Surbhi Vaid

19 total papers · 529 total citations
15 papers, 316 citations indexed

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 15 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Biomedical Engineering and 2 papers in Nutrition and Dietetics. Recurrent topics in Surbhi Vaid's work include Biofuel production and bioconversion (13 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Catalysis for Biomass Conversion (8 papers). Surbhi Vaid is often cited by papers focused on Biofuel production and bioconversion (13 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Catalysis for Biomass Conversion (8 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, Ritu Mahajan, Nisha Kapoor, Mahak Gupta, Tarun Mishra, Vishal Sharma, Pritam Singh and Shikha Sharma and has published in prestigious journals such as Bioresource Technology, Energy Conversion and Management and Industrial Crops and Products.

In The Last Decade

Surbhi Vaid

13 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Surbhi Vaid	262	169	65	39	30	15	316
Arushdeep Sidana	201 0.8×	117 0.7×	35 0.5×	48 1.2×	27 0.9×	17	289
Rafael G. Ferreira	180 0.7×	167 1.0×	80 1.2×	49 1.3×	19 0.6×	9	343
Martha Suzana Rodrigues dos Santos Rocha	319 1.2×	155 0.9×	42 0.6×	31 0.8×	40 1.3×	14	364
Anu Anu	240 0.9×	109 0.6×	55 0.8×	46 1.2×	18 0.6×	16	360
Swarnima Agnihotri	150 0.6×	105 0.6×	47 0.7×	33 0.8×	23 0.8×	11	310
Javier Ulises Hernández‐Beltrán	252 1.0×	124 0.7×	37 0.6×	27 0.7×	24 0.8×	9	325
Sonu Saini	180 0.7×	90 0.5×	53 0.8×	58 1.5×	16 0.5×	12	246
Suzana Fátima Bazoti	254 1.0×	130 0.8×	22 0.3×	30 0.8×	30 1.0×	19	330
Valeria Larnaudie	255 1.0×	105 0.6×	27 0.4×	22 0.6×	34 1.1×	10	316
Pradeep Kumar Gandam	179 0.7×	91 0.5×	28 0.4×	27 0.7×	23 0.8×	14	280

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).

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.

Co-authorship network of co-authors of Surbhi Vaid

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