Nishant Rai

1.5k citations
93 papers · 886 indexed · 2 hit papers · h-index 17
Topics
Essential Oils and Antimicrobial Activity (14 papers)Antifungal resistance and susceptibility (9 papers)Natural Antidiabetic Agents Studies (5 papers)

In The Last Decade

Nishant Rai

79 papers receiving 852 citations

Hit Papers

Fake News Classification using transformer based enhanced...202220262023202420222023255075100

Peers

Nishant Rai
Comparison fields: 5 of 145
  • Plant Science 157
  • Molecular Biology 140
  • Food Science 129
  • Complementary and alternative medicine 87
  • Artificial Intelligence 70
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Citations per field
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Citations per year

Countries citing papers authored by Nishant Rai

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishant Rai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 0
5 2
6 0
7
Anti-inflammatory activity of phytochemicals from medicinal plants and their nanoparticles: A reviewbreakdown →
91
8 15
9 14
10 1
11 9
12 1
13 7
14
In Silico Docking Analysis of Selected Anti-Oxidant Compounds Against VEGF Protein
1
15 23
16
PRODUCTION AND OPTIMIZATION OF SIDEROPHORE PRODUCING PSEUDOMONAS SPECIES ISOLATED FROM TARAI REGION OF UTTARAKHAND
4
17
GC-MS ANALYSIS OF METHANOLIC EXTRACT OF LEAVES OF RHODODENDRON ARBOREUM
3
18
GC-MS ANALYSIS OF METHANOLIC EXTRACT OF LEAVES OF RHODODENDRON CAMPANULATUM
11
19
EXPRESSION OF HUMAN ERYTHROPOIETIN GENE IN HELA CELLS
2
20
Induction of immune response in chicken vaccinated with a plasmid DNA encoding fowl adenovirus 4 hexon gene
1

About Nishant Rai

Nishant Rai is a scholar working on Complementary and alternative medicine, Pharmacology and Food Science, having authored 93 papers that have together received 886 indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (14 papers), Antifungal resistance and susceptibility (9 papers) and Natural Antidiabetic Agents Studies (5 papers). The work is most often cited by research in Drug Discovery (3 citations), Complementary and alternative medicine (87 citations) and Biochemistry (63 citations). Nishant Rai has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include Kavita Gulati, Jigisha Anand, Arunabha Ray, Navin Kumar, Deepika Kumar, Ahad Ali, Kundan Kumar Chaubey, Sushama Talegaonkar, Shweta Pandey and Archana Bachheti. Their work appears in journals such as SHILAP Revista de lepidopterología, Pharmaceutical Research and Proteins Structure Function and Bioinformatics.

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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