Chandraprabha Murali

16 total papers · 790 total citations
11 papers, 643 citations indexed

About

Chandraprabha Murali is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Chandraprabha Murali has authored 11 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biochemistry. Recurrent topics in Chandraprabha Murali's work include Saffron Plant Research Studies (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Chandraprabha Murali is often cited by papers focused on Saffron Plant Research Studies (3 papers), Phytochemicals and Antioxidant Activities (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Chandraprabha Murali collaborates with scholars based in United Arab Emirates, United States and Egypt. Chandraprabha Murali's co-authors include Amr Amin, Raafat El‐Awady, Bayan Al-Dabbagh, Ismail A. Elhaty, Priti Mudgil, Sajid Maqsood, Hina Kamal, Hamadeh Tarazi, Ali Abdalla and E. H. Creaser and has published in prestigious journals such as Scientific Reports, Journal of Dairy Science and Molecules.

In The Last Decade

Chandraprabha Murali

11 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Chandraprabha Murali 311 128 95 93 71 11 643
Gook‐Hyun Chung 311 1.0× 97 0.8× 63 0.7× 135 1.5× 56 0.8× 18 671
Tamilselvam Rajavel 420 1.4× 84 0.7× 53 0.6× 121 1.3× 93 1.3× 11 786
Emanuele Salvatore Scarpa 243 0.8× 88 0.7× 95 1.0× 112 1.2× 60 0.8× 23 640
Jen‐Jyh Lin 378 1.2× 70 0.5× 89 0.9× 110 1.2× 64 0.9× 28 782
Jingyuan Wei 278 0.9× 96 0.8× 50 0.5× 128 1.4× 75 1.1× 11 602
Rashida Ginwala 268 0.9× 85 0.7× 45 0.5× 137 1.5× 101 1.4× 18 685
Kuen‐Daw Tsai 306 1.0× 62 0.5× 59 0.6× 112 1.2× 42 0.6× 20 675
Asma Ismail Mahmod 289 0.9× 67 0.5× 79 0.8× 101 1.1× 58 0.8× 24 722
Kalle M. Arunasree 246 0.8× 134 1.0× 58 0.6× 87 0.9× 116 1.6× 13 701
Muhammad Umair Arshad 230 0.7× 81 0.6× 52 0.5× 123 1.3× 84 1.2× 6 602

Countries citing papers authored by Chandraprabha Murali

Since Specialization
Citations

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

Fields of papers citing papers by Chandraprabha Murali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandraprabha Murali

This figure shows the co-authorship network connecting the top 25 collaborators of Chandraprabha Murali. A scholar is included among the top collaborators of Chandraprabha Murali 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 Chandraprabha Murali. Chandraprabha Murali 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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2026