Shuba Gopal
Impact in
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Tryptophan and brain disorders 2
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- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Terry Gaasterland (3 shared papers)Laila Alves Nahum (1 shared paper)Margrethe Hauge Serres (1 shared paper)Monica Riley (1 shared paper)Ping Liang (1 shared paper)Kevin H. Bullock (1 shared paper)Christine M. Albert (1 shared paper)Dong Wang (1 shared paper)
- Journals
- Genome biology (3 papers)Nature Biotechnology (1 paper)BMC Genomics (1 paper)BMC Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Shuba Gopal
16 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 123
- Biological Psychiatry 72
- Cancer Research 337
- Molecular Biology 1.1k
- Genetics 329
- Oncology 241
Countries citing papers authored by Shuba Gopal
This map shows the geographic impact of Shuba Gopal'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 Shuba Gopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuba Gopal more than expected).
Fields of papers citing papers by Shuba Gopal
This network shows the impact of papers produced by Shuba Gopal. 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 Shuba Gopal. The network helps show where Shuba Gopal may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuba Gopal, 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 | 2013 | 395 | |
| 2 | 2019 | 385 | |
| 3 | 2011 | 342 | |
| 4 | 2019 | 188 | |
| 5 | 2018 | 187 | |
| 6 | 2001 | 109 | |
| 7 | 2014 | 94 | |
| 8 | 2010 | 56 | |
| 9 | 2001 | 45 | |
| 10 | 2011 | 27 | |
| 11 | 2005 | 24 | |
| 12 | 2006 | 15 | |
| 13 | BioInformatics: A Computing Perspective | 2008 | 8 |
| 14 | 2023 | 1 | |
| 15 | 2000 | 1 | |
| 16 | 2008 | 1 |
About Shuba Gopal
Shuba Gopal is a scholar working on Biological Psychiatry, Molecular Biology, Biochemistry, Genetics and Organizational Behavior and Human Resource Management, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Tryptophan and brain disorders (2 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biological Psychiatry (72 citations), Cancer Research (337 citations), Molecular Biology (1.1k citations), Genetics (329 citations) and Oncology (241 citations). Shuba Gopal has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Terry Gaasterland, Laila Alves Nahum, Margrethe Hauge Serres, Monica Riley, Ping Liang, Kevin H. Bullock, Christine M. Albert, Dong Wang, Nancy R. Cook and Clary B. Clish. Their work appears in journals such as Genome biology, Nature Biotechnology, BMC Genomics, BMC Bioinformatics and Nature.
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.