Gaurav D. Moghe

2.5k total citations
34 papers, 1.5k citations indexed

About

Gaurav D. Moghe is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Gaurav D. Moghe has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Plant Science and 6 papers in Insect Science. Recurrent topics in Gaurav D. Moghe's work include Plant biochemistry and biosynthesis (15 papers), Plant Gene Expression Analysis (8 papers) and Genomics and Phylogenetic Studies (7 papers). Gaurav D. Moghe is often cited by papers focused on Plant biochemistry and biosynthesis (15 papers), Plant Gene Expression Analysis (8 papers) and Genomics and Phylogenetic Studies (7 papers). Gaurav D. Moghe collaborates with scholars based in United States, Canada and Austria. Gaurav D. Moghe's co-authors include Robert L. Last, Shin‐Han Shiu, Lars Kruse, A. Daniel Jones, Ning Jiang, David E. Hufnagel, Haining Lin, C. Robin Buell, Bryan J. Leong and Brieanne Vaillancourt and has published in prestigious journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Gaurav D. Moghe

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav D. Moghe United States 19 1.1k 875 185 147 113 34 1.5k
Susan R. Strickler United States 24 1.1k 1.0× 1.6k 1.8× 248 1.3× 147 1.0× 167 1.5× 51 2.2k
Daguang Cai Germany 27 950 0.9× 1.9k 2.2× 158 0.9× 93 0.6× 112 1.0× 59 2.2k
Lorenzo Carretero‐Paulet Spain 20 1.7k 1.5× 1.0k 1.2× 162 0.9× 104 0.7× 48 0.4× 36 2.1k
Noé Fernández‐Pozo Spain 20 1.2k 1.1× 1.5k 1.7× 215 1.2× 120 0.8× 144 1.3× 44 2.1k
Weimin Fang China 21 670 0.6× 1.0k 1.2× 249 1.3× 154 1.0× 78 0.7× 70 1.3k
Carlos Roberto Carvalho Brazil 18 674 0.6× 884 1.0× 181 1.0× 192 1.3× 41 0.4× 76 1.2k
Marc C. E. Van Montagu Belgium 16 2.1k 2.0× 2.2k 2.6× 168 0.9× 204 1.4× 117 1.0× 16 3.0k
Birgit Arnholdt‐Schmitt Portugal 25 1.4k 1.3× 1.5k 1.7× 100 0.5× 130 0.9× 78 0.7× 85 2.0k
Luiz Orlando de Oliveira Brazil 21 491 0.5× 742 0.8× 188 1.0× 272 1.9× 223 2.0× 67 1.1k
Wellington Ronildo Clarindo Brazil 17 905 0.8× 1.2k 1.4× 162 0.9× 209 1.4× 24 0.2× 87 1.5k

Countries citing papers authored by Gaurav D. Moghe

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav D. Moghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav D. Moghe

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

All Works

20 of 20 papers shown
1.
Yuan, Xinyu, et al.. (2025). Analysis of plant metabolomics data using identification‐free approaches. Applications in Plant Sciences. 13(4). e70001–e70001.
2.
Bennett, Alexandra, Lars Kruse, Maryam Rahmati Ishka, et al.. (2023). Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change. The Plant Journal. 114(3). 463–481. 4 indexed citations
3.
Moghe, Gaurav D., et al.. (2023). Dangerous sugars: Structural diversity and functional significance of acylsugar-like defense compounds in flowering plants. Current Opinion in Plant Biology. 73. 102348–102348. 8 indexed citations
4.
Moghe, Gaurav D., Alisson P. Kovaleski, Markus Keller, et al.. (2023). NYUS.2: an automated machine learning prediction model for the large-scale real-time simulation of grapevine freezing tolerance in North America. Horticulture Research. 11(2). uhad286–uhad286. 3 indexed citations
6.
Leong, Bryan J., et al.. (2022). Identification of BAHD acyltransferases associated with acylinositol biosynthesis in Solanum quitoense (naranjilla). Plant Direct. 6(6). e415–e415. 6 indexed citations
7.
Irfan, Mohammad, et al.. (2021). Evolution-aided engineering of plant specialized metabolism. aBIOTECH. 2(3). 240–263. 9 indexed citations
8.
Feng, Honglin, Lars Kruse, Seung Ho Chung, et al.. (2021). Acylsugars protect Nicotiana benthamiana against insect herbivory and desiccation. Plant Molecular Biology. 109(4-5). 505–522. 29 indexed citations
9.
Bennett, Alexandra, et al.. (2021). Untargeted metabolomics of purple and orange-fleshed sweet potatoes reveals a large structural diversity of anthocyanins and flavonoids. Scientific Reports. 11(1). 16408–16408. 25 indexed citations
10.
Landis, Jacob B., Christopher M. Miller, Amanda K. Broz, et al.. (2021). Migration through a Major Andean Ecogeographic Disruption as a Driver of Genetic and Phenotypic Diversity in a Wild Tomato Species. Molecular Biology and Evolution. 38(8). 3202–3219. 16 indexed citations
11.
Moghe, Gaurav D., et al.. (2021). Growing a glue factory: Open questions in laticifer development. Current Opinion in Plant Biology. 64. 102096–102096. 12 indexed citations
12.
Leong, Bryan J., et al.. (2020). Specialized Metabolism in a Nonmodel Nightshade: Trichome Acylinositol Biosynthesis. PLANT PHYSIOLOGY. 183(3). 915–924. 18 indexed citations
13.
Kruse, Lars, et al.. (2020). Machine learning: A powerful tool for gene function prediction in plants. Applications in Plant Sciences. 8(7). e11376–e11376. 83 indexed citations
14.
Smith, Stacey D., Ruthie Angelovici, Karolina Heyduk, et al.. (2019). The renaissance of comparative biochemistry. American Journal of Botany. 106(1). 3–13. 4 indexed citations
15.
Lloyd, John P., Megan J. Bowman, Christina B. Azodi, et al.. (2019). Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae. Scientific Reports. 9(1). 12122–12122. 2 indexed citations
16.
Xu, Haiyang, Gaurav D. Moghe, Anthony L. Schilmiller, et al.. (2017). Coexpression Analysis Identifies Two Oxidoreductases Involved in the Biosynthesis of the Monoterpene Acid Moiety of Natural Pyrethrin Insecticides in Tanacetum cinerariifolium. PLANT PHYSIOLOGY. 176(1). 524–537. 45 indexed citations
18.
Lehti‐Shiu, Melissa D., Sahra Uygun, Gaurav D. Moghe, et al.. (2015). Molecular Evidence for Functional Divergence and Decay of a Transcription Factor Derived from Whole-Genome Duplication in Arabidopsis thaliana. PLANT PHYSIOLOGY. 168(4). 1717–1734. 28 indexed citations
19.
Lloyd, John P., et al.. (2015). Characteristics of Plant Essential Genes Allow for within- and between-Species Prediction of Lethal Mutant Phenotypes. The Plant Cell. 27(8). 2133–2147. 74 indexed citations
20.
Schilmiller, Anthony L., Gaurav D. Moghe, Pengxiang Fan, et al.. (2015). Functionally Divergent Alleles and Duplicated Loci Encoding an Acyltransferase Contribute to Acylsugar Metabolite Diversity in Solanum Trichomes. The Plant Cell. 27(4). 1002–1017. 88 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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