Kreshna Gopal

489 citations
12 papers · 347 · h-index 5

Impact in

    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Biochemical and Molecular Research
    • Glycosylation and Glycoproteins Research
    • RNA modifications and cancer

Papers in

    • Protein Structure and Dynamics 6
    • Glycosylation and Glycoproteins Research 2
    • Machine Learning in Bioinformatics 1
    • Enzyme Structure and Function 5
    • Machine Learning in Materials Science 3

Kreshna Gopal

10 papers receiving 344 citations

Peers

Kreshna Gopal
Comparison fields: 5 of 87
  • Virology 19
  • Molecular Biology 222
  • Structural Biology 3
  • Materials Chemistry 85
  • Infectious Diseases 31
Replace Misagh Naderi with:
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Kreshna Gopal relative to Misagh Naderi United States Misagh Naderi's profile →
Citations per field
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Misagh Naderi · 1×
Citations per year

Countries citing papers authored by Kreshna Gopal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 17 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.

Border = papers with Kreshna Gopal Line = papers co-authored together Kreshna Gopal links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003281
2 200741
3
TEXTAL TM : Artificial Intelligence Techniques for Automated Protein Structure Determination.
20035
4 20055
5
Evaluation of Geometric & Probabilistic Distance Measures To Retrieve Electron Density Patterns for Protein Structure Determination.
20044
6 20064
7 20002
8
Incorporating Concept Maps in a Slide Presentation Tool for the Classroom Environment.
20022
9
TEXTAL™: automated crystallographic protein structure determination
20051
10 20071
11 20221
12
Efficient case-based reasoning through feature weighting, and its application in protein crystallography
20070

About Kreshna Gopal

Kreshna Gopal is a scholar working on Molecular Biology, Materials Chemistry, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers), Machine Learning in Materials Science (3 papers), AI-based Problem Solving and Planning (2 papers), Glycosylation and Glycoproteins Research (2 papers), Urban Stormwater Management Solutions (1 paper), Semantic Web and Ontologies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Virology (19 citations), Molecular Biology (222 citations), Structural Biology (3 citations), Materials Chemistry (85 citations) and Infectious Diseases (31 citations). Kreshna Gopal has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas R. Ioerger, Tod D. Romo, James C. Sacchettini, Reetal Pai, Paul D. Adams, Randy J. Read, Nicholas K. Sauter, Airlie J. McCoy, Li‐Wei Hung and Laurent C. Storoni. Their work appears in journals such as Journal of Synchrotron Radiation, Journal of Bioinformatics and Computational Biology, Bioinformatics, Innovative Applications of 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.

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