Amit Jain

5.3k citations
89 papers · 4.2k indexed · h-index 36

Amit Jain

85 papers receiving 4.0k citations

Peers

Amit Jain
Comparison fields: 5 of 148
  • Pharmaceutical Science 1.9k
  • Biomaterials 977
  • Dermatology 601
  • Molecular Medicine 160
  • Food Science 397
Replace Gajanand Sharma with:
Gajanand Sharma India
Abhijit A. Date United States
Kaisar Raza India
Marina Gallarate Italy
Ana Cristina Calpena Spain
Maria Vitória Lopes Badra Bentley Brazil
Michele Trotta Italy
Rita Muzzalupo Italy
Rania M. Hathout Egypt
Maha Nasr Egypt
Amit Jain relative to Gajanand Sharma India Gajanand Sharma's profile →
Citations per field
00.5×1.5×
Gajanand Sharma · 1×
Citations per year

Countries citing papers authored by Amit Jain

Since Specialization
Citations

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

Fields of papers citing papers by Amit Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 202232
4 201911
5
Development of spectroscopic method for quantification of starch in milk
20181
6 2015139
7 201575
8
FORMULATION AND EVALUATION OF TOPICAL DICLOFENAC SODIUM GEL USING DIFFERENT GELLING AGENT
201217
9
Design and Evaluation of Sustained Release Matrix Tablets of Ibuprofen
20112
10 201193
11 2010196
12 201028
13 20095
14
Response of Rhizobium inoculation with sulphur and micronutrients on yield and yield attributes of blackgram [Vigna mungo (L.) Hepper]
20092
15
ANTINUTRITIONAL FACTORS AND THEIR DETOXIFICATION IN PULSES- A REVIEW
200943
16
RESPONSE OF MUNG BEAN (VIGNA RADIATA) TO PHOSPHORUS AND MICRONUTRIENTS ON N AND P UPTAKE AND SEED QUALITY
20076
17 200436
18 20030
19 200330
20 2001124

About Amit Jain

Amit Jain is a scholar working on Pharmaceutical Science, Dermatology and Biomaterials, having authored 89 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (25 papers), Advanced Drug Delivery Systems (17 papers), Drug Solubulity and Delivery Systems (14 papers), Nanoparticle-Based Drug Delivery (14 papers), Analytical Methods in Pharmaceuticals (7 papers), Dermatology and Skin Diseases (7 papers), Essential Oils and Antimicrobial Activity (6 papers) and Contact Dermatitis and Allergies (6 papers). The work is most often cited by research in Pharmaceutical Science (1.9k citations), Biomaterials (977 citations) and Dermatology (601 citations). Amit Jain has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Sanyog Jain, Samir Mitragotri, Pankaj Karande, Kaushik Thanki, Chandraiah Godugu, Nitin K. Swarnakar, Manasmita Das, Raman P. Singh, Ramesh Panchagnula and Vincent F. Kispersky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Biomaterials.

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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