Surbhi Vaid

14 papers and 274 indexed citations i.

About

Surbhi Vaid is a scholar working on Molecular Biology, Biomedical Engineering and Nutrition and Dietetics. According to data from OpenAlex, Surbhi Vaid has authored 14 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Biomedical Engineering and 2 papers in Nutrition and Dietetics. Recurrent topics in Surbhi Vaid’s work include Biofuel production and bioconversion (12 papers), Metabolic Engineering and Synthetic Biology (8 papers) and Catalysis for Biomass Conversion (7 papers). Surbhi Vaid is often cited by papers focused on Biofuel production and bioconversion (12 papers), Metabolic Engineering and Synthetic Biology (8 papers) and Catalysis for Biomass Conversion (7 papers). Surbhi Vaid collaborates with scholars based in India and United Kingdom. Surbhi Vaid's co-authors include Bijender Kumar Bajaj, Parushi Nargotra, Surbhi Sharma, Nisha Kapoor, Ritu Mahajan, Mahak Gupta, Tarun Mishra, Vishal Sharma and Pritam Singh and has published in prestigious journals such as Bioresource Technology, Energy Conversion and Management and Industrial Crops and Products.

In The Last Decade

Co-authorship network of co-authors of Surbhi Vaid i

Fields of papers citing papers by Surbhi Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Surbhi Vaid

Since Specialization
Citations

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

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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2025