Imran Malik

837 citations
36 papers · 575 · h-index 13

Impact in

Papers in

Imran Malik

33 papers receiving 561 citations

Peers

Imran Malik
Comparison fields: 5 of 115
  • Pharmaceutical Science 42
  • Biological Psychiatry 12
  • Molecular Medicine 21
  • Neurology 32
  • Clinical Biochemistry 23
Replace Norah A. Albekairi with:
Norah A. Albekairi Saudi Arabia
Yannis V. Simos Greece
Qingqing Li China
Xinchun Wang China
Xin‐Li Liang China
Samuel Legeay France
Zhimin Ci China
Piergiorgio Pettazzoni Italy
Vikram Patial India
Xiaopeng Ai China
Imran Malik relative to Norah A. Albekairi Saudi Arabia Norah A. Albekairi's profile →
Citations per field
00.5×
Norah A. Albekairi · 1×
Citations per year

Countries citing papers authored by Imran Malik

Since Specialization
Citations

This map shows the geographic impact of Imran 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 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 Malik more than expected).

Fields of papers citing papers by Imran Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2 202054
3 202043
4 201942
5 200732
6 202232
7 201827
8 200525
9 202323
10 200123
11 202119
12 202215
13 201612
14 20239
15 20249
16 20139
17 20208
18 20118
19 20218
20 20256

About Imran Malik

Imran Malik is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 36 papers that have together received 575 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (3 papers), Advanced Chemical Sensor Technologies (3 papers), Hepatitis C virus research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Plant Micronutrient Interactions and Effects (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Nanoparticles: synthesis and applications (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Pharmaceutical Science (42 citations), Biological Psychiatry (12 citations), Molecular Medicine (21 citations), Neurology (32 citations) and Clinical Biochemistry (23 citations). Imran Malik has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Muhammad Hussnain Siddique, Saima Muzammil, Sumreen Hayat, Fawad Ali Shah, Mohsin Khurshid, Muhammad Imran, Bilal Aslam, Muhammad Afzal, Habibullah Nadeem and Zia Ul Haq Khan. Their work appears in journals such as Genes, Saudi Journal of Biological Sciences, BMC Microbiology, BioMed Research International and Dose-Response.

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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