Sendu Bala
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
-
- Genetics, Bioinformatics, and Biomedical Research 1
- Pluripotent Stem Cells Research 1
- Fungal and yeast genetics research 1
- Developmental Biology and Gene Regulation 1
- Co-authors
- Gabriel A. Dover (1 shared paper)Philip James Shaw (1 shared paper)Alistair P. McGregor (1 shared paper)Ahmad Salameh (1 shared paper)
- Journals
- Nature (5 papers)Evolution & Development (1 paper)Cell Reports (1 paper)Nature Genetics (1 paper)National University of Singapore (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Sendu Bala
9 papers receiving 3.5k citations
Sendu Bala's Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.6k
- Genetics 636
- Molecular Biology 948
- Aging 17
- Modeling and Simulation 49
Countries citing papers authored by Sendu Bala
This map shows the geographic impact of Sendu Bala'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 Sendu Bala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sendu Bala more than expected).
Fields of papers citing papers by Sendu Bala
This network shows the impact of papers produced by Sendu Bala. 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 Sendu Bala. The network helps show where Sendu Bala may publish in the future.
Co-authors
The 4 scholars most cited alongside Sendu Bala, 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 | Mouse genomic variation and its effect on phenotypes and gene regulation Hit paper breakdown → | 2011 | 1198 |
| 2 | SARS-CoV-2 evolution during treatment of chronic infection Hit paper breakdown → | 2021 | 814 |
| 3 | Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies Hit paper breakdown → | 2021 | 530 |
| 4 | 2017 | 442 | |
| 5 | Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7 Hit paper breakdown → | 2021 | 325 |
| 6 | 2015 | 131 | |
| 7 | 2021 | 72 | |
| 8 | 2001 | 31 | |
| 9 | 2007 | 20 |
About Sendu Bala
Sendu Bala is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Information Systems and Management and Information Systems, having authored 9 papers that have together received 3.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Pluripotent Stem Cells Research (1 paper), Research Data Management Practices (1 paper), Fungal and yeast genetics research (1 paper), Genetic diversity and population structure (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Infectious Diseases (1.6k citations), Genetics (636 citations), Molecular Biology (948 citations), Aging (17 citations) and Modeling and Simulation (49 citations). Sendu Bala has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Gabriel A. Dover, Philip James Shaw, Alistair P. McGregor and Ahmad Salameh. Their work appears in journals such as Nature, Evolution & Development, Cell Reports, Nature Genetics and National University of Singapore.
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.