Gajendra S. Naika
Impact in
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- Enzyme Production and Characterization
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- Lipid metabolism and biosynthesis
Papers in
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- Protein Kinase Regulation and GTPase Signaling 2
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- Microbial Metabolites in Food Biotechnology 4
- Co-authors
- Michael H. Gelb (7 shared papers)Purnima Kaul Tiku (3 shared papers)Gérard Lambeau (3 shared papers)Matthieu Rousseau (3 shared papers)V. Prakash (2 shared papers)Nathalie Cloutier (2 shared papers)Tania Lévesque (2 shared papers)Éric Boilard (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)iScience (1 paper)Prostaglandins & Other Lipid Mediators (1 paper)Proceedings of the National Academy of Sciences (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Gajendra S. Naika
13 papers receiving 390 citations
Peers
Comparison fields: 5 of 72
- Biotechnology 44
- Biochemistry 33
- Hematology 47
- Immunology 81
- Molecular Biology 245
Countries citing papers authored by Gajendra S. Naika
This map shows the geographic impact of Gajendra S. Naika'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 Gajendra S. Naika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gajendra S. Naika more than expected).
Fields of papers citing papers by Gajendra S. Naika
This network shows the impact of papers produced by Gajendra S. Naika. 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 Gajendra S. Naika. The network helps show where Gajendra S. Naika may publish in the future.
Co-authors
The 25 scholars most cited alongside Gajendra S. Naika, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 194 | |
| 2 | 2007 | 36 | |
| 3 | 2017 | 31 | |
| 4 | 2010 | 30 | |
| 5 | 2016 | 29 | |
| 6 | 2019 | 22 | |
| 7 | 2011 | 20 | |
| 8 | 2022 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2010 | 7 | |
| 11 | 2009 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2015 | 3 |
About Gajendra S. Naika
Gajendra S. Naika is a scholar working on Molecular Biology, Nutrition and Dietetics, Biotechnology, Immunology and Biomedical Engineering, having authored 13 papers that have together received 401 indexed citations. Recurring topics across this work include Microbial Metabolites in Food Biotechnology (4 papers), Enzyme Production and Characterization (4 papers), Biofuel production and bioconversion (3 papers), HIV Research and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Asthma and respiratory diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Biotechnology (44 citations), Biochemistry (33 citations), Hematology (47 citations), Immunology (81 citations) and Molecular Biology (245 citations). Gajendra S. Naika has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Michael H. Gelb, Purnima Kaul Tiku, Gérard Lambeau, Matthieu Rousseau, V. Prakash, Nathalie Cloutier, Tania Lévesque, Éric Boilard, Luc H. Boudreau and Anne‐Claire Duchez. Their work appears in journals such as Journal of Agricultural and Food Chemistry, iScience, Prostaglandins & Other Lipid Mediators, Proceedings of the National Academy of Sciences and Infection and Immunity.
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.