Krishna C. Bulusu
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Oncology
- Organic Chemistry
- Cancer Research
- Co-authors
- Andreas BenderRichard P. LewisKristina PreuerSepp HochreiterGünter KlambauerBissan Al‐LazikaniRajarshi GuhaShobith Rangappa
- Topics
- Computational Drug Discovery Methods (8 papers)Bioinformatics and Genomic Networks (7 papers)Lung Cancer Treatments and Mutations (4 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Krishna C. Bulusu
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 698
- Computational Theory and Mathematics 451
- Oncology 191
- Organic Chemistry 147
- Cancer Research 133
Countries citing papers authored by Krishna C. Bulusu
This map shows the geographic impact of Krishna C. Bulusu'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 Krishna C. Bulusu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna C. Bulusu more than expected).
Fields of papers citing papers by Krishna C. Bulusu
This network shows the impact of papers produced by Krishna C. Bulusu. 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 Krishna C. Bulusu. The network helps show where Krishna C. Bulusu may publish in the future.
Co-authorship network of co-authors of Krishna C. Bulusu
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna C. Bulusu. A scholar is included among the top collaborators of Krishna C. Bulusu 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 Krishna C. Bulusu. Krishna C. Bulusu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Analysis of acquired resistance mechanisms to osimertinib in patients with EGFR-mutated advanced non-small cell lung cancer from the AURA3 trialbreakdown → | 95 |
| 6 | 48 | |
| 7 | 10 | |
| 8 | 20 | |
| 9 | DeepSynergy: predicting anti-cancer drug synergy with Deep Learningbreakdown → | 382 |
| 10 | 23 | |
| 11 | 45 | |
| 12 | 3 | |
| 13 | 138 | |
| 14 | 40 | |
| 15 | 28 | |
| 16 | 149 | |
| 17 | 51 | |
| 18 | 67 |
About Krishna C. Bulusu
Krishna C. Bulusu is a scholar working on Computational Theory and Mathematics, Modeling and Simulation and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (7 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Computational Theory and Mathematics (451 citations), Molecular Biology (698 citations) and Health Informatics (12 citations). Krishna C. Bulusu has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Andreas Bender, Richard P. Lewis, Kristina Preuer, Sepp Hochreiter, Günter Klambauer, Bissan Al‐Lazikani, Rajarshi Guha, Shobith Rangappa, Basappa Basappa and Murat Cokol. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.