Mina Maleki

1.3k citations
76 papers · 911 · h-index 18

Impact in

Papers in

Mina Maleki

65 papers receiving 889 citations

Peers

Mina Maleki
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 247
  • Automotive Engineering 66
  • Nephrology 34
  • Molecular Biology 236
  • Physiology 80
Replace Yuqi Cui with:
Yuqi Cui China
Yu Zhao China
Ling Fu China
Shih‐Hao Wang Taiwan
You-Wei Lin Taiwan
Fei Zuo United States
Prabhu Ramamoorthy United States
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Minghao Ye United States
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Citations per field
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Citations per year

Countries citing papers authored by Mina Maleki

Since Specialization
Citations

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

Fields of papers citing papers by Mina Maleki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201955
3 201953
4 202048
5 202146
6
A RSS-based fingerprinting method for positioning based on historical data
201042
7 202340
8 202234
9 202434
10 200933
11 201928
12 202027
13 202124
14 202123
15 202223
16 202120
17 202018
18 201118
19 202316
20 201316

About Mina Maleki

Mina Maleki is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Automotive Engineering and Electrical and Electronic Engineering, having authored 76 papers that have together received 911 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Pancreatic function and diabetes (12 papers), Protein Structure and Dynamics (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Computational Drug Discovery Methods (7 papers), Advanced Battery Technologies Research (6 papers), Indoor and Outdoor Localization Technologies (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (247 citations), Automotive Engineering (66 citations), Nephrology (34 citations), Molecular Biology (236 citations) and Physiology (80 citations). Mina Maleki has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Habib Yaribeygi, Amirhossein Sahebkar, Tannaz Jamialahmadi, Thozhukat Sathyapalan, Shadi Banitaan, Luis Rueda, Alexandra E. Butler, Yichun Li, Alawi Sulaiman and Keikhosro Karimi. Their work appears in journals such as Life Sciences, Current Medicinal Chemistry, IEEE Access, Advances in experimental medicine and biology and Journal of Clinical Medicine.

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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