Vikas Jain

3.7k citations
179 papers · 2.7k · 1 hit paper · h-index 26

Impact in

    • Advanced Drug Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Drug Solubulity and Delivery Systems
    • Nanoparticle-Based Drug Delivery

Papers in

Vikas Jain

167 papers receiving 2.6k citations

Vikas Jain's Hit Papers

Quantum dots: Prospectives, toxicity, advances and applications 2021 · 238 citations
2380+1+3Years since publication50100150200

Peers

Vikas Jain
Comparison fields: 5 of 176
  • Pharmaceutical Science 519
  • Biomaterials 511
  • Molecular Medicine 96
  • Biochemistry 71
  • Molecular Biology 789
Replace Ying Qu with:
Ying Qu China
Ravi Shankar India
Lourdes Pérez Spain
Kim Hung Lam Hong Kong
Arvind K. Singh Chandel India
Xinxin Li China
Xinyi Jiang China
Zonghua Liu China
Dechun Huang China
Vikas Jain relative to Ying Qu China Ying Qu's profile →
Citations per field
00.5×2.7×
Ying Qu · 1×
Citations per year

Countries citing papers authored by Vikas Jain

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum dots: Prospectives, toxicity, advances and applications
Hit paper breakdown →
2021238
2 2020227
3 2012119
4 2011100
5 201091
6 200787
7 202374
8 202360
9 200559
10 201353
11 201151
12 202249
13 202049
14 202248
15 202047
16 201144
17 202041
18 200538
19 202237
20 201134

About Vikas Jain

Vikas Jain is a scholar working on Molecular Biology, Pharmaceutical Science, Biomaterials, Plant Science and Information Systems and Management, having authored 179 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (23 papers), Nanoparticle-Based Drug Delivery (18 papers), Drug Solubulity and Delivery Systems (15 papers), Technology Adoption and User Behaviour (15 papers), Advancements in Transdermal Drug Delivery (11 papers), Information Technology Governance and Strategy (6 papers), Nanoparticles: synthesis and applications (6 papers) and Information Systems Theories and Implementation (6 papers). The work is most often cited by research in Pharmaceutical Science (519 citations), Biomaterials (511 citations), Molecular Medicine (96 citations), Biochemistry (71 citations) and Molecular Biology (789 citations). Vikas Jain has collaborated with scholars based in India, United States and Uzbekistan. Frequent co-authors include Hitesh Kumar, Ranjit Singh, Surajit Dey, Siddharth S. Kesharwani, Shivraj Kanungo, Nilesh Jain, Pallavi Chand, Neha Gupta, Deepika Jain and Rupshee Jain. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Applied Pharmaceutics, Indian Journal of Pharmaceutical Education and Research, Journal of drug targeting 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.

Explore authors with similar magnitude of impact