Tripti Shukla

1.1k citations
33 papers · 817 · 1 hit paper · h-index 12

Impact in

Papers in

    • Advanced Drug Delivery Systems 6
    • Advancements in Transdermal Drug Delivery 5
    • Drug Solubulity and Delivery Systems 4
    • Analytical Chemistry and Sensors 9

Tripti Shukla

31 papers receiving 795 citations

Tripti Shukla's Hit Papers

Machine Learning Methods in Drug Discovery 2020 · 312 citations
3120+2+4Years since publication100200300

Peers

Tripti Shukla
Comparison fields: 5 of 122
  • Pharmaceutical Science 172
  • Computational Theory and Mathematics 182
  • Bioengineering 55
  • Health Informatics 12
  • Drug Discovery 1
Replace Bala Prabhakar with:
Bala Prabhakar India
Rohitas Deshmukh India
William J. Lambert United States
Howard Y. Ando United States
Roger Adami United States
Jianyuan Deng China
Manish Goswami India
Abdelkader A. Metwally Egypt
Pushpendra Kumar Tripathi India
Zahid Zaheer India
Tripti Shukla relative to Bala Prabhakar India Bala Prabhakar's profile →
Citations per field
00.5×2×3×4.2×
Bala Prabhakar · 1×
Citations per year

Countries citing papers authored by Tripti Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Tripti Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning Methods in Drug Discovery
Hit paper breakdown →
2020312
2 2018165
3 201940
4 201133
5 200931
6 201824
7 201223
8 201121
9 201821
10 201921
11 201120
12 201920
13 202311
14 201110
15 20196
16 20186
17 20116
18 20216
19 20235
20 20245

About Tripti Shukla

Tripti Shukla is a scholar working on Pharmaceutical Science, Bioengineering, Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology, having authored 33 papers that have together received 817 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (9 papers), Gas Sensing Nanomaterials and Sensors (8 papers), Advanced Drug Delivery Systems (6 papers), Advancements in Transdermal Drug Delivery (5 papers), Advanced Chemical Sensor Technologies (5 papers), Drug Solubulity and Delivery Systems (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Pharmaceutical Science (172 citations), Computational Theory and Mathematics (182 citations), Bioengineering (55 citations), Health Informatics (12 citations) and Drug Discovery (1 citation). Tripti Shukla has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include David W. Ussery, Xiuzhen Huang, Shanzhi Wang, Neeraj Upmanyu, B. C. Yadav, Amit Alexander, Mukta Agrawal, Swarnlata Saraf, Shailendra Saraf and Satyendra Singh. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Materials Science Materials in Electronics, Journal of Drug Delivery Science and Technology, Molecules and Indian Journal of Pharmaceutical Education and Research.

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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