Balaguru Ravikumar

719 total citations
9 papers, 264 citations indexed

About

Balaguru Ravikumar is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Balaguru Ravikumar has authored 9 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Balaguru Ravikumar's work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Balaguru Ravikumar is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Balaguru Ravikumar collaborates with scholars based in Finland, United States and Denmark. Balaguru Ravikumar's co-authors include Tero Aittokallio, Anna Cichońska, Krister Wennerberg, Elina Parri, Sanna Timonen, Rayees Rahman, Juho Rousu, Antti Airola, Tapio Pahikkala and Alina Malyutina and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Current Opinion in Structural Biology.

In The Last Decade

Balaguru Ravikumar

9 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Balaguru Ravikumar Finland 7 185 175 37 33 23 9 264
Dominique Sydow Germany 9 243 1.3× 177 1.0× 46 1.2× 40 1.2× 43 1.9× 15 356
Fei Tong China 7 204 1.1× 140 0.8× 53 1.4× 46 1.4× 37 1.6× 16 359
Volker Hähnke Germany 9 174 0.9× 162 0.9× 39 1.1× 45 1.4× 39 1.7× 18 296
Xiaochu Tong China 7 164 0.9× 185 1.1× 82 2.2× 21 0.6× 17 0.7× 14 293
Bogdan Zagribelnyy Russia 4 124 0.7× 111 0.6× 44 1.2× 17 0.5× 38 1.7× 8 233
Ngan K. Tran United States 5 179 1.0× 140 0.8× 53 1.4× 40 1.2× 39 1.7× 8 291
Sybilla Corbett United Kingdom 3 271 1.5× 261 1.5× 82 2.2× 36 1.1× 41 1.8× 5 486
Timothy Sheils United States 9 222 1.2× 130 0.7× 19 0.5× 13 0.4× 12 0.5× 12 313
Wan Xiang Shen China 8 288 1.6× 87 0.5× 65 1.8× 22 0.7× 10 0.4× 17 411
Vigneshwari Subramanian United Kingdom 8 243 1.3× 210 1.2× 76 2.1× 27 0.8× 12 0.5× 15 328

Countries citing papers authored by Balaguru Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by Balaguru Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balaguru Ravikumar

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

All Works

9 of 9 papers shown
1.
Cichońska, Anna, Balaguru Ravikumar, & Rayees Rahman. (2024). AI for targeted polypharmacology: The next frontier in drug discovery. Current Opinion in Structural Biology. 84. 102771–102771. 27 indexed citations
2.
Ravikumar, Balaguru, et al.. (2024). Leveraging multiple data types for improved compound-kinase bioactivity prediction. Nature Communications. 15(1). 7596–7596. 3 indexed citations
3.
Ravikumar, Balaguru, Richard Elliott, John C. Dawson, et al.. (2023). Chemogenomic library design strategies for precision oncology, applied to phenotypic profiling of glioblastoma patient cells. iScience. 26(7). 107209–107209. 4 indexed citations
4.
Trozzi, Francesco, et al.. (2023). Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures. Bioinformatics Advances. 3(1). vbad129–vbad129. 13 indexed citations
5.
Ravikumar, Balaguru, et al.. (2019). Chemogenomic Analysis of the Druggable Kinome and Its Application to Repositioning and Lead Identification Studies. Cell chemical biology. 26(11). 1608–1622.e6. 16 indexed citations
6.
Tanoli, Ziaurrehman, Markus Vähä‐Koskela, Balaguru Ravikumar, et al.. (2018). Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles. Database. 2018. 1–13. 47 indexed citations
7.
Ravikumar, Balaguru, et al.. (2017). C-SPADE: a web-tool for interactive analysis and visualization of drug screening experiments through compound-specific bioactivity dendrograms. Nucleic Acids Research. 45(W1). W495–W500. 11 indexed citations
8.
Ravikumar, Balaguru & Tero Aittokallio. (2017). Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery. Expert Opinion on Drug Discovery. 13(2). 179–192. 60 indexed citations
9.
Cichońska, Anna, Balaguru Ravikumar, Elina Parri, et al.. (2017). Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. PLoS Computational Biology. 13(8). e1005678–e1005678. 83 indexed citations

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

Breakdown of academic impact, for papers by Dominique Sydow Breakdown of academic impact, for papers by Fei Tong Breakdown of academic impact, for papers by Volker Hähnke Breakdown of academic impact, for papers by Xiaochu Tong Breakdown of academic impact, for papers by Bogdan Zagribelnyy Breakdown of academic impact, for papers by Ngan K. Tran Breakdown of academic impact, for papers by Sybilla Corbett Breakdown of academic impact, for papers by Timothy Sheils Breakdown of academic impact, for papers by Wan Xiang Shen Breakdown of academic impact, for papers by Vigneshwari Subramanian
Rankless by CCL
2026