Abha Bais
Impact in
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- MicroRNA in disease regulation
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- Single-cell and spatial transcriptomics
- Congenital heart defects research
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Genomics and Chromatin Dynamics
Papers in
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- Renal and related cancers 5
- Congenital heart defects research 5
- Single-cell and spatial transcriptomics 3
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
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- Congenital Heart Disease Studies 5
- Co-authors
- Dennis Kostka (6 shared papers)Wei Feng (4 shared papers)Shan Jiang (3 shared papers)Guang Li (3 shared papers)Martin Vingron (3 shared papers)Panayiotis V. Benos (3 shared papers)Naftali Kaminski (3 shared papers)Kusum Pandit (2 shared papers)
- Journals
- Nature Communications (2 papers)PLoS ONE (2 papers)Bioinformatics (2 papers)Scientific Reports (2 papers)Journal of Biosciences (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Abha Bais
18 papers receiving 430 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 65
- Molecular Biology 293
- Biophysics 20
- Aging 5
- Neurology 15
Countries citing papers authored by Abha Bais
This map shows the geographic impact of Abha Bais'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 Abha Bais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abha Bais more than expected).
Fields of papers citing papers by Abha Bais
This network shows the impact of papers produced by Abha Bais. 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 Abha Bais. The network helps show where Abha Bais may publish in the future.
Co-authors
The 25 scholars most cited alongside Abha Bais, 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 | 2019 | 127 | |
| 2 | 2022 | 52 | |
| 3 | 2011 | 52 | |
| 4 | 2022 | 43 | |
| 5 | 2009 | 38 | |
| 6 | 2012 | 31 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2011 | 9 | |
| 11 | 2007 | 7 | |
| 12 | 2007 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2018 | 1 | |
| 18 | Interrupted aortic arch with tetralogy of Fallot. A report of an unsuccessful surgically treated case. | 1991 | 1 |
| 19 | 2025 | 0 |
About Abha Bais
Abha Bais is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 19 papers that have together received 434 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Congenital heart defects research (5 papers), Congenital Heart Disease Studies (5 papers), Single-cell and spatial transcriptomics (3 papers), Genomics and Chromatin Dynamics (3 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cancer Research (65 citations), Molecular Biology (293 citations), Biophysics (20 citations), Aging (5 citations) and Neurology (15 citations). Abha Bais has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Dennis Kostka, Wei Feng, Shan Jiang, Guang Li, Martin Vingron, Panayiotis V. Benos, Naftali Kaminski, Kusum Pandit, Ralf Herwig and Cindy A. Chang. Their work appears in journals such as Nature Communications, PLoS ONE, Bioinformatics, Scientific Reports and Journal of Biosciences.
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.