Alka Chaubey
Impact in
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Clinical Biochemistry top 10%
Papers in
- Genetics 20
- Genomic variations and chromosomal abnormalities 15
- Genomics and Rare Diseases 5
- Co-authors
- Nikhil Sahajpal (25 shared papers)Ravindra Kolhe (20 shared papers)Alex Hastie (11 shared papers)Ashis K. Mondal (16 shared papers)Hayk Barseghyan (3 shared papers)Charles E. Schwartz (4 shared papers)Sudha Ananth (11 shared papers)Emil Alexov (2 shared papers)
- Journals
- Genes (4 papers)Journal of Molecular Diagnostics (4 papers)Human Molecular Genetics (2 papers)Genetics in Medicine (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesKenyaIndia
In The Last Decade
Alka Chaubey
45 papers receiving 767 citations
Peers
Comparison fields: 5 of 92
- Genetics 218
- Clinical Biochemistry 49
- Infectious Diseases 113
- General Dentistry 11
- Molecular Biology 371
Countries citing papers authored by Alka Chaubey
This map shows the geographic impact of Alka Chaubey'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 Alka Chaubey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alka Chaubey more than expected).
Fields of papers citing papers by Alka Chaubey
This network shows the impact of papers produced by Alka Chaubey. 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 Alka Chaubey. The network helps show where Alka Chaubey may publish in the future.
Co-authors
The 25 scholars most cited alongside Alka Chaubey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 131 | |
| 2 | 2021 | 90 | |
| 3 | 2012 | 76 | |
| 4 | 2018 | 70 | |
| 5 | 2021 | 65 | |
| 6 | 2022 | 39 | |
| 7 | 2015 | 38 | |
| 8 | 2020 | 25 | |
| 9 | 2015 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2023 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2021 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2023 | 8 |
About Alka Chaubey
Alka Chaubey is a scholar working on Genetics, Molecular Biology, Cancer Research, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 782 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (15 papers), Cancer Genomics and Diagnostics (9 papers), SARS-CoV-2 detection and testing (7 papers), Prenatal Screening and Diagnostics (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Genomics and Rare Diseases (5 papers), COVID-19 diagnosis using AI (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Genetics (218 citations), Clinical Biochemistry (49 citations), Infectious Diseases (113 citations), General Dentistry (11 citations) and Molecular Biology (371 citations). Alka Chaubey has collaborated with scholars based in United States, Kenya and India. Frequent co-authors include Nikhil Sahajpal, Ravindra Kolhe, Alex Hastie, Ashis K. Mondal, Hayk Barseghyan, Charles E. Schwartz, Sudha Ananth, Emil Alexov, Subheet Kumar Jain and Rajesh Kumar Goel. Their work appears in journals such as Genes, Journal of Molecular Diagnostics, Human Molecular Genetics, Genetics in Medicine and Cancer Research.
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.