Vikas Gupta

1.2k total citations
10 papers, 434 citations indexed

About

Vikas Gupta is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Vikas Gupta has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Agronomy and Crop Science. Recurrent topics in Vikas Gupta's work include Legume Nitrogen Fixing Symbiosis (6 papers), Plant nutrient uptake and metabolism (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). Vikas Gupta is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (6 papers), Plant nutrient uptake and metabolism (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). Vikas Gupta collaborates with scholars based in Denmark, New Zealand and United States. Vikas Gupta's co-authors include Stig Uggerhøj Andersen, Jens Stougaard, Asger Bachmann, Terry Mun, Ivory Blakley, Mary Ann Lila, Ann E. Loraine, April D. Estrada, Ketan Patel and Allan Brown and has published in prestigious journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Vikas Gupta

10 papers receiving 428 citations

Peers

Vikas Gupta

PS

MB

ACS

BIOCH

GENET

Shinobu Nakayama Japan

Fangyuan Song China

O. B. Dobrovolskaya Russia

Davinder Sharma India

Fugui Zhu China

Véronique Gautier France

Xinshan Zang China

Julieta V. Cabello Argentina

Alicja Macko‐Podgórni Poland

Cong Tan China

Shinobu Nakayama Japan

Vikas Gupta

380 ×1.0

PS

180 ×1.2

MB

26 ×0.4

ACS

9 ×0.4

BIOCH

49 ×2.3

GENET

Citations per year, relative to Vikas Gupta Vikas Gupta (= 1×) peers Shinobu Nakayama

Countries citing papers authored by Vikas Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Gupta

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

All Works

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10 of 10 papers shown

1.

Kawaharada, Yasuyuki, Niels Sandal, Vikas Gupta, et al.. (2021). Natural variation identifies a Pxy gene controlling vascular organisation and formation of nodules and lateral roots in Lotus japonicus. New Phytologist. 230(6). 2459–2473. 7 indexed citations

2.

Griffiths, Andrew G., Roger Moraga, Vikas Gupta, et al.. (2019). Breaking Free: The Genomics of Allopolyploidy-Facilitated Niche Expansion in White Clover. The Plant Cell. 31(7). 1466–1487. 87 indexed citations

3.

Munch, David, Vikas Gupta, Asger Bachmann, et al.. (2017). The Brassicaceae Family Displays Divergent, Shoot-Skewed NLR Resistance Gene Expression. PLANT PHYSIOLOGY. 176(2). 1598–1609. 27 indexed citations

4.

Mun, Terry, Asger Bachmann, Vikas Gupta, Jens Stougaard, & Stig Uggerhøj Andersen. (2016). Lotus Base: An integrated information portal for the model legume Lotus japonicus. Scientific Reports. 6(1). 39447–39447. 109 indexed citations

5.

Gupta, Vikas, April D. Estrada, Ivory Blakley, et al.. (2015). RNA-Seq analysis and annotation of a draft blueberry genome assembly identifies candidate genes involved in fruit ripening, biosynthesis of bioactive compounds, and stage-specific alternative splicing. GigaScience. 4(1). 5–5. 116 indexed citations

6.

Hansen, Lars Hestbjerg, et al.. (2015). The capsule biosynthesis locus of Haemophilus influenzae shows conspicuous similarity to the corresponding locus in Haemophilus sputorum and may have been recruited from this species by horizontal gene transfer. Microbiology. 161(6). 1182–1188. 5 indexed citations

7.

Gupta, Vikas, et al.. (2015). micro RNA 172 (miR172) signals epidermal infection and is expressed in cells primed for bacterial invasion in Lotus japonicus roots and nodules. New Phytologist. 208(1). 241–256. 44 indexed citations

8.

Dam, Svend, Thomas F. Dyrlund, Bjarne Jochimsen, et al.. (2013). Proteome reference maps of the Lotus japonicus nodule and root. PROTEOMICS. 14(2-3). 230–240. 17 indexed citations

9.

Thirup, Søren, Vikas Gupta, & E.M. Quistgaard. (2012). Up, Down, and Around: Identifying Recurrent Interactions Within and Between Super-secondary Structures in β-Propellers. Methods in molecular biology. 932. 35–50. 2 indexed citations

10.

Gupta, Vikas, Katharina Markmann, Christian N. S. Pedersen, Jens Stougaard, & Stig Uggerhøj Andersen. (2012). shortran: a pipeline for small RNA-seq data analysis. Bioinformatics. 28(20). 2698–2700. 20 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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