Deepa Dehari

741 citations
23 papers · 555 · h-index 12

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • RNA Interference and Gene Delivery 4
    • Bacterial biofilms and quorum sensing 3
    • Advanced biosensing and bioanalysis techniques 2
    • Bacteriophages and microbial interactions 4

Deepa Dehari

22 papers receiving 548 citations

Peers

Deepa Dehari
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 62
  • Biomaterials 99
  • Molecular Medicine 34
  • Pharmaceutical Science 40
  • Cancer Research 91
Replace Wenxuan Guo with:
Wenxuan Guo China
Jueping Feng China
Ji Hye Seo South Korea
Nadimpalli R. S. Varma United States
Edna Soares Portugal
Chooi Yeng Lee Malaysia
Tian Deng China
Farshad Mirzavi Iran
M. A. Vlasova Russia
Mukesh K. Sriwastva United States
Deepa Dehari relative to Wenxuan Guo China Wenxuan Guo's profile →
Citations per field
00.5×3.1×
Wenxuan Guo · 1×
Citations per year

Countries citing papers authored by Deepa Dehari

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Dehari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Dehari, 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 Deepa Dehari Line = papers co-authored together Deepa Dehari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 202266
3 202256
4 202051
5 202251
6 202232
7 202322
8 202222
9 202321
10 202417
11 202214
12 202414
13 202011
14 202311
15 20229
16 20239
17 20219
18 20238
19 20255
20 20204

About Deepa Dehari

Deepa Dehari is a scholar working on Molecular Biology, Ecology, Pharmaceutical Science, Oncology and Biomaterials, having authored 23 papers that have together received 555 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Bacteriophages and microbial interactions (4 papers), RNA Interference and Gene Delivery (4 papers), Bacterial biofilms and quorum sensing (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (62 citations), Biomaterials (99 citations), Molecular Medicine (34 citations), Pharmaceutical Science (40 citations) and Cancer Research (91 citations). Deepa Dehari has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Ashish Kumar Agrawal, Sanjay Singh, Aiswarya Chaudhuri, Dulla Naveen Kumar, Krishna Kumar Patel, Dinesh Kumar, Sankha Bhattacharya, Md Meraj Anjum, Abhishesh Kumar Mehata and Radha Munagala. Their work appears in journals such as Drug Delivery and Translational Research, AAPS PharmSciTech, Cancers, Pharmaceuticals and Journal of Drug Delivery 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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