Shridar Ganesan

20.3k total citations · 8 hit papers
204 papers, 12.7k citations indexed

About

Shridar Ganesan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Shridar Ganesan has authored 204 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 81 papers in Oncology and 61 papers in Cancer Research. Recurrent topics in Shridar Ganesan's work include Cancer Genomics and Diagnostics (42 papers), DNA Repair Mechanisms (30 papers) and AI in cancer detection (20 papers). Shridar Ganesan is often cited by papers focused on Cancer Genomics and Diagnostics (42 papers), DNA Repair Mechanisms (30 papers) and AI in cancer detection (20 papers). Shridar Ganesan collaborates with scholars based in United States, Netherlands and India. Shridar Ganesan's co-authors include David M. Livingston, Anant Madabhushi, Ronny Drapkin, Michael D. Feldman, Gyan Bhanot, Ajay Basavanhally, John Tomaszewski, Andrew L. Kung, Thomas Jenuwein and Chryssa Kanellopoulou and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shridar Ganesan

192 papers receiving 12.5k citations

Hit Papers

Dicer-deficient mouse embryonic stem cells are defective ... 2001 2026 2009 2017 2005 2001 2006 2001 2014 250 500 750

Peers

Shridar Ganesan
Comparison fields: 5 of 169
  • Molecular Biology 7.8k
  • Oncology 3.5k
  • Cancer Research 3.1k
  • Genetics 1.6k
  • Artificial Intelligence 1.6k
Replace Sunil Badve with:
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Lodewyk F.A. Wessels Netherlands
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Sunil Badve United States View profile →
Citations per field, relative to Shridar Ganesan
Shridar Ganesan · 1×
Citations per year, relative to Shridar Ganesan
Shridar Ganesan · 1×

Countries citing papers authored by Shridar Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Shridar Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shridar Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of Shridar Ganesan. A scholar is included among the top collaborators of Shridar Ganesan 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 Shridar Ganesan. Shridar Ganesan 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
# Work Indexed citations
1 1
2 0
3 0
4 9
5 5
6 8
7 8
8 4
9 9
10 78
11 19
12 8
13 32
14 157
15 111
16 388
17 205
18 41
19 207
20 166

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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