Sameera Kongara
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
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- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
- Glycosylation and Glycoproteins Research 1
- CRISPR and Genetic Engineering 1
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- Autophagy in Disease and Therapy 3
- Co-authors
- Eileen White (2 shared papers)Guanghua Chen (1 shared paper)Kevin Bray (1 shared paper)Brian Beaudoin (1 shared paper)Xin Jin (1 shared paper)Kurt Degenhardt (1 shared paper)Robin Mathew (1 shared paper)Cristina M. Karp (1 shared paper)
- Journals
- Molecular Cancer Research (1 paper)Genes & Development (1 paper)Autophagy (1 paper)Nature Communications (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Sameera Kongara
5 papers receiving 985 citations
Sameera Kongara's Hit Papers
Peers
Comparison fields: 5 of 77
- Epidemiology 773
- Physiology 100
- Geriatrics and Gerontology 69
- Cell Biology 191
- Cancer Research 163
Countries citing papers authored by Sameera Kongara
This map shows the geographic impact of Sameera Kongara'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 Sameera Kongara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameera Kongara more than expected).
Fields of papers citing papers by Sameera Kongara
This network shows the impact of papers produced by Sameera Kongara. 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 Sameera Kongara. The network helps show where Sameera Kongara may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameera Kongara, 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 | Autophagy suppresses tumor progression by limiting chromosomal instability Hit paper breakdown → | 2007 | 772 |
| 2 | 2014 | 134 | |
| 3 | 2010 | 41 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 0 |
About Sameera Kongara
Sameera Kongara is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), MicroRNA in disease regulation (2 papers), Immune cells in cancer (1 paper), Epigenetics and DNA Methylation (1 paper), PARP inhibition in cancer therapy (1 paper), Cancer-related gene regulation (1 paper), Glycosylation and Glycoproteins Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Epidemiology (773 citations), Physiology (100 citations), Geriatrics and Gerontology (69 citations), Cell Biology (191 citations) and Cancer Research (163 citations). Sameera Kongara has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Eileen White, Guanghua Chen, Kevin Bray, Brian Beaudoin, Xin Jin, Kurt Degenhardt, Robin Mathew, Cristina M. Karp, Vassiliki Karantza and Fred Lozy. Their work appears in journals such as Molecular Cancer Research, Genes & Development, Autophagy, Nature Communications and Breast Cancer Research and Treatment.
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.