Aishwarya Mohan

19 total papers · 990 total citations
16 papers, 803 citations indexed

About

Aishwarya Mohan is a scholar working on Molecular Biology, Food Science and Aquatic Science. According to data from OpenAlex, Aishwarya Mohan has authored 16 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Food Science and 4 papers in Aquatic Science. Recurrent topics in Aishwarya Mohan's work include Protein Hydrolysis and Bioactive Peptides (10 papers), Proteins in Food Systems (5 papers) and Biochemical effects in animals (4 papers). Aishwarya Mohan is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (10 papers), Proteins in Food Systems (5 papers) and Biochemical effects in animals (4 papers). Aishwarya Mohan collaborates with scholars based in Canada and United States. Aishwarya Mohan's co-authors include Chibuike C. Udenigwe, Subin R. C. K. Rajendran, Laurent Bazinet, Beth Mason, Quan He, David Julian McClements, Chigozie Louis Okolie, Min Gong, M. Chinonye Udechukwu and Wei Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Food Hydrocolloids.

In The Last Decade

Aishwarya Mohan

16 papers receiving 792 citations

Author Peers

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

Author Last Decade Papers Cites
Aishwarya Mohan 541 360 140 136 117 16 803
María Cermeño 529 1.0× 337 0.9× 149 1.1× 195 1.4× 88 0.8× 26 807
Imelda W.Y. Cheung 544 1.0× 446 1.2× 140 1.0× 195 1.4× 119 1.0× 16 934
Xiaolin Ding 481 0.9× 200 0.6× 67 0.5× 214 1.6× 117 1.0× 10 702
Leila Najafian 640 1.2× 260 0.7× 166 1.2× 249 1.8× 150 1.3× 24 881
Qiongying Wu 457 0.8× 199 0.6× 84 0.6× 280 2.1× 64 0.5× 16 841
Pengbo Cui 578 1.1× 190 0.5× 138 1.0× 92 0.7× 169 1.4× 26 767
Habtamu Admassu 350 0.6× 255 0.7× 157 1.1× 95 0.7× 55 0.5× 40 730
Fumio Fukui 531 1.0× 166 0.5× 170 1.2× 140 1.0× 87 0.7× 33 945
Mahta Mirzaei 536 1.0× 210 0.6× 57 0.4× 252 1.9× 109 0.9× 36 818
Supawan Thawornchinsombut 359 0.7× 256 0.7× 126 0.9× 94 0.7× 118 1.0× 34 750

Countries citing papers authored by Aishwarya Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Aishwarya Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aishwarya Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Aishwarya Mohan. A scholar is included among the top collaborators of Aishwarya Mohan 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 Aishwarya Mohan. Aishwarya Mohan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026