Vineet Mehta

67 papers receiving 1.3k citations

Peers

Vineet Mehta
Comparison fields: 5 of 142
  • Biological Psychiatry 172
  • Behavioral Neuroscience 94
  • Neurology 139
  • Complementary and alternative medicine 122
  • Developmental Neuroscience 59
Replace Udayabanu Malairaman with:
Udayabanu Malairaman India
Madhavan Nampoothiri India
Jayesh Mudgal India
Mohit Kwatra India
Bun Tsoi China
Lei Pei China
Xinkun Wang United States
Aayush Sehgal India
Jin‐Seok Lee South Korea
Rong Qu China
Vineet Mehta relative to Udayabanu Malairaman India Udayabanu Malairaman's profile →
Citations per field
00.5×
Udayabanu Malairaman · 1×
Citations per year

Countries citing papers authored by Vineet Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Vineet Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20251
3 20250
4 20251
5 20253
6 202410
7 20242
8 202216
9 202177
10 202147
11 202134
12 202113
13 202036
14
Design, synthesis and evaluation of Coumarin-Phenylthiazole conjugates as cholinesterase inhibitors
20191
15 201822
16 2017109
17 201720
18 201629
19
IN VITRO AND IN SILICO EVALUATION OF THE ANTIDIABETIC EFFECT OF HYDROALCOHOLIC LEAF EXTRACT OF CENTELLA ASIATICA
20163
20
TOPICAL GEL INCORPORATED WITH NON-IONIC SURFACTANT BASED SOLID LIPID MICROSPHERES OF KETOPROFEN: PHYSICOCHEMICAL ANALYSIS AND ANTI-INFLAMMATORY EVALUATION
20153

About Vineet Mehta

Vineet Mehta is a scholar working on Biological Psychiatry, Complementary and alternative medicine, Developmental Neuroscience, Pharmacology and Aging, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Alzheimer's disease research and treatments (6 papers), Tryptophan and brain disorders (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Air Traffic Management and Optimization (4 papers), Epigenetics and DNA Methylation (4 papers), Medicinal Plants and Neuroprotection (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Biological Psychiatry (172 citations), Behavioral Neuroscience (94 citations), Neurology (139 citations), Complementary and alternative medicine (122 citations) and Developmental Neuroscience (59 citations). Vineet Mehta has collaborated with scholars based in India, United States and Romania. Frequent co-authors include Arun Parashar, Udayabanu Malairaman, Tapan Behl, Vivek Sharma, Simona Bungău, Thakur Gurjeet Singh, Arun Kumar, Gökhan Zengin, Tarapati Rana and Arun Sharma. Their work appears in journals such as Neurochemical Research, International Journal of Pharmacy and Pharmaceutical Sciences, Journal of Molecular Neuroscience, The Journal of the Acoustical Society of America and Current Neuropharmacology.

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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