Ankita Bansal
- Molecular Biology top 10%
- Aging top 0.5%
- Biomedical Engineering top 10%
- Cancer Research top 10%
- Physiology top 10%
- Co-authors
- M. Celeste SimonHeidi A. TissenbaumKelvin YenLihua Julie ZhuSri Devi NarasimhanJi‐Xin ChengThuc T. LeEun‐Soo Kwon
- Topics
- Genetics, Aging, and Longevity in Model Organisms (4 papers)Antibiotic Resistance in Bacteria (4 papers)Tuberculosis Research and Epidemiology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesIndiaSlovakia
In The Last Decade
Ankita Bansal
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 765
- Aging 412
- Biomedical Engineering 270
- Cancer Research 243
- Physiology 208
Countries citing papers authored by Ankita Bansal
This map shows the geographic impact of Ankita Bansal'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 Ankita Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankita Bansal more than expected).
Fields of papers citing papers by Ankita Bansal
This network shows the impact of papers produced by Ankita Bansal. 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 Ankita Bansal. The network helps show where Ankita Bansal may publish in the future.
Co-authorship network of co-authors of Ankita Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Ankita Bansal. A scholar is included among the top collaborators of Ankita Bansal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankita Bansal. Ankita Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | Glutathione metabolism in cancer progression and treatment resistancebreakdown → | 927 |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 254 | |
| 9 | 14 | |
| 10 | 30 | |
| 11 | 51 | |
| 12 | 61 | |
| 13 | 195 | |
| 14 | 16 |
About Ankita Bansal
Ankita Bansal is a scholar working on Aging, Molecular Medicine and Biochemistry, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Aging (412 citations), Biochemistry (197 citations) and Endocrine and Autonomic Systems (158 citations). Ankita Bansal has collaborated with scholars based in United States, India and Slovakia. Frequent co-authors include M. Celeste Simon, Heidi A. Tissenbaum, Kelvin Yen, Lihua Julie Zhu, Sri Devi Narasimhan, Ji‐Xin Cheng, Thuc T. Le, Eun‐Soo Kwon, Anindya S. Ghosh and Srivatsan Padmanabhan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.