Imran Riaz Malik

869 citations
38 papers · 631 · h-index 12

Impact in

Papers in

Imran Riaz Malik

35 papers receiving 619 citations

Peers

Imran Riaz Malik
Comparison fields: 5 of 116
  • Pharmaceutical Science 41
  • Biological Psychiatry 13
  • Molecular Medicine 23
  • Neurology 32
  • Clinical Biochemistry 25
Replace Norah Abdullah Albekairi with:
Norah Abdullah Albekairi Saudi Arabia
Qingqing Li China
Xinchun Wang China
Xin‐Li Liang China
Vikram Patial India
Mahshid Ghasemi Australia
Robert Zdanowski Poland
Ali Taghizadehghalehjoughi Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Imran Riaz Malik

Since Specialization
Citations

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

Fields of papers citing papers by Imran Riaz Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imran Riaz Malik. 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 Imran Riaz Malik. The network helps show where Imran Riaz Malik may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 202067
3 202044
4 201942
5 202235
6 200731
7 201829
8 200526
9 202323
10 200122
11 202119
12 202217
13 201612
14 202312
15 202512
16 202411
17 20119
18 20139
19 20209
20 20209

About Imran Riaz Malik

Imran Riaz Malik is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Hepatology, Biomedical Engineering and Nutrition and Dietetics, having authored 38 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (3 papers), Fatty Acid Research and Health (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipid Membrane Structure and Behavior (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Thyroid Disorders and Treatments (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Pharmaceutical Science (41 citations), Biological Psychiatry (13 citations), Molecular Medicine (23 citations), Neurology (32 citations) and Clinical Biochemistry (25 citations). Imran Riaz Malik has collaborated with scholars based in Pakistan, Saudi Arabia and Canada. Frequent co-authors include Muhammad Hussnain Siddique, Saima Muzammil, Sumreen Hayat, Fawad Ali Shah, Zia Ul Haq Khan, Muhammad Afzal, Muhammad Imran, Mohsin Khurshid, Bilal Aslam and Asma Ashraf. Their work appears in journals such as Genes, Saudi Journal of Biological Sciences, Public Health Genomics, Molecular & Cellular Proteomics and Journal of Neurology Neurosurgery & Psychiatry.

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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