Deepti Nigam

55 total papers · 1.3k total citations
30 papers, 806 citations indexed

About

Deepti Nigam is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Deepti Nigam has authored 30 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Deepti Nigam's work include Plant Molecular Biology Research (12 papers), Plant Virus Research Studies (8 papers) and Plant Disease Resistance and Genetics (6 papers). Deepti Nigam is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Virus Research Studies (8 papers) and Plant Disease Resistance and Genetics (6 papers). Deepti Nigam collaborates with scholars based in India, United States and Australia. Deepti Nigam's co-authors include Hernán García-Ruíz, Pedro Filho Noronha Souza, Rakesh Tuli, Prabodh Kumar Trivedi, Prashant Misra, Ashutosh Pandey, Smita Kumar, Devesh Shukla, Rudra Deo Tripathi and Manju Shri and has published in prestigious journals such as Scientific Reports, The Plant Journal and Chemosphere.

In The Last Decade

Deepti Nigam

30 papers receiving 794 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Deepti Nigam 675 261 126 81 58 30 806
Christelle Lemaître‐Guillier 478 0.7× 313 1.2× 62 0.5× 99 1.2× 49 0.8× 23 897
Qiang Zhang 395 0.6× 359 1.4× 30 0.2× 31 0.4× 23 0.4× 26 835
Jiangbo Guo 657 1.0× 228 0.9× 85 0.7× 13 0.2× 142 2.4× 20 828
Peng Zhou 794 1.2× 260 1.0× 32 0.3× 55 0.7× 22 0.4× 42 887
Vignesh Dhandapani 595 0.9× 273 1.0× 23 0.2× 86 1.1× 32 0.6× 33 744
Jun-lian Gao 474 0.7× 395 1.5× 25 0.2× 37 0.5× 50 0.9× 40 834
Flor N. Rivera-Orduña 282 0.4× 218 0.8× 45 0.4× 16 0.2× 44 0.8× 28 896
Zhenzhen Zhao 578 0.9× 180 0.7× 27 0.2× 124 1.5× 36 0.6× 32 766
Annapurna Bhattacharjee 830 1.2× 403 1.5× 27 0.2× 10 0.1× 35 0.6× 25 1000
Hancai Chen 547 0.8× 447 1.7× 25 0.2× 41 0.5× 33 0.6× 24 991

Countries citing papers authored by Deepti Nigam

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Nigam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Nigam

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

All Works

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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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