Saeid Abroun

426 total citations
34 papers, 321 citations indexed

About

Saeid Abroun is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Saeid Abroun has authored 34 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Hematology. Recurrent topics in Saeid Abroun's work include Mesenchymal stem cell research (11 papers), Multiple Myeloma Research and Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Saeid Abroun is often cited by papers focused on Mesenchymal stem cell research (11 papers), Multiple Myeloma Research and Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Saeid Abroun collaborates with scholars based in Iran, Japan and Netherlands. Saeid Abroun's co-authors include Najmaldin Saki, Masoud Soleimani, Seyed Javad Mowla, Majid Farshdousti Hagh, Morteza Zarrabi, Bahareh Sadeghi, Mohammad Shahjahani, Naohiro Tsuyama, Michio Kawano and Maria Kavianpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Oncogene.

In The Last Decade

Saeid Abroun

33 papers receiving 317 citations

Peers

Saeid Abroun
Comparison fields: 5 of 58
  • Molecular Biology 164
  • Genetics 136
  • Hematology 111
  • Oncology 67
  • Immunology 51
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Carmen Azqueta Spain
Mark van der Garde United Kingdom
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Andrea Tiemi Kondo Brazil
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Citations per field, relative to Saeid Abroun
Saeid Abroun · 1×
Citations per year, relative to Saeid Abroun
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Countries citing papers authored by Saeid Abroun

Since Specialization
Citations

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

Fields of papers citing papers by Saeid Abroun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Abroun

This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Abroun. A scholar is included among the top collaborators of Saeid Abroun 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 Saeid Abroun. Saeid Abroun 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
# Work Indexed citations
1 2
2 2
3 10
4 4
5 8
6 16
7 1
8 8
9 32
10 9
11 29
12 4
13
Association of Chromosomal Translocation and MiRNA Expression with The Pathogenesis of Multiple Myeloma
3
14
Potential uses for cord blood mesenchymal stem cells.
23
15
Evaluation of Effect of As2O3 on Cell Growth, Cell Cycle and Apoptosis in Human Leukemia Cell Line HL-60
2
16 10
17
Evaluation the Effect of Thalidomide and Sodium Butyrate on Cord Blood Stem Cell Differentiation Induction to Erythroid Lineage
7
18
Chemokines in Homeostasis and Cancers
7
19 29
20 1

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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