Shania Abbas

23 total papers · 837 total citations
19 papers, 625 citations indexed

About

Shania Abbas is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shania Abbas has authored 19 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shania Abbas's work include Peroxisome Proliferator-Activated Receptors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Renin-Angiotensin System Studies (3 papers). Shania Abbas is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Renin-Angiotensin System Studies (3 papers). Shania Abbas collaborates with scholars based in India and United States. Shania Abbas's co-authors include Farzana Mahdi, Syed Tasleem Raza, Saliha Rizvi, Arfa Ahmad, Faisal Ahmed, Zeba Siddiqi, Anu Chandra, S. Faisal Ahmed, Jalees Fatima and Seema Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Molecular and Cellular Biochemistry.

In The Last Decade

Shania Abbas

19 papers receiving 601 citations

Hit Papers

The Role of Vitamin E in ... 2014 2026 2018 2022 2014 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
Shania Abbas 207 134 119 84 61 19 625
J. Parantainen 169 0.8× 187 1.4× 109 0.9× 59 0.7× 69 1.1× 32 790
Kok-Lun Pang 263 1.3× 151 1.1× 133 1.1× 54 0.6× 50 0.8× 30 739
Kamatham A. Naidu 200 1.0× 88 0.7× 187 1.6× 83 1.0× 74 1.2× 22 629
Ji Ye Lim 262 1.3× 128 1.0× 123 1.0× 59 0.7× 83 1.4× 30 592
Yuk Man Li 197 1.0× 129 1.0× 109 0.9× 112 1.3× 68 1.1× 16 676
Caroline Puel 226 1.1× 89 0.7× 176 1.5× 63 0.8× 97 1.6× 17 672
Joshua W. Smith 165 0.8× 144 1.1× 71 0.6× 106 1.3× 52 0.9× 33 612
Maria Sofia Molonia 320 1.5× 175 1.3× 81 0.7× 115 1.4× 76 1.2× 30 775
Inés Domínguez‐López 155 0.7× 130 1.0× 122 1.0× 111 1.3× 64 1.0× 32 607
Yoo Sun Kim 293 1.4× 116 0.9× 159 1.3× 58 0.7× 65 1.1× 28 749

Countries citing papers authored by Shania Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Shania Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shania Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Shania Abbas. A scholar is included among the top collaborators of Shania Abbas 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 Shania Abbas. Shania Abbas 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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