.8× 45 728
Yoshihiro Yoshikawa 403 0.9× 67 0.6× 71 0.8× 124 1.5× 78 1.0× 26 670
Hitomi Takada 402 0.9× 65 0.6× 75 0.8× 51 0.6× 51 0.6× 17 574

Countries citing papers authored by Sharif Moradi

Since Specialization
Citations

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

Fields of papers citing papers by Sharif Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharif Moradi

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