Rama Balakrishnan

9.8k total citations · 1 hit paper
24 papers, 1.6k citations indexed

About

Rama Balakrishnan is a scholar working on Molecular Biology, Food Science and Artificial Intelligence. According to data from OpenAlex, Rama Balakrishnan has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Food Science and 5 papers in Artificial Intelligence. Recurrent topics in Rama Balakrishnan's work include Bioinformatics and Genomic Networks (13 papers), Biomedical Text Mining and Ontologies (9 papers) and Fungal and yeast genetics research (7 papers). Rama Balakrishnan is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Biomedical Text Mining and Ontologies (9 papers) and Fungal and yeast genetics research (7 papers). Rama Balakrishnan collaborates with scholars based in United States, United Kingdom and Canada. Rama Balakrishnan's co-authors include J. Michael Cherry, Gail Binkley, Midori A. Harris, Shuai Weng, Dianna G. Fisk, Selina S. Dwight, Karen Christie, Kalpana Karra, Benjamin C. Hitz and Rachael P. Huntley and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Molecular Cell.

In The Last Decade

Rama Balakrishnan

23 papers receiving 1.6k citations

Hit Papers

Saccharomyces genome database 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Rama Balakrishnan
Comparison fields: 5 of 126
  • Molecular Biology 1.4k
  • Plant Science 158
  • Genetics 139
  • Food Science 136
  • Cell Biology 110
Replace Michele Magrane with:
Michele Magrane United Kingdom
Kiyoko F. Aoki‐Kinoshita Japan
Jean‐Bosco Tagne United States
Gabriella Rustici United Kingdom
Toshiaki Katayama Japan
David Hess United States
Timothy Danford United States
Xun Wang China
Dianna G. Fisk United States
Wenliang Pan China
Michele Magrane United Kingdom View profile →
Citations per field, relative to Rama Balakrishnan
Rama Balakrishnan · 1×
Citations per year, relative to Rama Balakrishnan
Rama Balakrishnan · 1×

Countries citing papers authored by Rama Balakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Rama Balakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rama Balakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Rama Balakrishnan. A scholar is included among the top collaborators of Rama Balakrishnan 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 Rama Balakrishnan. Rama Balakrishnan 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 0
2 11
3 2
4 34
5 21
6 32
7 13
8 20
9 1
10 71
11 41
12 120
13 130
14 7
15 207
16 14
17 3
18 1
19
Saccharomyces genome database breakdown →
531
20 1

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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