Rudraksh Tuwani

576 total citations
8 papers, 296 citations indexed

About

Rudraksh Tuwani is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Sensory Systems. According to data from OpenAlex, Rudraksh Tuwani has authored 8 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 4 papers in Biomedical Engineering and 3 papers in Sensory Systems. Recurrent topics in Rudraksh Tuwani's work include Biochemical Analysis and Sensing Techniques (6 papers), Advanced Chemical Sensor Technologies (4 papers) and Olfactory and Sensory Function Studies (3 papers). Rudraksh Tuwani is often cited by papers focused on Biochemical Analysis and Sensing Techniques (6 papers), Advanced Chemical Sensor Technologies (4 papers) and Olfactory and Sensory Function Studies (3 papers). Rudraksh Tuwani collaborates with scholars based in India and United States. Rudraksh Tuwani's co-authors include Ganesh Bagler, Navjot Singh, Anupam Jain, Arvind Iyer, Ateev Mehrotra, David M. Levine, Andrew L. Beam, Benjamin Kompa, Samuel G. Finlayson and Utkarsh Upadhyay and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Rudraksh Tuwani

7 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rudraksh Tuwani India	7	92	89	86	62	38	8	296
Huizhuo Ji China	9	93 1.0×	78 0.9×	119 1.4×	191 3.1×	43 1.1×	13	414
Daniel Calvo Spain	13	254 2.8×	84 0.9×	61 0.7×	79 1.3×	19 0.5×	24	483
Maz Jamilah Masnan Malaysia	9	182 2.0×	36 0.4×	35 0.4×	34 0.5×	20 0.5×	28	359
Johannes Heidema South Africa	10	67 0.7×	112 1.3×	128 1.5×	7 0.1×	104 2.7×	32	347
András Fekete Hungary	10	176 1.9×	63 0.7×	99 1.2×	29 0.5×	26 0.7×	27	298
Luca Nicolotti Australia	11	177 1.9×	174 2.0×	84 1.0×	133 2.1×	14 0.4×	16	434
Ashley Han United States	8	13 0.1×	93 1.0×	66 0.8×	32 0.5×	25 0.7×	10	292
Amparo Cortés‐Delgado Spain	15	40 0.4×	333 3.7×	48 0.6×	75 1.2×	5 0.1×	38	532
Mónica Narváez-Rivas Spain	14	111 1.2×	99 1.1×	82 1.0×	206 3.3×	8 0.2×	34	588
Miho Imamura Japan	9	58 0.6×	184 2.1×	142 1.7×	178 2.9×	25 0.7×	15	385

Countries citing papers authored by Rudraksh Tuwani

Since Specialization

Citations

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

Fields of papers citing papers by Rudraksh Tuwani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudraksh Tuwani

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

All Works

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8 of 8 papers shown

1.

Chen, Eric, Rudraksh Tuwani, Benjamin Kompa, et al.. (2025). Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy. npj Digital Medicine. 8(1). 277–277.

2.

Tuwani, Rudraksh, et al.. (2024). FlavorDB2: An updated database of flavor molecules. Journal of Food Science. 89(11). 7076–7082. 18 indexed citations

3.

Levine, David M., Rudraksh Tuwani, Benjamin Kompa, et al.. (2024). The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study. The Lancet Digital Health. 6(8). e555–e561. 39 indexed citations

4.

Upadhyay, Utkarsh, et al.. (2020). RecipeDB: a resource for exploring recipes. Database. 2020. 18 indexed citations

5.

Tuwani, Rudraksh, et al.. (2019). BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules. Scientific Reports. 9(1). 7155–7155. 61 indexed citations

6.

Upadhyay, Utkarsh, et al.. (2019). RecipeDB: A Resource for Exploring Recipes. SSRN Electronic Journal. 7 indexed citations

7.

Tuwani, Rudraksh, et al.. (2018). Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices. PLoS ONE. 13(5). e0198030–e0198030. 29 indexed citations

8.

Tuwani, Rudraksh, et al.. (2017). FlavorDB: a database of flavor molecules. Nucleic Acids Research. 46(D1). D1210–D1216. 124 indexed citations

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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