Amit Dhingra

7.0k total citations
93 papers, 3.3k citations indexed

About

Amit Dhingra is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Amit Dhingra has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 53 papers in Plant Science and 11 papers in Cell Biology. Recurrent topics in Amit Dhingra's work include Photosynthetic Processes and Mechanisms (19 papers), Genomics and Phylogenetic Studies (11 papers) and Horticultural and Viticultural Research (11 papers). Amit Dhingra is often cited by papers focused on Photosynthetic Processes and Mechanisms (19 papers), Genomics and Phylogenetic Studies (11 papers) and Horticultural and Viticultural Research (11 papers). Amit Dhingra collaborates with scholars based in United States, Spain and India. Amit Dhingra's co-authors include Henry Daniell, Shashi Kumar, Kevin M. Folta, Tyson Koepke, Pamela S. Soltis, Michael J. Moore, Seanna Hewitt, Kaori Kohzuma, David Kramer and Archie R. Portis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amit Dhingra

88 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amit Dhingra United States	31	2.0k	1.9k	504	408	260	93	3.3k
Robin A. Ohm Netherlands	31	1.8k 0.9×	2.3k 1.2×	369 0.7×	302 0.7×	205 0.8×	60	3.9k
Carsten Külheim Australia	27	1.5k 0.8×	1.4k 0.7×	622 1.2×	65 0.2×	257 1.0×	57	2.8k
Muthappa Senthil‐Kumar India	38	2.1k 1.0×	4.9k 2.6×	193 0.4×	247 0.6×	159 0.6×	104	5.7k
Alan Kuo United States	22	1.8k 0.9×	1.7k 0.9×	272 0.5×	205 0.5×	292 1.1×	46	3.5k
Robert Turgeon United States	53	3.0k 1.5×	6.7k 3.6×	386 0.8×	253 0.6×	186 0.7×	112	7.7k
Dawn S. Luthe United States	41	2.6k 1.3×	3.4k 1.8×	525 1.0×	173 0.4×	290 1.1×	93	5.2k
Tina Romeis Germany	42	3.4k 1.7×	6.8k 3.6×	251 0.5×	138 0.3×	248 1.0×	64	7.8k
Kevin L. Childs United States	37	3.1k 1.5×	4.0k 2.1×	418 0.8×	105 0.3×	1.1k 4.3×	85	5.8k
Jin‐Gui Chen United States	54	5.8k 2.8×	7.2k 3.8×	284 0.6×	250 0.6×	502 1.9×	149	8.8k
Prem L. Bhalla Australia	37	2.7k 1.3×	3.2k 1.7×	390 0.8×	269 0.7×	250 1.0×	147	4.4k

Countries citing papers authored by Amit Dhingra

Since Specialization

Citations

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

Fields of papers citing papers by Amit Dhingra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Dhingra

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

Dhingra, Amit. (2024). The Impact of Digital Transformation on Luxury Brand Marketing and Consumer Experience. International Journal of Social Science and Economic Research. 9(10). 4108–4113.

Duval, Henri, Sebastián E. Ramos‐Onsins, Konstantinos G. Alexiou, et al.. (2023). Development and Evaluation of an AxiomTM 60K SNP Array for Almond (Prunus dulcis). Plants. 12(2). 242–242. 11 indexed citations

Hewitt, Seanna, et al.. (2023). Metatranscriptomic analysis of tomato rhizospheres reveals insight into plant-microbiome molecular response to biochar-amended organic soil. 3. 7 indexed citations

Mattinson, D. Scott, et al.. (2023). Reproducible Method for 1-Methylcylopropene (1−MCP) Application and Quantitation for Post-Harvest Research. Horticulturae. 10(1). 5–5.

Usadel, Björn, et al.. (2023). Understanding protein import in diverse non-green plastids. Frontiers in Genetics. 14. 969931–969931. 2 indexed citations

Ghogare‬, Rishikesh, et al.. (2021). Genome editing in fruit, ornamental, and industrial crops. Transgenic Research. 30(4). 499–528. 12 indexed citations

Capell, Teresa, et al.. (2021). Fruit crops in the era of genome editing: closing the regulatory gap. Plant Cell Reports. 40(6). 915–930. 21 indexed citations

Hewitt, Seanna, et al.. (2020). Genome-Scale Characterization of Predicted Plastid-Targeted Proteomes in Higher Plants. Scientific Reports. 10(1). 8281–8281. 11 indexed citations

Montanari, Sara, Luca Bianco, Brian Allen, et al.. (2019). Development of a highly efficient Axiom™ 70 K SNP array for Pyrus and evaluation for high-density mapping and germplasm characterization. BMC Genomics. 20(1). 331–331. 36 indexed citations

10.

Garczynski, Stephen F., et al.. (2019). Neuropeptides and peptide hormones identified in codling moth, Cydia pomonella (Lepidoptera: Tortricidae). Archives of Insect Biochemistry and Physiology. 101(4). e21587–e21587. 6 indexed citations

11.

Hauvermale, Amber L., et al.. (2017). Population structure and genetic diversity of Bromus tectorum within the small grain production region of the Pacific Northwest. Ecology and Evolution. 7(20). 8316–8328. 7 indexed citations

12.

Schaeffer, Scott, et al.. (2017). Comparative ultrastructure of fruit plastids in three genetically diverse genotypes of apple (Malus × domestica Borkh.) during development. Plant Cell Reports. 36(10). 1627–1640. 14 indexed citations

13.

Koepke, Tyson, Scott Schaeffer, F. Dicenta, et al.. (2013). Comparative genomics analysis in Prunoideae to identify biologically relevant polymorphisms. Plant Biotechnology Journal. 11(7). 883–893. 14 indexed citations

14.

Koepke, Tyson, Scott Schaeffer, Vandhana Krishnan, et al.. (2012). Rapid gene-based SNP and haplotype marker development in non-model eukaryotes using 3'UTR sequencing. BMC Genomics. 13(1). 18–18. 23 indexed citations

15.

Moore, Michael J., Amit Dhingra, Pamela S. Soltis, et al.. (2006). Rapid and accurate pyrosequencing of angiosperm plastid genomes.. BMC Plant Biology. 6(1). 17–17. 197 indexed citations

16.

Dhingra, Amit & Kevin M. Folta. (2005). ASAP: Amplification, sequencing & annotation of plastomes. BMC Genomics. 6(1). 176–176. 60 indexed citations

17.

Kumar, Shashi, Amit Dhingra, & Henry Daniell. (2004). Plastid-Expressed Betaine Aldehyde Dehydrogenase Gene in Carrot Cultured Cells, Roots, and Leaves Confers Enhanced Salt Tolerance. PLANT PHYSIOLOGY. 136(1). 2843–2854. 257 indexed citations

18.

Kumar, Shashi, Amit Dhingra, & Henry Daniell. (2004). Stable transformation of the cotton plastid genome and maternal inheritance of transgenes. Plant Molecular Biology. 56(2). 203–216. 155 indexed citations

19.

Daniell, Henry & Amit Dhingra. (2002). Multigene engineering: dawn of an exciting new era in biotechnology. Current Opinion in Biotechnology. 13(2). 136–141. 81 indexed citations

20.

Daniell, Henry, Amit Dhingra, & Alicia Fernández‐San Millán. (2001). Chloroplast transgenic approach for the production of antibodies, biopharmaceuticals and edible vaccines. Science Access. 3(1). 1 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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