Prashanth T. Bhaskar

3.0k citations
9 papers · 2.5k indexed · 3 hit papers · h-index 9
Topics
PI3K/AKT/mTOR signaling in cancer (5 papers)Cancer, Hypoxia, and Metabolism (3 papers)Metabolism, Diabetes, and Cancer (3 papers)

In The Last Decade

Prashanth T. Bhaskar

9 papers receiving 2.5k citations

Hit Papers

The Two TORCs and Akt2004202620112018200720132004200400600

Peers

Prashanth T. Bhaskar
Comparison fields: 5 of 103
  • Molecular Biology 1.9k
  • Cancer Research 890
  • Oncology 335
  • Immunology 237
  • Epidemiology 231
Replace Lucilla Luzi with:
Lucilla Luzi Italy
Gerta Hoxhaj United States
Kui Lei United States
Sang-Oh Yoon United States
Alessandro Rufini United Kingdom
Nada Y. Kalaany United States
Katherine M. Hannan Australia
Myriam Boukhali United States
Noëlle Ninane Belgium
In Kyoung Lim South Korea
Prashanth T. Bhaskar relative to Lucilla Luzi Italy Lucilla Luzi's profile →
Citations per field
00.5×1.5×2.5×
Lucilla Luzi · 1×
Citations per year

Countries citing papers authored by Prashanth T. Bhaskar

Since Specialization
Citations

This map shows the geographic impact of Prashanth T. Bhaskar'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 Prashanth T. Bhaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth T. Bhaskar more than expected).

Fields of papers citing papers by Prashanth T. Bhaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashanth T. Bhaskar. 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 Prashanth T. Bhaskar. The network helps show where Prashanth T. Bhaskar may publish in the future.

Co-authorship network of co-authors of Prashanth T. Bhaskar

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 52
2 8
3 29
4
Hexokinase 2 Is Required for Tumor Initiation and Maintenance and Its Systemic Deletion Is Therapeutic in Mouse Models of Cancerbreakdown →
677
5 296
6 40
7
The Two TORCs and Aktbreakdown →
678
8 197
9
Hexokinase-Mitochondria Interaction Mediated by Akt Is Required to Inhibit Apoptosis in the Presence or Absence of Bax and Bakbreakdown →
524

About Prashanth T. Bhaskar

Prashanth T. Bhaskar is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (890 citations), Aging (86 citations) and Molecular Biology (1.9k citations). Prashanth T. Bhaskar has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Nissim Hay, Véronique Nogueira, R. Brooks Robey, Navdeep S. Chandel, Chia-Chen Chen, Krushna C. Patra, Nathan Majewski, Kathrin Gottlob, Craig B. Thompson and Abhishek Jha. Their work appears in journals such as Nature Communications, Molecular Cell and Molecular and Cellular 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.

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