Akhil Kumar
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- Plant biochemistry and biosynthesis
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- Biofuel production and bioconversion
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Enzyme Catalysis and Immobilization 1
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- Blockchain Technology Applications and Security 2
- Cloud Computing and Resource Management 1
- Service-Oriented Architecture and Web Services 1
- Co-authors
- Costas D. Maranas (4 shared papers)Patrick F. Suthers (1 shared paper)Chiam Yu Ng (1 shared paper)Lin Wang (1 shared paper)Martine Miquel (1 shared paper)Grégory Mouille (1 shared paper)Bertrand Hirel (1 shared paper)Margaret Simons (1 shared paper)
- Journals
- Nature Communications (1 paper)Decision Support Systems (1 paper)Journal of Chemical Information and Modeling (1 paper)PLANT PHYSIOLOGY (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Akhil Kumar
8 papers receiving 306 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 263
- Biomedical Engineering 103
- Computational Theory and Mathematics 26
- Pharmacology 21
- Biochemistry 7
Countries citing papers authored by Akhil Kumar
This map shows the geographic impact of Akhil 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 Akhil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Kumar more than expected).
Fields of papers citing papers by Akhil Kumar
This network shows the impact of papers produced by Akhil 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 Akhil Kumar. The network helps show where Akhil Kumar may publish in the future.
Co-authors
The 18 scholars most cited alongside Akhil Kumar, 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 | 2012 | 105 | |
| 2 | 2018 | 83 | |
| 3 | 2014 | 77 | |
| 4 | 2014 | 27 | |
| 5 | 2024 | 10 | |
| 6 | 2018 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2003 | 1 |
About Akhil Kumar
Akhil Kumar is a scholar working on Molecular Biology, Information Systems, Management Information Systems, Computational Theory and Mathematics and Strategy and Management, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Blockchain Technology Applications and Security (2 papers), Fuzzy Logic and Control Systems (1 paper), Cloud Computing and Resource Management (1 paper), Enzyme Catalysis and Immobilization (1 paper), Business Process Modeling and Analysis (1 paper), Plant nutrient uptake and metabolism (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Molecular Biology (263 citations), Biomedical Engineering (103 citations), Computational Theory and Mathematics (26 citations), Pharmacology (21 citations) and Biochemistry (7 citations). Akhil Kumar has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Costas D. Maranas, Patrick F. Suthers, Chiam Yu Ng, Lin Wang, Martine Miquel, Grégory Mouille, Bertrand Hirel, Margaret Simons, Peter J. Lea and Nardjis Amiour. Their work appears in journals such as Nature Communications, Decision Support Systems, Journal of Chemical Information and Modeling, PLANT PHYSIOLOGY and BMC 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.