Saba Hajazimian

707 citations
27 papers · 489 indexed · h-index 15
Topics
MicroRNA in disease regulation (3 papers)Curcumin's Biomedical Applications (3 papers)CRISPR and Genetic Engineering (2 papers)
Journals
SHILAP Revista de lepidopterologíaLife SciencesJournal of Cellular Physiology

In The Last Decade

Saba Hajazimian

27 papers receiving 476 citations

Peers

Saba Hajazimian
Comparison fields: 5 of 87
  • Molecular Biology 217
  • Oncology 99
  • Cancer Research 87
  • Genetics 72
  • Immunology 64
Replace Francesco Merlino with:
Francesco Merlino Italy
Alireza Isazadeh Iran
Mohsen Rastegari‐Pouyani Iran
Michał Kiełbik Poland
Yingyu Lu China
Hong Yi China
Shiduo Song China
Peng Lyu China
Anvar Soleimani Iran
Xiuli Zhang China
Saba Hajazimian relative to Francesco Merlino Italy Francesco Merlino's profile →
Citations per field
00.5×1.5×2.1×
Francesco Merlino · 1×
Citations per year

Countries citing papers authored by Saba Hajazimian

Since Specialization
Citations

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

Fields of papers citing papers by Saba Hajazimian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Hajazimian

This figure shows the co-authorship network connecting the top 25 collaborators of Saba Hajazimian. A scholar is included among the top collaborators of Saba Hajazimian 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 Saba Hajazimian. Saba Hajazimian 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 16
2 3
3 13
4 56
5 23
6 34
7 6
8 9
9 16
10 19
11 20
12 17
13 47
14 26
15 5
16
A Novel Homozygous MYO7A Mutation: Case Report
3
17 9
18 13
19 7
20 15

About Saba Hajazimian

Saba Hajazimian is a scholar working on Molecular Medicine, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 27 papers that have together received 489 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Curcumin's Biomedical Applications (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (36 citations), Cancer Research (87 citations) and Endocrine and Autonomic Systems (29 citations). Saba Hajazimian has collaborated with scholars based in Iran, Türkiye and United Kingdom. Frequent co-authors include Alireza Isazadeh, Behzad Baradaran, Sina Taefehshokr, Nazila Fathi Maroufi, Pouya Goleij, Behrouz Shademan, Javad Behroozi, Vahid Vahedian, Dariush Shanehbandi and Masoud Maleki. Their work appears in journals such as SHILAP Revista de lepidopterología, Life Sciences and Journal of Cellular Physiology.

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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