Nirag Kadakia
Impact in
- Insect Science top 10%
- Insect Pheromone Research and Control
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 5
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- Insect Pheromone Research and Control 5
- Co-authors
- Thierry Emonet (6 shared papers)Mahmut Demir (2 shared papers)Damon A. Clark (2 shared papers)Henry D. I. Abarbanel (5 shared papers)Daniel Rey (3 shared papers)Matthew A. Reidenbach (1 shared paper)Daniel Margoliash (2 shared papers)Ye J (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)eLife (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Nirag Kadakia
13 papers receiving 180 citations
Peers
Comparison fields: 5 of 44
- Insect Science 66
- Cellular and Molecular Neuroscience 90
- Sensory Systems 21
- Developmental Biology 8
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Nirag Kadakia
This map shows the geographic impact of Nirag Kadakia'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 Nirag Kadakia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirag Kadakia more than expected).
Fields of papers citing papers by Nirag Kadakia
This network shows the impact of papers produced by Nirag Kadakia. 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 Nirag Kadakia. The network helps show where Nirag Kadakia may publish in the future.
Co-authors
The 12 scholars most cited alongside Nirag Kadakia, 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 | 2020 | 55 | |
| 2 | 2022 | 33 | |
| 3 | 2015 | 26 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2016 | 3 | |
| 13 | The Dynamics of Nonlinear Inference | 2017 | 1 |
About Nirag Kadakia
Nirag Kadakia is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Statistical and Nonlinear Physics, having authored 13 papers that have together received 181 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Insect Pheromone Research and Control (5 papers), Plant and animal studies (3 papers), Gene Regulatory Network Analysis (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Neural dynamics and brain function (2 papers), Neural Networks and Applications (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Insect Science (66 citations), Cellular and Molecular Neuroscience (90 citations), Sensory Systems (21 citations), Developmental Biology (8 citations) and Statistical and Nonlinear Physics (31 citations). Nirag Kadakia has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Thierry Emonet, Mahmut Demir, Damon A. Clark, Henry D. I. Abarbanel, Daniel Rey, Matthew A. Reidenbach, Daniel Margoliash, Ye J, Ethan Allan Brown and Kiri Choi. Their work appears in journals such as PLoS Computational Biology, eLife, Chaos An Interdisciplinary Journal of Nonlinear Science, Nature and Proceedings of the National Academy of Sciences.
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.