Rakesh David
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Genomics and Phylogenetic Studies
Papers in
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- RNA modifications and cancer 6
- Cancer-related gene regulation 2
- Machine Learning in Bioinformatics 1
- Kruppel-like factors research 1
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- Plant Molecular Biology Research 6
- Soybean genetics and cultivation 2
- Plant nutrient uptake and metabolism 2
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- Iain Searle (8 shared papers)Alice Burgess (4 shared papers)Jun Li (3 shared papers)Thomas Preiß (1 shared paper)Tennille Sibbritt (1 shared paper)Brian J. Parker (1 shared paper)Stefanie Wege (2 shared papers)Matthew Gilliham (3 shared papers)
- Journals
- Scientific Reports (1 paper)British Journal of Haematology (1 paper)Data Science Journal (1 paper)Horticulture Research (1 paper)The Plant Cell (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Rakesh David
15 papers receiving 408 citations
Peers
Comparison fields: 5 of 42
- Cancer Research 118
- Molecular Biology 333
- Plant Science 131
- Genetics 18
- Endocrinology 7
Countries citing papers authored by Rakesh David
This map shows the geographic impact of Rakesh David'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 Rakesh David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh David more than expected).
Fields of papers citing papers by Rakesh David
This network shows the impact of papers produced by Rakesh David. 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 Rakesh David. The network helps show where Rakesh David may publish in the future.
Co-authors
The 25 scholars most cited alongside Rakesh David, 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 | 2017 | 181 | |
| 2 | 2015 | 94 | |
| 3 | 2016 | 30 | |
| 4 | 2006 | 25 | |
| 5 | 2022 | 22 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 7 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 0 |
About Rakesh David
Rakesh David is a scholar working on Molecular Biology, Plant Science, Genetics, Information Systems and Information Systems and Management, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), RNA modifications and cancer (6 papers), Soybean genetics and cultivation (2 papers), Plant nutrient uptake and metabolism (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Cancer-related gene regulation (2 papers), Machine Learning in Bioinformatics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (118 citations), Molecular Biology (333 citations), Plant Science (131 citations), Genetics (18 citations) and Endocrinology (7 citations). Rakesh David has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Iain Searle, Alice Burgess, Jun Li, Thomas Preiß, Tennille Sibbritt, Brian J. Parker, Stefanie Wege, Matthew Gilliham, Janelle R. Keys and Michael R. Tallack. Their work appears in journals such as Scientific Reports, British Journal of Haematology, Data Science Journal, Horticulture Research and The Plant Cell.
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.