Deepti Dabas

432 total citations
14 papers, 318 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 318 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 Phytochemicals and Antioxidant Activities (3 papers), Dye analysis and toxicity (3 papers) and Plant Physiology and Cultivation Studies (3 papers). Deepti Dabas is often cited by papers focused on Phytochemicals and Antioxidant Activities (3 papers), Dye analysis and toxicity (3 papers) and Plant Physiology and Cultivation Studies (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, R. S. Hooda, V. K. Gupta, Rajendra Prasad Singh, Manoj Kumar Yadav and Manik H. Kalubarme 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 296 citations

Peers

Deepti Dabas
Comparison fields: 5 of 68
  • Plant Science 173
  • Food Science 122
  • Biochemistry 120
  • Pharmacology 31
  • Nutrition and Dietetics 30
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Citations per field, relative to Deepti Dabas
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Citations per year, relative to Deepti Dabas
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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

14 of 14 papers shown
# Work Indexed citations
1 53
2 13
3 1
4 3
5 18
6 3
7 148
8
Use of Time-Series Data of Temperature and Yield to Assess the Impact of Climate Change on Crop Yield Using Mustard in Haryana as an Example
2
9
Use of Spatial Variability Data of Temperature and Yield to Assess the Impact of Climate Change on the Crop Yield Using Mustard in Haryana as an Example
1
10 61
11
Remote sensing based wheat acreage and spectral-trend- agrometeorological Yield Forecasting : Factor Analysis Approach
9
12
Processing of barley and chickpea for making sattu
3
13
Effect of the long term use of manures and urea N on nitrogen mineralization in soils in a rice-wheat cropping system
1
14
Distribution of molybdenum in some saline-sodic soils from Haryana.
2

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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