Kreshna Gopal
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
Papers in
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- Enzyme Structure and Function 7
- Machine Learning in Materials Science 4
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- Protein Structure and Dynamics 6
- Glycosylation and Glycoproteins Research 2
- Gene expression and cancer classification 1
- Co-authors
- Thomas R. Ioerger (12 shared papers)James C. Sacchettini (9 shared papers)Tod D. Romo (8 shared papers)Reetal Pai (6 shared papers)Laurent C. Storoni (2 shared papers)Nicholas K. Sauter (2 shared papers)Randy J. Read (2 shared papers)Ralf W. Grosse‐Kunstleve (2 shared papers)
- Journals
- Bioinformatics (1 paper)Journal of Bioinformatics and Computational Biology (1 paper)Journal of Synchrotron Radiation (1 paper)National Conference on Artificial Intelligence (1 paper)International Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Kreshna Gopal
13 papers receiving 371 citations
Peers
Comparison fields: 5 of 88
- Virology 19
- Molecular Biology 233
- Structural Biology 3
- Materials Chemistry 92
- Infectious Diseases 32
Countries citing papers authored by Kreshna Gopal
This map shows the geographic impact of Kreshna Gopal'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 Kreshna Gopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kreshna Gopal more than expected).
Fields of papers citing papers by Kreshna Gopal
This network shows the impact of papers produced by Kreshna Gopal. 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 Kreshna Gopal. The network helps show where Kreshna Gopal may publish in the future.
Co-authors
The 19 scholars most cited alongside Kreshna Gopal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 294 | |
| 2 | 2007 | 44 | |
| 3 | 2005 | 6 | |
| 4 | 2007 | 6 | |
| 5 | Evaluation of Geometric & Probabilistic Distance Measures To Retrieve Electron Density Patterns for Protein Structure Determination. | 2004 | 5 |
| 6 | TEXTAL TM : Artificial Intelligence Techniques for Automated Protein Structure Determination. | 2003 | 5 |
| 7 | 2006 | 4 | |
| 8 | 2000 | 3 | |
| 9 | 2006 | 2 | |
| 10 | 2022 | 2 | |
| 11 | Efficient case-based reasoning through feature weighting, and its application in protein crystallography | 2007 | 2 |
| 12 | Incorporating Concept Maps in a Slide Presentation Tool for the Classroom Environment. | 2002 | 2 |
| 13 | TEXTAL™: automated crystallographic protein structure determination | 2005 | 1 |
| 14 | 2007 | 1 |
About Kreshna Gopal
Kreshna Gopal is a scholar working on Materials Chemistry, Molecular Biology, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 14 papers that have together received 377 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (6 papers), Machine Learning in Materials Science (4 papers), Glycosylation and Glycoproteins Research (2 papers), AI-based Problem Solving and Planning (2 papers), Crystallography and molecular interactions (2 papers), Gene expression and cancer classification (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Virology (19 citations), Molecular Biology (233 citations), Structural Biology (3 citations), Materials Chemistry (92 citations) and Infectious Diseases (32 citations). Kreshna Gopal has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas R. Ioerger, James C. Sacchettini, Tod D. Romo, Reetal Pai, Laurent C. Storoni, Nicholas K. Sauter, Randy J. Read, Ralf W. Grosse‐Kunstleve, Li‐Wei Hung and Thomas C. Terwilliger. Their work appears in journals such as Bioinformatics, Journal of Bioinformatics and Computational Biology, Journal of Synchrotron Radiation, National Conference on Artificial Intelligence and International Conference on Artificial Intelligence.
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.