Morteza Sadeghi

438 citations
37 papers · 329 indexed · h-index 11

Morteza Sadeghi

31 papers receiving 324 citations

Peers

Morteza Sadeghi
Comparison fields: 5 of 61
  • Biochemistry 72
  • Endocrinology, Diabetes and Metabolism 91
  • Clinical Biochemistry 34
  • Computational Theory and Mathematics 71
  • Pharmacology 70
Replace Mariana Torres‐Piedra with:
Mariana Torres‐Piedra Mexico
Humera Jahan Pakistan
Srinath Pashikanti United States
Leslie K. Williams Canada
Yuchi Kong China
Hatice Esra Duran Türkiye
Rüya Sağlamtaş Türkiye
Shehryar Hameed Pakistan
Rongzu Nie China
Shabnam Mahernia Iran
Morteza Sadeghi relative to Mariana Torres‐Piedra Mexico Mariana Torres‐Piedra's profile →
Citations per field
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Citations per year

Countries citing papers authored by Morteza Sadeghi

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Sadeghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Morteza Sadeghi, 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 Morteza Sadeghi Line = papers co-authored together Morteza Sadeghi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20247
4 20244
5 20244
6 20238
7 20232
8 20234
9 202313
10 20233
11 20231
12 202322
13 202230
14 202211
15 202216
16
In Silico Investigation of Flavanone Compounds' Inhibitory Effects on Alpha-Amylase Enzyme and Predicting their Inhibitory Role in Diabetes Progression
20212
17 202129
18 20101
19
Investigation of gelatinase- B enzyme role in invasion and metastasis of breast cancer
20082
20
Anti-hyperlycemic and hypolipidemic effect of oral administration of Capsicum frutescens in male STZ-diabetic rats
20044

About Morteza Sadeghi

Morteza Sadeghi is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 37 papers that have together received 329 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (18 papers), Phytochemicals and Antioxidant Activities (13 papers), Computational Drug Discovery Methods (8 papers), Enzyme function and inhibition (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Advanced Glycation End Products research (5 papers), Pharmacological Effects of Natural Compounds (3 papers) and Berberine and alkaloids research (2 papers). The work is most often cited by research in Biochemistry (72 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Clinical Biochemistry (34 citations). Morteza Sadeghi has collaborated with scholars based in Iran, Türkiye and Poland. Frequent co-authors include Mehran Miroliaei, Parham Taslımı, Mohammad Moradi, Mustafa Ghanadian, Feyzi Sinan Tokalı, Halil Şenol, Hamid Madanchi, Behrooz Johari, Sattar Gorgani‐Firuzjaee and Mohammad Zarei. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Biological Macromolecules.

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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