Tripti Shukla

1.1k citations
27 papers · 676 · 1 hit paper · h-index 10

Impact in

Papers in

    • Analytical Chemistry and Sensors 9
    • Advanced Drug Delivery Systems 5
    • Advancements in Transdermal Drug Delivery 4
    • Drug Solubulity and Delivery Systems 3

Tripti Shukla

26 papers receiving 661 citations

Tripti Shukla's Hit Papers

Machine Learning Methods in Drug Discovery 2020 · 287 citations
2870+2+4Years since publication50100150200250

Peers

Tripti Shukla
Comparison fields: 5 of 115
  • Pharmaceutical Science 141
  • Computational Theory and Mathematics 161
  • Bioengineering 55
  • Health Informatics 8
  • Drug Discovery 1
Replace Neela M. Bhatia with:
Neela M. Bhatia India
Howard Y. Ando United States
Roger Adami United States
Seyed Mohsen Foroutan Iran
Abdelkader A. Metwally Egypt
Zahid Zaheer India
Prolay Sharma India
Guilherme Fernandes Brazil
Sibel Ilbasmiş-Tamer Türkiye
Yufan Fan China
Tripti Shukla relative to Neela M. Bhatia India Neela M. Bhatia's profile →
Citations per field
00.5×4.2×
Neela M. Bhatia · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning Methods in Drug Discovery
Hit paper breakdown →
2020287
2 2018153
3 201133
4 200931
5 201223
6 201121
7 201120
8 201920
9 201818
10 201110
11 20237
12 20196
13 20186
14 20116
15 20235
16 20255
17 20215
18 20194
19 20194
20 20243

About Tripti Shukla

Tripti Shukla is a scholar working on Bioengineering, Pharmaceutical Science, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 676 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 (5 papers), Advanced Chemical Sensor Technologies (5 papers), Advancements in Transdermal Drug Delivery (4 papers), Drug Solubulity and Delivery Systems (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmaceutical Science (141 citations), Computational Theory and Mathematics (161 citations), Bioengineering (55 citations), Health Informatics (8 citations) and Drug Discovery (1 citation). Tripti Shukla has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Xiuzhen Huang, Shanzhi Wang, David W. Ussery, Neeraj Upmanyu, B. C. Yadav, Mukta Agrawal, Shailendra Saraf, Swarnlata Saraf, Amit Alexander and Satyendra Singh. Their work appears in journals such as Indian Journal of Pharmaceutical Education and Research, Journal of Drug Delivery Science and Technology, Journal of Materials Science Materials in Electronics, Molecules and Biomedicine & Pharmacotherapy.

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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