Maya Agarwal
Impact in
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- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
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- DNA Repair Mechanisms 1
- Fungal and yeast genetics research 1
- Genomics and Chromatin Dynamics 1
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- Synthesis of Indole Derivatives 1
- Co-authors
- Thomas J. Begley (1 shared paper)Owen Ozier (1 shared paper)Scott McCuine (1 shared paper)Jean‐Bosco Tagne (1 shared paper)Leona D. Samson (1 shared paper)H. Craig Mak (1 shared paper)Trey Ideker (1 shared paper)Christopher T. Workman (1 shared paper)
- Journals
- International Journal of Pharmacy and Pharmaceutical Sciences (1 paper)BMC Cancer (1 paper)Journal of Micromechanics and Microengineering (1 paper)Science (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Maya Agarwal
7 papers receiving 341 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 223
- Cell Biology 29
- Genetics 17
- Oncology 32
- Cancer Research 17
Countries citing papers authored by Maya Agarwal
This map shows the geographic impact of Maya Agarwal'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 Maya Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Agarwal more than expected).
Fields of papers citing papers by Maya Agarwal
This network shows the impact of papers produced by Maya Agarwal. 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 Maya Agarwal. The network helps show where Maya Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Agarwal, 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 | 2006 | 214 | |
| 2 | 2014 | 47 | |
| 3 | 2017 | 38 | |
| 4 | 2015 | 19 | |
| 5 | 1973 | 15 | |
| 6 | 2011 | 15 | |
| 7 | SYNTHESIS, FREE RADICAL SCAVENGING AND DNA CLEAVAGE ACTIVITIES OF SOME NOVEL INDOLE DERIVATIVES | 2015 | 2 |
About Maya Agarwal
Maya Agarwal is a scholar working on Molecular Biology, Organic Chemistry, Computer Vision and Pattern Recognition, Oncology and Toxicology, having authored 7 papers that have together received 350 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Fungal and yeast genetics research (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Polyoxometalates: Synthesis and Applications (1 paper), Educational Games and Gamification (1 paper), Genomics and Chromatin Dynamics (1 paper) and Synthesis of Indole Derivatives (1 paper). The work is most often cited by research in Molecular Biology (223 citations), Cell Biology (29 citations), Genetics (17 citations), Oncology (32 citations) and Cancer Research (17 citations). Maya Agarwal has collaborated with scholars based in United States and India. Frequent co-authors include Thomas J. Begley, Owen Ozier, Scott McCuine, Jean‐Bosco Tagne, Leona D. Samson, H. Craig Mak, Trey Ideker, Christopher T. Workman, Gordon Li and Ryan T. Nitta. Their work appears in journals such as International Journal of Pharmacy and Pharmaceutical Sciences, BMC Cancer, Journal of Micromechanics and Microengineering, Science and Oncogene.
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.