Gaurav Kumar

1.5k citations
59 papers · 1.1k · h-index 18

Impact in

Papers in

Gaurav Kumar

54 papers receiving 1.0k citations

Peers

Gaurav Kumar
Comparison fields: 5 of 133
  • Complementary and alternative medicine 147
  • Drug Discovery 2
  • Biological Psychiatry 26
  • Neurology 73
  • Pharmaceutical Science 56
Replace Md. Sohanur Rahman with:
Md. Sohanur Rahman Bangladesh
Amna Parveen South Korea
An Zhou China
Syed Shams ul Hassan China
Govindarajan Karthivashan Malaysia
Qinxiu Zhang China
Vikas Srivastava India
Minyan Dang China
Aklima Akter Bangladesh
Pratik Chakraborty India
Gaurav Kumar relative to Md. Sohanur Rahman Bangladesh Md. Sohanur Rahman's profile →
Citations per field
00.5×1.5×2.2×
Md. Sohanur Rahman · 1×
Citations per year

Countries citing papers authored by Gaurav Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2
EXTRACELLULAR BIOSYNTHESIS OF SILVER NANOPARTICLES USING THE FILAMENTOUS FUNGUS PENICILLIUM SP
2010103
3 202466
4 202060
5 201955
6 202452
7 201550
8 201648
9 201840
10 201039
11 202137
12 201729
13 202125
14 201921
15 201919
16 202418
17 201918
18 202018
19 202117
20 200917

About Gaurav Kumar

Gaurav Kumar is a scholar working on Complementary and alternative medicine, Biomedical Engineering, Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medicinal Plants and Neuroprotection (8 papers), Nanoparticles: synthesis and applications (7 papers), Phytochemicals and Medicinal Plants (7 papers), Graphene and Nanomaterials Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Alzheimer's disease research and treatments (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Complementary and alternative medicine (147 citations), Drug Discovery (2 citations), Biological Psychiatry (26 citations), Neurology (73 citations) and Pharmaceutical Science (56 citations). Gaurav Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Ranjana Patnaik, Loganathan Karthik, Hareram Birla, Pankaj Paliwal, Priti Girotra, Surya Pratap Singh, Saumitra Sen Singh, Shailendra Kumar Singh, Sairam Krishnamurthy and Avtar Singh. Their work appears in journals such as Nanomaterials, Xenobiotica, Frontiers in Pharmacology, Pharmaceutics and Marine Pollution Bulletin.

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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