Deepika Deepika

945 citations
73 papers · 617 indexed · h-index 13

Impact in

Papers in

Deepika Deepika

60 papers receiving 600 citations

Peers

Deepika Deepika
Comparison fields: 5 of 124
  • Pharmaceutical Science 105
  • Health, Toxicology and Mutagenesis 106
  • Chemical Health and Safety 4
  • Environmental Chemistry 50
  • Biomaterials 42
Replace Samuel Legeay with:
Samuel Legeay France
Kyeong‐Ryoon Lee South Korea
Jasim Khan United States
Camilla Pease United Kingdom
Anshoo Malhotra India
L.K. Earl United Kingdom
Catherine F. Jacobson United States
Joan Eilstein France
Seung‐Hyun Jeong South Korea
Anwar Abdelnaser Egypt
Deepika Deepika relative to Samuel Legeay France Samuel Legeay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deepika Deepika

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Deepika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepika Deepika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepika Deepika Line = papers co-authored together Deepika Deepika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201889
2 202260
3 202350
4 201943
5 201529
6 202126
7 201825
8 202022
9 202122
10 202121
11 202220
12 202216
13 202013
14 202211
15 202210
16 201510
17 202110
18 20229
19 20239
20 20238

About Deepika Deepika

Deepika Deepika is a scholar working on Plant Science, Molecular Biology, Health, Toxicology and Mutagenesis, Pharmaceutical Science and Organic Chemistry, having authored 73 papers that have together received 617 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (8 papers), Drug Solubulity and Delivery Systems (7 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Advanced Drug Delivery Systems (5 papers), Plant Stress Responses and Tolerance (4 papers), Computational Drug Discovery Methods (4 papers), Analytical Methods in Pharmaceuticals (3 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Pharmaceutical Science (105 citations), Health, Toxicology and Mutagenesis (106 citations), Chemical Health and Safety (4 citations), Environmental Chemistry (50 citations) and Biomaterials (42 citations). Deepika Deepika has collaborated with scholars based in India, Spain and Germany. Frequent co-authors include Vikas Kumar, Marta Schuhmacher, Hitesh Kumar Dewangan, Sanjay Kumar, Amarjeet Singh, Raju Prasad Sharma, Kumar Anupam, Ashish Kumar Agrawal, Amarjeet Singh and Md Meraj Anjum. Their work appears in journals such as International Journal of Environmental Research and Public Health, Environmental Research, Journal of Plant Growth Regulation, Journal of Pharmaceutical Sciences and Indian Journal of Science and Technology.

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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