Mahsa Zarei

1.2k citations
32 papers · 813 indexed · h-index 16

Mahsa Zarei

31 papers receiving 798 citations

Peers

Mahsa Zarei
Comparison fields: 5 of 98
  • Cancer Research 170
  • Oncology 203
  • Complementary and alternative medicine 61
  • Molecular Biology 402
  • Immunology 94
Replace Yizeng Fan with:
Yizeng Fan China
Zhen Guo China
Sensen Lin China
Ji‐Hye Ahn South Korea
Suyun Yu China
Jianguo Cao China
Itishree Kaushik United States
Jiaxuan Qiu China
Marzanna Cechowska‐Pasko Poland
Shakti Ranjan Satapathy India
Mahsa Zarei relative to Yizeng Fan China Yizeng Fan's profile →
Citations per field
00.5×10×16×
Yizeng Fan · 1×
Citations per year

Countries citing papers authored by Mahsa Zarei

Since Specialization
Citations

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

Fields of papers citing papers by Mahsa Zarei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mahsa Zarei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mahsa Zarei Line = papers co-authored together Mahsa Zarei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202355
2 202217
3 20216
4 202053
5 20207
6 202014
7 201917
8 20191
9 201925
10 201926
11 201784
12 201741
13 201764
14 201648
15 201619
16
Cardioprotective effect of the root extract of Hemidesmus indicus against doxorubicin -induced oxidative stress in mice
20134
17
ANTITUMOR EFFECT OF DECALEPIS HAMILTONII ROOT EXTRACT AGAINST EHRLICH ASCITES TUMOR IN MICE
20131
18 201381
19 201210
20 201118

About Mahsa Zarei

Mahsa Zarei is a scholar working on Toxicology, Molecular Medicine, Cancer Research, Complementary and alternative medicine and Pharmacology, having authored 32 papers that have together received 813 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Nuclear Receptors and Signaling (4 papers), Phytochemistry and Bioactivity Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Tuberous Sclerosis Complex Research (3 papers), Renal and related cancers (3 papers), Flavonoids in Medical Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (170 citations), Oncology (203 citations), Complementary and alternative medicine (61 citations), Molecular Biology (402 citations) and Immunology (94 citations). Mahsa Zarei has collaborated with scholars based in United States, Iran and India. Frequent co-authors include T. Shivanandappa, Jonathan R. Brody, Jordan M. Winter, Ali Vaziri‐Gohar, Charles J. Yeo, Saswati N. Chand, Shruti Lal, Shubha Gopal, Ehsan Karimi and Ehsan Oskoueian. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Molecular Cancer Therapeutics, Scientific Reports and Food and Chemical Toxicology.

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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