Sujit Dike
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- Molecular Biology Techniques and Applications 1
- Gene expression and cancer classification 1
- Plant tissue culture and regeneration 1
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- Chromosomal and Genetic Variations 3
- Co-authors
- Philipp Kapranov (4 shared papers)Jill Cheng (4 shared papers)T Gingeras (4 shared papers)Jeffrey C. Long (3 shared papers)Gregg Helt (3 shared papers)Jörg Drenkow (3 shared papers)Antonio Piccolboni (3 shared papers)Ian Bell (3 shared papers)
- Journals
- Genome Research (2 papers)Science (2 papers)Nature Genetics (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Sujit Dike
6 papers receiving 1.4k citations
Sujit Dike's Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 588
- Molecular Biology 1.3k
- Aging 13
- Plant Science 251
- Endocrinology 33
Countries citing papers authored by Sujit Dike
This map shows the geographic impact of Sujit Dike'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 Sujit Dike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Dike more than expected).
Fields of papers citing papers by Sujit Dike
This network shows the impact of papers produced by Sujit Dike. 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 Sujit Dike. The network helps show where Sujit Dike may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujit Dike, 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 | Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution Hit paper breakdown → | 2005 | 881 |
| 2 | 2005 | 231 | |
| 3 | 2003 | 153 | |
| 4 | 2006 | 136 | |
| 5 | 2006 | 15 | |
| 6 | 2004 | 11 |
About Sujit Dike
Sujit Dike is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Molecular Biology Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper) and Plant tissue culture and regeneration (1 paper). The work is most often cited by research in Cancer Research (588 citations), Molecular Biology (1.3k citations), Aging (13 citations), Plant Science (251 citations) and Endocrinology (33 citations). Sujit Dike has collaborated with scholars based in United States. Frequent co-authors include Philipp Kapranov, Jill Cheng, T Gingeras, Jeffrey C. Long, Gregg Helt, Jörg Drenkow, Antonio Piccolboni, Ian Bell, Srinka Ghosh and Victor Sementchenko. Their work appears in journals such as Genome Research, Science, Nature Genetics and Cold Spring Harbor Symposia on Quantitative Biology.
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.