Maryam Foroozesh

1.9k citations
63 papers · 1.6k indexed · h-index 25
Topics
Pharmacogenetics and Drug Metabolism (32 papers)Computational Drug Discovery Methods (18 papers)Sphingolipid Metabolism and Signaling (11 papers)
Journals
SHILAP Revista de lepidopterologíaBloodBiochemistry
Partner nations
United StatesChinaJapan

In The Last Decade

Maryam Foroozesh

61 papers receiving 1.6k citations

Peers

Maryam Foroozesh
Comparison fields: 5 of 111
  • Pharmacology 764
  • Molecular Biology 658
  • Computational Theory and Mathematics 290
  • Oncology 278
  • Organic Chemistry 238
Replace Donghak Kim with:
Donghak Kim South Korea
Zhengyin Yan United States
Vaughn P. Miller United States
John R. Soglia United States
Rakesh Paul India
Andrew D. Ayrton United Kingdom
Jie Hou China
Tetsuo Satoh Japan
Nathalie Chauret Canada
Shawn Harriman United States
Maryam Foroozesh relative to Donghak Kim South Korea Donghak Kim's profile →
Citations per field
00.5×1.7×
Donghak Kim · 1×
Citations per year

Countries citing papers authored by Maryam Foroozesh

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Foroozesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Foroozesh

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Foroozesh. A scholar is included among the top collaborators of Maryam Foroozesh 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 Maryam Foroozesh. Maryam Foroozesh 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 1
2 2
3 0
4 2
5 3
6 1
7 54
8 0
9 5
10 12
11 22
12 18
13 3
14 15
15 18
16 22
17 7
18 11
19 80
20 50

About Maryam Foroozesh

Maryam Foroozesh is a scholar working on Pharmacology, Computational Theory and Mathematics and Toxicology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (32 papers), Computational Drug Discovery Methods (18 papers) and Sphingolipid Metabolism and Signaling (11 papers). The work is most often cited by research in Pharmacology (764 citations), Computational Theory and Mathematics (290 citations) and Toxicology (47 citations). Maryam Foroozesh has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jiawang Liu, Jayalakshmi Sridhar, William L. Alworth, F. Peter Guengerich, Nancy Eddy Hopkins, Hiroshi Yamazaki, Tsutomu Shimada, C.L.K. Stevens, Navneet Goyal and Barbara S. Beckman. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026