Nishika Yadav

744 citations
6 papers · 532 indexed · 1 hit paper · h-index 5
Topics
Computational Drug Discovery Methods (2 papers)Advancements in Transdermal Drug Delivery (1 paper)Essential Oils and Antimicrobial Activity (1 paper)

In The Last Decade

Nishika Yadav

6 papers receiving 514 citations

Hit Papers

Solid Lipid Nanoparticles: Emerging Colloidal Nano Drug D...20182026202020232018100200300400

Peers

Nishika Yadav
Comparison fields: 5 of 86
  • Pharmaceutical Science 245
  • Molecular Biology 200
  • Biomaterials 136
  • Food Science 88
  • Biomedical Engineering 79
Replace Archana Khosa with:
Archana Khosa India
Satish Reddi India
Srinivas Reddy Jitta India
Neha Mallick India
Jasjeet Kaur Narang India
Pedzisai A. Makoni South Africa
Renuka S. Managuli India
Reza Mahjub Iran
Hanan M. El-Nahas Egypt
Iti Chauhan India
Nishika Yadav relative to Archana Khosa India Archana Khosa's profile →
Citations per field
00.5×1.5×
Archana Khosa · 1×
Citations per year

Countries citing papers authored by Nishika Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Nishika Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishika Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Nishika Yadav. A scholar is included among the top collaborators of Nishika Yadav 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 Nishika Yadav. Nishika Yadav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 41
2 19
3 1
4 8
5 4
6
Solid Lipid Nanoparticles: Emerging Colloidal Nano Drug Delivery Systemsbreakdown →
459

About Nishika Yadav

Nishika Yadav is a scholar working on Pharmaceutical Science, Endocrine and Autonomic Systems and Computational Theory and Mathematics, having authored 6 papers that have together received 532 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Advancements in Transdermal Drug Delivery (1 paper) and Essential Oils and Antimicrobial Activity (1 paper). The work is most often cited by research in Pharmaceutical Science (245 citations), Biomaterials (136 citations) and Molecular Medicine (30 citations). Nishika Yadav has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Vijay Mishra, Jessica M. Rosenholm, Kalvatala Sudhakar, Sourav Thakur, Kuldeep K. Bansal, Murtaza M. Tambuwala, Pallavi Nayak, Alaa A. A. Aljabali, Manvendra Pratap Singh and Namita Giri. Their work appears in journals such as Current Pharmaceutical Design, Expert Opinion on Drug Delivery and Pharmaceutics.

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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