Prashanth T. Bhaskar

3.1k citations
9 papers · 2.5k · 3 hit papers · h-index 9

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Metabolism, Diabetes, and Cancer 3
    • Cell death mechanisms and regulation 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Pancreatic function and diabetes 3

Prashanth T. Bhaskar

9 papers receiving 2.5k citations

Prashanth T. Bhaskar's Hit Papers

Hexokinase 2 Is Required for Tumor Initiation and Maintenance and Its Systemic Deletion Is Therapeutic in Mouse Models of Cancer 2013 · 689 citations
6890+7+14Years since publication200400600

Peers

Prashanth T. Bhaskar
Comparison fields: 5 of 101
  • Cancer Research 848
  • Aging 82
  • Molecular Biology 1.8k
  • Geriatrics and Gerontology 44
  • Oncology 292
Replace Isabel López de Silanes with:
Isabel López de Silanes Spain
Gerta Hoxhaj United States
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Jessica L. Yecies United States
Chia-Chen Chen Taiwan
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Citations per field
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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-authors

The 25 scholars most cited alongside Prashanth T. Bhaskar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashanth T. Bhaskar Line = papers co-authored together Prashanth T. Bhaskar links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Hexokinase 2 Is Required for Tumor Initiation and Maintenance and Its Systemic Deletion Is Therapeutic in Mouse Models of Cancer
Hit paper breakdown →
2013689
2
The Two TORCs and Akt
Hit paper breakdown →
2007682
3
Hexokinase-Mitochondria Interaction Mediated by Akt Is Required to Inhibit Apoptosis in the Presence or Absence of Bax and Bak
Hit paper breakdown →
2004529
4 2010299
5 2006197
6 202258
7 200942
8 201330
9 20158

About Prashanth T. Bhaskar

Prashanth T. Bhaskar is a scholar working on Molecular Biology, Surgery, Cancer Research, Pathology and Forensic Medicine and Oncology, 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), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (2 papers), Cell death mechanisms and regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Cancer Research (848 citations), Aging (82 citations), Molecular Biology (1.8k citations), Geriatrics and Gerontology (44 citations) and Oncology (292 citations). Prashanth T. Bhaskar has collaborated with scholars based in United States, Finland and South Korea. Frequent co-authors include Nissim Hay, Véronique Nogueira, R. Brooks Robey, Navdeep S. Chandel, Krushna C. Patra, Chia-Chen Chen, Nathan Majewski, Craig B. Thompson, Kathrin Gottlob and Eric L. Allen. Their work appears in journals such as Cancer Cell, Developmental Cell, Nature Communications, Cell Reports and Molecular Cell.

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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