Guruprasad Kora
About
In The Last Decade
Guruprasad Kora
13 papers receiving 298 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 246
- Spectroscopy 121
- Ecology 47
- Biomedical Engineering 31
- Genetics 18
Countries citing papers authored by Guruprasad Kora
This map shows the geographic impact of Guruprasad Kora'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 Guruprasad Kora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guruprasad Kora more than expected).
Fields of papers citing papers by Guruprasad Kora
This network shows the impact of papers produced by Guruprasad Kora. 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 Guruprasad Kora. The network helps show where Guruprasad Kora may publish in the future.
Co-authorship network of co-authors of Guruprasad Kora
This figure shows the co-authorship network connecting the top 25 collaborators of Guruprasad Kora. A scholar is included among the top collaborators of Guruprasad Kora 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 Guruprasad Kora. Guruprasad Kora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam | BMC Evolutionary Biology | Guruprasad Kora, Tae-Hyuk Ahn et al. | 15 |
| 2 | Quality scores for 32,000 genomes | Standards in Genomic Sciences | Miriam Land, Doug Hyatt et al. | 28 |
| 3 | MIDAS: A Database-Searching Algorithm for Metabolite Identification in Metabolomics | Analytical Chemistry | Yingfeng Wang, Guruprasad Kora et al. | 93 |
| 4 | Shewanella knowledgebase: integration of the experimental data and computational predictions suggests a biological role for transcription of intergenic regions | Database | Tatiana V. Karpinets, Margaret F. Romine et al. | 10 |
| 5 | Transparent runtime parallelization of the R scripting language | Journal of Parallel and Distributed Computing | Xiaosong Ma, Srikanth B. Yoginath et al. | 8 |
| 6 | pR: Lightweight, Easy-to-Use Middleware to Plugin Parallel Analytical Computing with R. | William Hendrix, Guruprasad Kora et al. | 1 | |
| 7 | Conserved synteny at the protein family level reveals genes underlying Shewanella species’ cold tolerance and predicts their novel phenotypes | Functional & Integrative Genomics | Tatiana V. Karpinets, Anna Obraztsova et al. | 14 |
| 8 | Shewregdb: Database and visualization environment for experimental and predicted regulatory information in Shewanella oneidensis mr-1 | Bioinformation | Mustafa Syed, Tatiana V. Karpinets et al. | 3 |
| 9 | Automatic, transparent runtime parallelization of the R scripting language | NCSU Libraries Repository (North Carolina State University Libraries) | Xiaosong Ma, Srikanth B. Yoginath et al. | 2 |
| 10 | ProRata: A Quantitative Proteomics Program for Accurate Protein Abundance Ratio Estimation with Confidence Interval Evaluation | Analytical Chemistry | Chongle Pan, Guruprasad Kora et al. | 82 |
| 11 | Robust Estimation of Peptide Abundance Ratios and Rigorous Scoring of Their Variability and Bias in Quantitative Shotgun Proteomics | Analytical Chemistry | Chongle Pan, Guruprasad Kora et al. | 32 |
| 12 | High performance statistical computing with parallel R: applications to biology and climate modelling | Journal of Physics Conference Series | Nagiza F. Samatova, M. L. Branstetter et al. | 7 |
| 13 | RScaLAPACK: High-Performance Parallel Statistical Computing with R and ScaLAPACK. | Srikanth B. Yoginath, Nagiza F. Samatova et al. | 6 |
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.