Vijay Kumar

1.9k citations
93 papers · 1.0k · h-index 20

Impact in

    • Enzyme Production and Characterization
    • Phytase and its Applications
    • Plant-Microbe Interactions and Immunity

Papers in

    • Enzyme Catalysis and Immobilization 8
    • Protein Hydrolysis and Bioactive Peptides 7
    • Genomics and Phylogenetic Studies 5
    • Phytase and its Applications 7

Vijay Kumar

86 papers receiving 971 citations

Peers

Vijay Kumar
Comparison fields: 5 of 118
  • Biotechnology 242
  • Plant Science 353
  • Microbiology 7
  • Food Science 137
  • Pharmacology 110
Replace Neelu Nawani with:
Neelu Nawani India
Alexander Rapoport Latvia
In‐Koo Rhee South Korea
Mohamed F. Awad Saudi Arabia
Wenliang Xiang China
Chunyan Xu China
G. S. Prasad India
Lydia Ferrara Italy
Vijay Kumar relative to Neelu Nawani India Neelu Nawani's profile →
Citations per field
00.5×3.5×
Neelu Nawani · 1×
Citations per year

Countries citing papers authored by Vijay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202343
2 201242
3 201139
4 201238
5 202334
6
Association of P2X7 receptor +1513 (A-->C) polymorphism with tuberculosis in a Punjabi population.
201034
7 202432
8 202332
9 202331
10 201129
11 201426
12 202225
13 202325
14 201425
15 202423
16 202423
17 201123
18 201923
19 202322
20 202320

About Vijay Kumar

Vijay Kumar is a scholar working on Molecular Biology, Plant Science, Biotechnology, Food Science and Pharmacology, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (16 papers), Microbial Natural Products and Biosynthesis (13 papers), Biofuel production and bioconversion (8 papers), Enzyme Catalysis and Immobilization (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Phytase and its Applications (7 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolism and Applications (5 papers). The work is most often cited by research in Biotechnology (242 citations), Plant Science (353 citations), Microbiology (7 citations), Food Science (137 citations) and Pharmacology (110 citations). Vijay Kumar has collaborated with scholars based in India, Finland and Saudi Arabia. Frequent co-authors include Bindu Naik, Vishal Kapoor, Renu Singh, Sarvesh Rustagi, Arun Kumar Gupta, Per E. J. Saris, Vivek Kumar, Surbhi Goyal, Sadhna Mishra and P. K. Sehajpal. Their work appears in journals such as Journal of Agriculture and Food Research, Food Production Processing and Nutrition, Frontiers in Microbiology, Scientific Reports and Food Bioscience.

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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