Samreen Riaz

23 papers receiving 277 citations

Peers

Samreen Riaz
Comparison fields: 5 of 79
  • Nephrology 20
  • Endocrinology, Diabetes and Metabolism 44
  • Clinical Biochemistry 13
  • Soil Science 18
  • Neurology 25
Replace Valeria Margherita Petrolini with:
Valeria Margherita Petrolini Italy
Peter Sizeland New Zealand
M Leclercq France
Peng‐Fei Xia China
Didi O. T. Nordberg Sweden
Yoshiko Kagawa Japan
Ruyi Liang China
Antonius M. Beijers Netherlands
Hyun Shik Son South Korea
Lars Blom Denmark
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Citations per field
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Valeria Margherita Petrolini · 1×
Citations per year

Countries citing papers authored by Samreen Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Samreen Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Samreen Riaz, 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 Samreen Riaz Line = papers co-authored together Samreen Riaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200953
2 202246
3 201537
4 201636
5 201032
6 201021
7 201013
8 200911
9 20205
10 20145
11
Association of Serum Protein Levels in the Diabetic Patients with Risk of Cardiovascular Disease and Nephropathy in Pakistani Population
20184
12 20233
13 20213
14 20143
15 20202
16 20202
17 20222
18 20202
19 20201
20 20241

About Samreen Riaz

Samreen Riaz is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Physiology and Molecular Biology, having authored 30 papers that have together received 285 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Urinary Tract Infections Management (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Diabetes Management and Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Nephrology (20 citations), Endocrinology, Diabetes and Metabolism (44 citations), Clinical Biochemistry (13 citations), Soil Science (18 citations) and Neurology (25 citations). Samreen Riaz has collaborated with scholars based in Pakistan, United Kingdom and Saudi Arabia. Frequent co-authors include Muhammad Akhtar, Surjit Kaila Srai, Vernon Skinner, Shahida Hasnain, Atif Yaqub, Muhammad Saleem Khan, Muhammad Waseem, Abdul Wajid, Asia Parveen and Atif Hanif. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of Pharmaceutical and Biomedical Analysis, Biological Trace Element Research, Molecular Biology Reports and Diabetes & Metabolic Syndrome Clinical Research & Reviews.

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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