Saliha Rizvi

48 total papers · 1.1k total citations
26 papers, 833 citations indexed

About

Saliha Rizvi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Saliha Rizvi has authored 26 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Physiology. Recurrent topics in Saliha Rizvi's work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Saliha Rizvi is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Saliha Rizvi collaborates with scholars based in India, Saudi Arabia and Egypt. Saliha Rizvi's co-authors include Farzana Mahdi, Syed Tasleem Raza, Shania Abbas, Arfa Ahmad, Anu Chandra, S. Faisal Ahmed, Qamar Rahman, Faisal Ahmed, Zeba Siddiqi and Asaad Babker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biochemistry and Journal of Biomedical Science.

In The Last Decade

Saliha Rizvi

24 papers receiving 805 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
Saliha Rizvi 253 162 133 125 88 26 833
T. Prasanna Krishna 229 0.9× 130 0.8× 72 0.5× 152 1.2× 78 0.9× 27 816
Audrey Chanet 283 1.1× 275 1.7× 164 1.2× 82 0.7× 66 0.8× 16 887
Hasan Gençoğlu 258 1.0× 67 0.4× 127 1.0× 84 0.7× 108 1.2× 29 911
Gabriela Marcelino 275 1.1× 214 1.3× 131 1.0× 227 1.8× 90 1.0× 17 885
Aline Boveto Santamarina 222 0.9× 196 1.2× 184 1.4× 160 1.3× 56 0.6× 47 851
Lars Retterstøl 200 0.8× 126 0.8× 203 1.5× 83 0.7× 56 0.6× 33 871
Argelia Garrido 216 0.9× 95 0.6× 186 1.4× 216 1.7× 82 0.9× 31 980
Linaloe Manzano-Pech 188 0.7× 157 1.0× 84 0.6× 112 0.9× 62 0.7× 27 726
Sookyoung Jeon 264 1.0× 105 0.6× 183 1.4× 104 0.8× 51 0.6× 29 840
Ivonne María Olivares-Corichi 173 0.7× 100 0.6× 83 0.6× 89 0.7× 117 1.3× 56 774

Countries citing papers authored by Saliha Rizvi

Since Specialization
Citations

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

Fields of papers citing papers by Saliha Rizvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saliha Rizvi

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