Sako Mirzaie

1.1k citations
47 papers · 857 indexed · h-index 17
Topics
Computational Drug Discovery Methods (7 papers)Advancements in Transdermal Drug Delivery (6 papers)Chemical Synthesis and Analysis (5 papers)
Journals
ScienceNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
IranItalyCanada

In The Last Decade

Sako Mirzaie

44 papers receiving 852 citations

Peers

Sako Mirzaie
Comparison fields: 5 of 107
  • Molecular Biology 377
  • Infectious Diseases 149
  • Computational Theory and Mathematics 144
  • Organic Chemistry 98
  • Pharmaceutical Science 84
Replace Kyung Eun Lee with:
Kyung Eun Lee South Korea
Shopnil Akash Bangladesh
Shifaa M. Abdin United Arab Emirates
Siva Prasad Panda India
Nizar A. Al‐Shar’i Jordan
Parasuraman Pavadai India
Habibullah Khalilullah India
Jiaqi Li China
Hani Z. Asfour Saudi Arabia
Carmine Ostacolo Italy
Sako Mirzaie relative to Kyung Eun Lee South Korea Kyung Eun Lee's profile →
Citations per field
00.5×
Kyung Eun Lee · 1×
Citations per year

Countries citing papers authored by Sako Mirzaie

Since Specialization
Citations

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

Fields of papers citing papers by Sako Mirzaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sako Mirzaie

This figure shows the co-authorship network connecting the top 25 collaborators of Sako Mirzaie. A scholar is included among the top collaborators of Sako Mirzaie 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 Sako Mirzaie. Sako Mirzaie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 0
4 36
5 40
6 5
7 16
8 3
9 4
10 10
11 22
12 16
13 11
14 28
15 8
16 15
17 27
18 3
19 12
20 13

About Sako Mirzaie

Sako Mirzaie is a scholar working on Pharmaceutical Science, Molecular Medicine and Biochemistry, having authored 47 papers that have together received 857 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Advancements in Transdermal Drug Delivery (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Pharmaceutical Science (84 citations), Biochemistry (56 citations) and Computational Theory and Mathematics (144 citations). Sako Mirzaie has collaborated with scholars based in Iran, Italy and Canada. Frequent co-authors include Adriano Mollica, Fatemeh Abdi, Azzurra Stefanucci, Xinyong Liu, Peng Zhan, Siyu Xiu, Alexej Dick, Ettore Novellino, Han Ju and Simon Cocklin. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

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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