Shazia Subhani

30 total papers · 2.2k total citations
18 papers, 1.1k citations indexed

About

Shazia Subhani is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Shazia Subhani has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Shazia Subhani's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Artificial Intelligence in Healthcare (3 papers) and Acute Ischemic Stroke Management (2 papers). Shazia Subhani is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Artificial Intelligence in Healthcare (3 papers) and Acute Ischemic Stroke Management (2 papers). Shazia Subhani collaborates with scholars based in Saudi Arabia and Canada. Shazia Subhani's co-authors include Khalid Al‐Rubeaan, Amira M. Youssef, Heba M. Ibrahim, Bader N. Alamri, Futwan Al‐Mohanna, Marya Z. Zaidi, Kate S. Collison, Mohammed Shoukri, Ahmad H. Al‐Sharqawi and Najlaa A. Ahmad and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Public Health.

In The Last Decade

Shazia Subhani

18 papers receiving 1.0k citations

Hit Papers

Diabetic Foot Complicatio... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shazia Subhani 452 198 186 138 133 18 1.1k
Adam Gordois 494 1.1× 65 0.3× 221 1.2× 148 1.1× 138 1.0× 20 1.2k
Pomeroy Sinnock 770 1.7× 58 0.3× 354 1.9× 229 1.7× 76 0.6× 16 1.1k
Christoph Trautner 441 1.0× 94 0.5× 191 1.0× 150 1.1× 132 1.0× 19 1.1k
Arran Shearer 478 1.1× 35 0.2× 196 1.1× 131 0.9× 83 0.6× 21 1.0k
Karen L. Koenig 156 0.3× 169 0.9× 29 0.2× 57 0.4× 71 0.5× 16 1.5k
Kan Sun 360 0.8× 107 0.5× 186 1.0× 54 0.4× 213 1.6× 27 996
Maria Chiara Rossi 685 1.5× 88 0.4× 27 0.1× 29 0.2× 116 0.9× 25 929
Richard W. Pamenter 241 0.5× 145 0.7× 100 0.5× 16 0.1× 58 0.4× 28 1.3k
Georgia Pambianco 559 1.2× 185 0.9× 32 0.2× 7 0.1× 153 1.2× 13 1.3k
Angelika Mohn 163 0.4× 66 0.3× 52 0.3× 22 0.2× 63 0.5× 32 1.0k

Countries citing papers authored by Shazia Subhani

Since Specialization
Citations

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

Fields of papers citing papers by Shazia Subhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shazia Subhani

This figure shows the co-authorship network connecting the top 25 collaborators of Shazia Subhani. A scholar is included among the top collaborators of Shazia Subhani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shazia Subhani. Shazia Subhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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