Sameera Kongara

1.2k citations
6 papers · 1.0k indexed · 1 hit paper · h-index 5
Topics
Autophagy in Disease and Therapy (3 papers)MicroRNA in disease regulation (2 papers)Glycosylation and Glycoproteins Research (1 paper)

In The Last Decade

Sameera Kongara

5 papers receiving 985 citations

Hit Papers

Autophagy suppresses tumor progression by limiting chromo...20072026201320192007250500750

Peers

Sameera Kongara
Comparison fields: 5 of 77
  • Epidemiology 773
  • Molecular Biology 629
  • Cell Biology 191
  • Cancer Research 163
  • Oncology 110
Replace Aparajita H. Chourasia with:
Aparajita H. Chourasia United States
Jun-Ichi Sakamaki Japan
Wei-jie Deng China
Xiyan Xiang China
Wen-Dan Chen China
Leeanna El–Houjeiri Canada
Mariano Ruiz de Almodóvar Spain
Gil Hong Park South Korea
Brian B. Lee United States
Olesya Vakhrusheva Germany
Sameera Kongara relative to Aparajita H. Chourasia United States Aparajita H. Chourasia's profile →
Citations per field
00.5×1.5×1.8×
Aparajita H. Chourasia · 1×
Citations per year

Countries citing papers authored by Sameera Kongara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sameera Kongara

This figure shows the co-authorship network connecting the top 25 collaborators of Sameera Kongara. A scholar is included among the top collaborators of Sameera Kongara 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 Sameera Kongara. Sameera Kongara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 27
3 28
4 134
5 41
6
Autophagy suppresses tumor progression by limiting chromosomal instabilitybreakdown →
772

About Sameera Kongara

Sameera Kongara is a scholar working on Cancer Research, Epidemiology and Oncology, 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) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Epidemiology (773 citations), Physiology (100 citations) and Geriatrics and Gerontology (69 citations). Sameera Kongara has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Eileen White, Kurt Degenhardt, Robin Mathew, Xin Jin, Brian Beaudoin, Guanghua Chen, Cristina M. Karp, Kevin Bray, Vassiliki Karantza and Fred Lozy. Their work appears in journals such as Nature Communications, Genes & Development and Autophagy.

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.

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