Kanaga Sabapathy

6.3k citations
96 papers · 5.0k indexed · 1 hit paper · h-index 40
Topics
Cancer-related Molecular Pathways (49 papers)Cancer Research and Treatments (22 papers)Cell death mechanisms and regulation (17 papers)

In The Last Decade

Kanaga Sabapathy

92 papers receiving 5.0k citations

Hit Papers

Therapeutic targeting of p53: all mutants are equal, but ...20172026202020232017100200300

Peers

Kanaga Sabapathy
Comparison fields: 5 of 112
  • Molecular Biology 3.5k
  • Oncology 2.1k
  • Cancer Research 1.2k
  • Immunology 755
  • Biotechnology 366
Replace Gen Sheng Wu with:
Gen Sheng Wu United States
Lindsey D. Mayo United States
Rachel A. Ridgway United Kingdom
Kurt Engeland Germany
Srikumar Chellappan United States
Hayla K. Sluss United States
Oleksi Petrenko United States
Toshinori Ozaki Japan
Kiyotsugu Yoshida Japan
Gong Yang China
Kanaga Sabapathy relative to Gen Sheng Wu United States Gen Sheng Wu's profile →
Citations per field
00.5×1.5×2.3×
Gen Sheng Wu · 1×
Citations per year

Countries citing papers authored by Kanaga Sabapathy

Since Specialization
Citations

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

Fields of papers citing papers by Kanaga Sabapathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanaga Sabapathy. 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 Kanaga Sabapathy. The network helps show where Kanaga Sabapathy may publish in the future.

Co-authorship network of co-authors of Kanaga Sabapathy

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 4
5 75
6 1
7 75
8 31
9 26
10 6
11 21
12 34
13 3
14 29
15 56
16 65
17 45
18 90
19 190
20 137

About Kanaga Sabapathy

Kanaga Sabapathy is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 96 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (49 papers), Cancer Research and Treatments (22 papers) and Cell death mechanisms and regulation (17 papers). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (1.2k citations) and Molecular Biology (3.5k citations). Kanaga Sabapathy has collaborated with scholars based in Singapore, United States and Austria. Frequent co-authors include Erwin F. Wagner, David P. Lane, Konrad Hochedlinger, Jean‐Pierre David, Michael Karin, Monowarul Mobin Siddique, Wolfram Jochum, Tuula Kallunki, Oskar Hoffmann and Faina Vikhanskaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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