Uzma Malik

41 papers receiving 989 citations

Peers

Uzma Malik
Comparison fields: 5 of 129
  • Pathology and Forensic Medicine 198
  • Biochemistry 65
  • Biological Psychiatry 19
  • Water Science and Technology 94
  • Analytical Chemistry 58
Replace Reena V. Saini with:
Reena V. Saini India
Kapil Dev India
Azhwar Raghunath India
Hongzhi Pan China
Mustafa Şahin Türkiye
Shiuan‐Shinn Lee Taiwan
Ying Zhao China
Jie‐Hua Chen China
Hadi Parsian Iran
Uzma Malik relative to Reena V. Saini India Reena V. Saini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Uzma Malik

Since Specialization
Citations

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

Fields of papers citing papers by Uzma Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013297
2 2004129
3 2022122
4 2004112
5 201564
6 200540
7 201432
8 201819
9 201618
10 202314
11
Efficacy of oral vitamin D on glycated haemoglobin (HbA1c) in type 2 diabetics having vitamin D deficiency - A randomized controlled trial.
201813
12 202212
13 200212
14 201612
15 202110
16
Montelukast Reduces the Risk of Dengue Shock Syndrome in Dengue Patients.
201810
17
Validity of GRACE Risk Score as a Prognostic Marker of In-hospital Mortality after Acute Coronary Syndrome.
20178
18 20168
19 20177
20 20167

About Uzma Malik

Uzma Malik is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Materials Chemistry, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Laser-Ablation Synthesis of Nanoparticles (3 papers), Ubiquitin and proteasome pathways (2 papers), ZnO doping and properties (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiac Health and Mental Health (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (198 citations), Biochemistry (65 citations), Biological Psychiatry (19 citations), Water Science and Technology (94 citations) and Analytical Chemistry (58 citations). Uzma Malik has collaborated with scholars based in Pakistan, United States and Australia. Frequent co-authors include Hira Iqbal, Sobia Mushtaq, Khizar Hayat, M. S. Subhani, S. M. Hasany, Shamshad Zarina, Stephen R. Pennington, Suresh K. Bhargava, Akhela Umapathi and Ragini Singh. Their work appears in journals such as Gene, ACS Omega, Current Cancer Drug Targets, International Journal of Radiation Oncology*Biology*Physics and Applied Surface Science.

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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