Deepti Dabas

23 total papers · 426 total citations
14 papers, 315 citations indexed

About

Deepti Dabas is a scholar working on Plant Science, Agronomy and Crop Science and Biochemistry. According to data from OpenAlex, Deepti Dabas has authored 14 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Agronomy and Crop Science and 3 papers in Biochemistry. Recurrent topics in Deepti Dabas's work include Plant Physiology and Cultivation Studies (3 papers), Dye analysis and toxicity (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). Deepti Dabas is often cited by papers focused on Plant Physiology and Cultivation Studies (3 papers), Dye analysis and toxicity (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). Deepti Dabas collaborates with scholars based in United States and India. Deepti Dabas's co-authors include Gregory R. Ziegler, Joshua D. Lambert, Ryan J. Elias, Rajendra Prasad Singh, Manoj Kumar Yadav, Manik H. Kalubarme, V. K. Gupta and R. S. Hooda and has published in prestigious journals such as Journal of Food Science, Current Pharmaceutical Design and International Journal of Food Science.

In The Last Decade

Deepti Dabas

13 papers receiving 294 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 Dabas 171 121 118 32 30 14 315
Ethel Jeyaseela Jeyaraj 110 0.6× 119 1.0× 80 0.7× 15 0.5× 19 0.6× 11 290
Nor Elliza Tajidin 174 1.0× 99 0.8× 39 0.3× 23 0.7× 15 0.5× 15 313
P. Gurumoorthi 138 0.8× 126 1.0× 55 0.5× 25 0.8× 46 1.5× 14 341
Salah A. Al Maiman 139 0.8× 148 1.2× 91 0.8× 16 0.5× 58 1.9× 11 300
Mamoun S. M. Abd El-Kareem 149 0.9× 126 1.0× 34 0.3× 32 1.0× 14 0.5× 18 319
Sanda Coşarcă 119 0.7× 120 1.0× 153 1.3× 20 0.6× 19 0.6× 11 354
Kadriye Nur Kasapoğlu 71 0.4× 101 0.8× 80 0.7× 28 0.9× 42 1.4× 15 338
Ebisa Olika Keyata 128 0.7× 139 1.1× 52 0.4× 21 0.7× 77 2.6× 16 292
Keityane Boone Bergamaschi 101 0.6× 144 1.2× 126 1.1× 37 1.2× 37 1.2× 8 335
Živan Mrkonjić 68 0.4× 170 1.4× 134 1.1× 25 0.8× 24 0.8× 13 328

Countries citing papers authored by Deepti Dabas

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Dabas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Dabas

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