Amit Thakar
Impact in
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Enzyme Catalysis and Immobilization
- RNA Research and Splicing
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- Plant Molecular Biology Research
Papers in
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- Receptor Mechanisms and Signaling 4
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Enzyme Catalysis and Immobilization 2
- Chemical Synthesis and Analysis 2
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Jordanka Zlatanova (4 shared papers)Datta Madamwar (2 shared papers)Jeffrey D. Parvin (1 shared paper)Pooja Gupta (2 shared papers)Juan Ausió (1 shared paper)Ron M. Finn (1 shared paper)Susumu Uchiyama (1 shared paper)Kiichi Fukui (1 shared paper)
- Journals
- Developmental Neurobiology (3 papers)Biochemistry (2 papers)Scientific Reports (1 paper)Journal of Neuroscience (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Amit Thakar
19 papers receiving 473 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 393
- Plant Science 77
- Cellular and Molecular Neuroscience 32
- Cancer Research 26
- Aging 3
Countries citing papers authored by Amit Thakar
This map shows the geographic impact of Amit Thakar'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 Amit Thakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Thakar more than expected).
Fields of papers citing papers by Amit Thakar
This network shows the impact of papers produced by Amit Thakar. 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 Amit Thakar. The network helps show where Amit Thakar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Thakar, 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 | 2008 | 208 | |
| 2 | 2009 | 82 | |
| 3 | 2010 | 46 | |
| 4 | 2005 | 38 | |
| 5 | 2004 | 18 | |
| 6 | 2010 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2011 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2012 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Amit Thakar
Amit Thakar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Social Psychology and Oncology, having authored 20 papers that have together received 477 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Neuroendocrine regulation and behavior (3 papers), Synthesis and biological activity (2 papers), Enzyme Catalysis and Immobilization (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Molecular Biology (393 citations), Plant Science (77 citations), Cellular and Molecular Neuroscience (32 citations), Cancer Research (26 citations) and Aging (3 citations). Amit Thakar has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Jordanka Zlatanova, Datta Madamwar, Jeffrey D. Parvin, Pooja Gupta, Juan Ausió, Ron M. Finn, Susumu Uchiyama, Kiichi Fukui, Toyotaka Ishibashi and Miroslav Tomschik. Their work appears in journals such as Developmental Neurobiology, Biochemistry, Scientific Reports, Journal of Neuroscience and Diabetes.
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.