Rakesh David

651 citations
15 papers · 450 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • Genomics and Phylogenetic Studies

Papers in

    • Plant Molecular Biology Research 5
    • Plant nutrient uptake and metabolism 2
    • Soybean genetics and cultivation 2
    • RNA modifications and cancer 6
    • Cancer-related gene regulation 2
    • Biomedical Text Mining and Ontologies 1
    • Machine Learning in Bioinformatics 1

Rakesh David

15 papers receiving 448 citations

Peers

Rakesh David
Comparison fields: 5 of 42
  • Cancer Research 118
  • Molecular Biology 352
  • Plant Science 136
  • Genetics 18
  • Endocrinology 7
Replace Silvia Dambacher with:
Silvia Dambacher Germany
Zhengzheng Su China
Jinbao Gu China
Nathan S. Reyna United States
Christian Trahan Canada
Yufang Bao China
Noah Spies United States
Hongbo Nie China
Evdoxia Karadoulama Denmark
Guifen Wu China
Rakesh David relative to Silvia Dambacher Germany Silvia Dambacher's profile →
Citations per field
00.5×2×3×4×4.5×
Silvia Dambacher · 1×
Citations per year

Countries citing papers authored by Rakesh David

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rakesh David Line = papers co-authored together Rakesh David links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2017204
2 2015101
3 201633
4 200628
5 202224
6 201920
7 201913
8 20178
9 20214
10 20224
11 20213
12 20213
13 20192
14 20152
15 20211

About Rakesh David

Rakesh David is a scholar working on Plant Science, Molecular Biology, Information Systems and Management, Genetics and Management Science and Operations Research, having authored 15 papers that have together received 450 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Plant Molecular Biology Research (5 papers), Plant nutrient uptake and metabolism (2 papers), Cancer-related gene regulation (2 papers), Soybean genetics and cultivation (2 papers), Research Data Management Practices (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (118 citations), Molecular Biology (352 citations), Plant Science (136 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 Robert Searle, Alice Burgess, Jun Li, Tennille Sibbritt, Brian John Parker, Thomas Preiß, Andrew Charles Perkins, Stefanie Wege, Michael R. Tallack and Janelle R. Keys. Their work appears in journals such as Scientific Reports, Physiologia Plantarum, Annals of Botany, Data Science Journal 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.

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