Krishna Murthi Vasudevan

868 citations
7 papers · 669 indexed · h-index 6
Topics
Cell death mechanisms and regulation (5 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)

In The Last Decade

Krishna Murthi Vasudevan

7 papers receiving 655 citations

Peers

Krishna Murthi Vasudevan
Comparison fields: 5 of 78
  • Molecular Biology 525
  • Cancer Research 160
  • Oncology 152
  • Cell Biology 87
  • Immunology 77
Replace Dong‐Hoon Jin with:
Dong‐Hoon Jin South Korea
Tammy Flagg United States
Vincent Denis France
Sarah Yoon South Korea
Lieqi Liu Canada
Sailu Sarvagalla India
Shuyun Rao United States
Valentina Condelli Italy
Hanzhang Xu China
Rebecca Gilley United Kingdom
Krishna Murthi Vasudevan relative to Dong‐Hoon Jin South Korea Dong‐Hoon Jin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Krishna Murthi Vasudevan

Since Specialization
Citations

This map shows the geographic impact of Krishna Murthi Vasudevan'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 Krishna Murthi Vasudevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Murthi Vasudevan more than expected).

Fields of papers citing papers by Krishna Murthi Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Murthi Vasudevan. 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 Krishna Murthi Vasudevan. The network helps show where Krishna Murthi Vasudevan may publish in the future.

Co-authorship network of co-authors of Krishna Murthi Vasudevan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 104
2 54
3 2
4 92
5 206
6 84
7
Par-4 drives trafficking and activation of Fas and Fasl to induce prostate cancer cell apoptosis and tumor regression.
127

About Krishna Murthi Vasudevan

Krishna Murthi Vasudevan is a scholar working on Cancer Research, Cell Biology and Molecular Biology, having authored 7 papers that have together received 669 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cancer Research (160 citations), Molecular Biology (525 citations) and Oncology (152 citations). Krishna Murthi Vasudevan has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Vivek M. Rangnekar, Sushma Gurumurthy, Levi A. Garraway, Anindya Goswami, Shirley Qiu, M Chakraborty and Ravshan Burikhanov. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

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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