Vasudeva Mahavisno

3.3k citations
8 papers · 2.5k indexed · 1 hit paper · h-index 7
Topics
Bioinformatics and Genomic Networks (6 papers)Gene expression and cancer classification (5 papers)RNA modifications and cancer (2 papers)
Partner nations
United States

In The Last Decade

Vasudeva Mahavisno

8 papers receiving 2.5k citations

Hit Papers

Oncomine 3.0: Genes, Pathways, and Networks in a Collecti...2007202620132019200750010001.5k

Peers

Vasudeva Mahavisno
Comparison fields: 5 of 112
  • Molecular Biology 2.0k
  • Cancer Research 598
  • Oncology 573
  • Pulmonary and Respiratory Medicine 566
  • Immunology 236
Replace Laura A. Marlow with:
Laura A. Marlow United States
Vanessa Rodrik-Outmezguine United States
Alan Huang United States
Yuelin J. Zhu United States
Sidong Huang Canada
Kimberly Stegmaier United States
Antonella Papa United States
Zhan Yao United States
Malte Peters United States
Kakajan Komurov United States
Vasudeva Mahavisno relative to Laura A. Marlow United States Laura A. Marlow's profile →
Citations per field
00.5×1.5×
Laura A. Marlow · 1×
Citations per year

Countries citing papers authored by Vasudeva Mahavisno

Since Specialization
Citations

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

Fields of papers citing papers by Vasudeva Mahavisno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasudeva Mahavisno

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 60
2 2
3 122
4 78
5 104
6
Oncomine 3.0: Genes, Pathways, and Networks in a Collection of 18,000 Cancer Gene Expression Profilesbreakdown →
1690
7 140
8 312

About Vasudeva Mahavisno

Vasudeva Mahavisno is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy, having authored 8 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (5 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (598 citations), Molecular Biology (2.0k citations) and Oncology (573 citations). Vasudeva Mahavisno has collaborated with scholars based in United States. Frequent co-authors include Terrence R. Barrette, Arul M. Chinnaiyan, Daniel R. Rhodes, Shanker Kalyana‐Sundaram, Debashis Ghosh, Prakash Kulkarni, Jianjun Yu, Debashis Ghosh, Scott A. Tomlins and Sooryanarayana Varambally. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Nature Biotechnology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026