Ata Abbas
Impact in
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
-
- Reproductive System and Pregnancy
Papers in
-
- Epigenetics and DNA Methylation 6
- Histone Deacetylase Inhibitors Research 5
- PI3K/AKT/mTOR signaling in cancer 5
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Sanjay Gupta (4 shared papers)S. Agrawal (3 shared papers)S. Naik (2 shared papers)Pingfu Fu (3 shared papers)Sanjeev Shukla (3 shared papers)Mitali Pandey (2 shared papers)Parminder Kaur (1 shared paper)Piyush Tripathi (1 shared paper)
- Journals
- Human Molecular Genetics (3 papers)Molecular Oncology (2 papers)Biochemistry and Cell Biology (2 papers)Molecular Carcinogenesis (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesIndiaIreland
In The Last Decade
Ata Abbas
30 papers receiving 769 citations
Peers
Comparison fields: 5 of 81
- Reproductive Medicine 85
- Immunology 184
- Geriatrics and Gerontology 33
- Applied Microbiology and Biotechnology 17
- Cancer Research 109
Countries citing papers authored by Ata Abbas
This map shows the geographic impact of Ata Abbas'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 Ata Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ata Abbas more than expected).
Fields of papers citing papers by Ata Abbas
This network shows the impact of papers produced by Ata Abbas. 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 Ata Abbas. The network helps show where Ata Abbas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ata Abbas, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 165 | |
| 2 | 2008 | 118 | |
| 3 | 2004 | 87 | |
| 4 | 2004 | 63 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 42 | |
| 7 | 2015 | 36 | |
| 8 | 2022 | 29 | |
| 9 | 2017 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2015 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2013 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 7 |
About Ata Abbas
Ata Abbas is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 30 papers that have together received 787 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Lung Cancer Research Studies (5 papers), Histone Deacetylase Inhibitors Research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), RNA modifications and cancer (4 papers), Neuroendocrine Tumor Research Advances (4 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Reproductive Medicine (85 citations), Immunology (184 citations), Geriatrics and Gerontology (33 citations), Applied Microbiology and Biotechnology (17 citations) and Cancer Research (109 citations). Ata Abbas has collaborated with scholars based in United States, India and Ireland. Frequent co-authors include Sanjay Gupta, S. Agrawal, S. Naik, Pingfu Fu, Sanjeev Shukla, Mitali Pandey, Parminder Kaur, Piyush Tripathi, Priya Tripathi and Afshin Dowlati. Their work appears in journals such as Human Molecular Genetics, Molecular Oncology, Biochemistry and Cell Biology, Molecular Carcinogenesis 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.