Gaurav Ahuja

1.8k total citations
44 papers, 903 citations indexed

About

Gaurav Ahuja is a scholar working on Molecular Biology, Sensory Systems and Cancer Research. According to data from OpenAlex, Gaurav Ahuja has authored 44 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Sensory Systems and 12 papers in Cancer Research. Recurrent topics in Gaurav Ahuja's work include Olfactory and Sensory Function Studies (15 papers), Neurobiology and Insect Physiology Research (10 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Gaurav Ahuja is often cited by papers focused on Olfactory and Sensory Function Studies (15 papers), Neurobiology and Insect Physiology Research (10 papers) and Biochemical Analysis and Sensing Techniques (9 papers). Gaurav Ahuja collaborates with scholars based in India, Germany and Australia. Gaurav Ahuja's co-authors include Sigrun I. Korsching, Luís R. Saraiva, Ashiq Hussain, Debarka Sengupta, Yoshitaka Oka, Stephen D. Liberles, David M. Ferrero, Leo Kurian, Sonja Hänzelmann and Vijay Suresh Akhade and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Gaurav Ahuja

40 papers receiving 889 citations

Peers

Gaurav Ahuja

CMN

Irit Rubin United States

Charles Plessy Japan

Benjamin R. Myers United States

Sebastian M. Waszak United States

Elaine Y.M. Wong United States

Longzhi Tan United States

Shirley Horn‐Saban Israel

Thomas Holton United States

Monika Bähner Germany

Jana Krauß Germany

Irit Rubin United States

Gaurav Ahuja

282 ×0.8

383 ×1.1

247 ×1.1

CMN

350 ×2.0

48 ×0.3

Citations per year, relative to Gaurav Ahuja Gaurav Ahuja (= 1×) peers Irit Rubin

Countries citing papers authored by Gaurav Ahuja

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Ahuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Ahuja

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

All Works

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20 of 20 papers shown

Bhattacharya, N, Anja Rockstroh, Cynthia Fourgeux, et al.. (2025). Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra. eLife. 13.

Ahuja, Gaurav, et al.. (2025). Comparison of Bond Strength of Different Eighth-Generation Adhesives in Orthodontic Bonding. Cureus. 17(6). e86439–e86439.

Sharma, Divya, Neha Jha, Apoorva Gupta, et al.. (2024). Literature mining discerns latent disease–gene relationships. Bioinformatics. 40(4). 2 indexed citations

Ahuja, Gaurav, et al.. (2024). Integrative Functions of the Hypothalamus: Linking Cognition, Emotion and Physiology for Well-being and Adaptability. Annals of Neurosciences. 32(2). 128–142. 5 indexed citations

Bhattacharya, N, Anja Rockstroh, Cynthia Fourgeux, et al.. (2024). Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra. eLife. 13.

Sengupta, Debarka, et al.. (2024). Discovering geroprotectors through the explainable artificial intelligence-based platform AgeXtend. Nature Aging. 5(1). 144–161. 5 indexed citations

Ahuja, Gaurav, et al.. (2023). Advancing chemical carcinogenicity prediction modeling: opportunities and challenges. Trends in Pharmacological Sciences. 44(7). 400–410. 6 indexed citations

Bartsch, Deniz, Gaurav Ahuja, Jan‐Wilm Lackmann, et al.. (2023). mRNA translational specialization by RBPMS presets the competence for cardiac commitment in hESCs. Science Advances. 9(13). eade1792–eade1792. 12 indexed citations

Sharma, Mansi, et al.. (2023). Salivary protein kinase C alpha and novel microRNAs as diagnostic and therapeutic resistance markers for oral squamous cell carcinoma in Indian cohorts. Frontiers in Molecular Biosciences. 9. 1106963–1106963. 3 indexed citations

10.

Rockstroh, Anja, Melanie Lehman, Apoorva Gupta, et al.. (2022). Gene expression based inference of cancer drug sensitivity. Nature Communications. 13(1). 5680–5680. 70 indexed citations

11.

Goel, Anurag, N Bhattacharya, Yi Fang Lee, et al.. (2022). Marker-free characterization of full-length transcriptomes of single live circulating tumor cells. Genome Research. 33(1). 80–95. 5 indexed citations

12.

Singh, Vijay Pal, et al.. (2022). Artificial intelligence uncovers carcinogenic human metabolites. Nature Chemical Biology. 18(11). 1204–1213. 12 indexed citations

13.

Chattopadhyay, Sourav, et al.. (2022). MiR-330-5p and miR-1270 target essential components of RNA polymerase I transcription and exhibit a novel tumor suppressor role in lung adenocarcinoma. Cancer Gene Therapy. 30(2). 288–301. 6 indexed citations

14.

Biswas, Aditya, Chad Sanada, Ujjwal Maulik, et al.. (2021). Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-seq data. Genome Research. 31(4). 689–697. 10 indexed citations

15.

Ahuja, Gaurav, et al.. (2021). Quantification of Age-Related Decline in Transcriptional Homeostasis. Journal of Molecular Biology. 433(19). 167179–167179. 7 indexed citations

16.

Thakral, Deepshi, Himanshu Pant, Pramod Kumar Verma, et al.. (2020). Molecular signature comprising 11 platelet-genes enables accurate blood-based diagnosis of NSCLC. BMC Genomics. 21(1). 744–744. 15 indexed citations

17.

Ahuja, Gaurav, et al.. (2018). Overlapping but distinct topology for zebrafish V2R-like olfactory receptors reminiscent of odorant receptor spatial expression zones. BMC Genomics. 19(1). 383–383. 10 indexed citations

18.

Hussain, Ashiq, Luís R. Saraiva, David M. Ferrero, et al.. (2013). High-affinity olfactory receptor for the death-associated odor cadaverine. Proceedings of the National Academy of Sciences. 110(48). 19579–19584. 139 indexed citations

19.

Ahuja, Gaurav, et al.. (2013). Zebrafish crypt neurons project to a single, identified mediodorsal glomerulus. Scientific Reports. 3(1). 2063–2063. 54 indexed citations

20.

Ahuja, Gaurav. (2008). Decision Support System and Intelligent System. Delhi Business Review. 9(1). 125–125. 27 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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