Majid Moridani

2.5k citations
44 papers · 2.1k indexed · h-index 25
Topics
Genomics, phytochemicals, and oxidative stress (9 papers)Pharmacogenetics and Drug Metabolism (9 papers)Computational Drug Discovery Methods (9 papers)

In The Last Decade

Majid Moridani

44 papers receiving 2.0k citations

Peers

Majid Moridani
Comparison fields: 5 of 139
  • Molecular Biology 724
  • Biochemistry 482
  • Organic Chemistry 433
  • Plant Science 241
  • Pharmacology 217
Replace Estefanía Burgos‐Morón with:
Estefanía Burgos‐Morón Spain
Tom S. Chan United States
M.K. Unnikrishnan India
Hester van der Woude Netherlands
Zai‐Qun Liu China
Milan Štefek Slovakia
Teruo Mukainaka Japan
Masataka Yoshino Japan
Idolo Tedesco Italy
Giuseppe Galati Italy
Majid Moridani relative to Estefanía Burgos‐Morón Spain Estefanía Burgos‐Morón's profile →
Citations per field
00.5×1.7×
Estefanía Burgos‐Morón · 1×
Citations per year

Countries citing papers authored by Majid Moridani

Since Specialization
Citations

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

Fields of papers citing papers by Majid Moridani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majid Moridani

This figure shows the co-authorship network connecting the top 25 collaborators of Majid Moridani. A scholar is included among the top collaborators of Majid Moridani 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 Majid Moridani. Majid Moridani 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 46
2 75
3 33
4 52
5 36
6
The pharmacogenetics of cytochrome P450 enzymes in personalized medicine
2
7 13
8 51
9 18
10 44
11 118
12 21
13 23
14 54
15 19
16 64
17 30
18 175
19 15
20 31

About Majid Moridani

Majid Moridani is a scholar working on Biochemistry, Pharmacology and Computational Theory and Mathematics, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (9 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Biochemistry (482 citations), Toxicology (100 citations) and Pharmacology (217 citations). Majid Moridani has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter J. O’Brien, Giuseppe Galati, Arno G. Siraki, Tom S. Chan, Jalal Pourahmad, Shirley Teng, Shashi Kudugunti, Nikhil Vad, K Beard and Raymond Poon. Their work appears in journals such as Cancer Research, Free Radical Biology and Medicine and International Journal of Cancer.

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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