Samreen Riaz

26 papers receiving 295 citations

Peers

Samreen Riaz
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 49
  • Nephrology 20
  • Soil Science 22
  • Clinical Biochemistry 13
  • Neurology 26
Replace José Manuel González de Buitrago with:
José Manuel González de Buitrago Spain
M Leclercq France
Valeria Margherita Petrolini Italy
Peter Sizeland New Zealand
Didi O. T. Nordberg Sweden
Hyun Shik Son South Korea
Michelle Thunders New Zealand
Ruyi Liang China
A. Parra Spain
S. Baar United Kingdom
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Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202255
2 200954
3 201638
4 201537
5 201032
6 201022
7 201014
8 200912
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 20211

About Samreen Riaz

Samreen Riaz is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Genetics and Neurology, having authored 34 papers that have together received 303 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), Diet and metabolism studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Alcoholism and Thiamine Deficiency (3 papers), Neurological and metabolic disorders (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (49 citations), Nephrology (20 citations), Soil Science (22 citations), Clinical Biochemistry (13 citations) and Neurology (26 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 Zaman, Saba Shamim, Rasheeda Bashir, Muhammad Waseem and Asia Parveen. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Diabetes Technology & Therapeutics, 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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