D-Index & Metrics Best Publications

Gajendra P. S. Raghava

Indraprastha Institute of Information Technology Delhi
India

Biology and Biochemistry

India

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 77 Citations 21,179 322 World Ranking 2988 National Ranking 5

Research.com Recognitions

Awards & Achievements

2023 - Research.com Biology and Biochemistry in India Leader Award

2022 - Research.com Biology and Biochemistry in India Leader Award

Overview

What is he best known for?

The fields of study Gajendra P. S. Raghava is best known for:

Fracture mechanics
Paris' law
Mechanical engineering

As part of his studies on Composite material, Gajendra P. S. Raghava often connects relevant subjects like Bending. Bending is closely attributed to Composite material in his work. Gajendra P. S. Raghava conducted interdisciplinary study in his works that combined Structural engineering and Geotechnical engineering. He performs integrative Geotechnical engineering and Structural engineering research in his work. In his works, he undertakes multidisciplinary study on Forensic engineering and Fracture mechanics. Gajendra P. S. Raghava conducts interdisciplinary study in the fields of Fracture mechanics and Forensic engineering through his works. In his articles, he combines various disciplines, including Mechanical engineering and Piping. He brings together Piping and Mechanical engineering to produce work in his papers. His research on Oceanography often connects related areas such as Seawater.

His most cited work include:

Fatigue crack growth in stiffened steel tubular joints in seawater environment (40 citations)
Ratcheting failure of pressurised straight pipes and elbows under reversed bending (36 citations)

What are the main themes of his work throughout his whole career to date

Gajendra P. S. Raghava is involved in relevant fields of research such as Safety factor and Fracture (geology) in the field of Geotechnical engineering. His study connects Geotechnical engineering and Fracture (geology). Structural engineering is closely attributed to Bending in his research. His study ties his expertise on Fillet (mechanics) together with the subject of Composite material. His study in Structural engineering extends to Fillet (mechanics) with its themes. In his papers, Gajendra P. S. Raghava integrates diverse fields, such as Fracture mechanics and Forensic engineering. He merges Forensic engineering with Fracture mechanics in his research. Gajendra P. S. Raghava performs multidisciplinary study on Welding and Fillet weld in his works. In his papers, Gajendra P. S. Raghava integrates diverse fields, such as Fillet weld and Welding.

Gajendra P. S. Raghava most often published in these fields:

Structural engineering (92.31%)
Composite material (84.62%)
Fracture mechanics (38.46%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Prediction of continuous B-cell epitopes in an antigen using recurrent neural network.

Sudipto Saha;G. P. S. Raghava.
Proteins (2006)

980 Citations

ProPred: prediction of HLA-DR binding sites

Harpreet Singh;G. P. S. Raghava.
Bioinformatics (2001)

910 Citations

AlgPred: prediction of allergenic proteins and mapping of IgE epitopes.

Sudipto Saha;G. P. S. Raghava.
Nucleic Acids Research (2006)

480 Citations

In Silico Approach for Predicting Toxicity of Peptides and Proteins

Sudheer Gupta;Pallavi Kapoor;Kumardeep Chaudhary;Ankur Gautam.
PLOS ONE (2013)

416 Citations

ProPred1: prediction of promiscuous MHC Class-I binding sites.

Harpreet Singh;G.P.S. Raghava.
Bioinformatics (2003)

409 Citations

BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties

Sudipto Saha;G. P. S. Raghava.
international conference on artificial immune systems (2004)

377 Citations

ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST

Manoj Bhasin;G. P. S. Raghava.
Nucleic Acids Research (2004)

373 Citations

Prediction of CTL epitopes using QM, SVM and ANN techniques.

Manoj Bhasin;G.P.S. Raghava.
Vaccine (2004)

356 Citations

THPdb: Database of FDA-approved peptide and protein therapeutics

Salman Sadullah Usmani;Gursimran Bedi;Jesse S. Samuel;Sandeep Singh.
PLOS ONE (2017)

338 Citations

Prediction of RNA binding sites in a protein using SVM and PSSM profile

Manish Kumar;M. Michael Gromiha;G. P. S. Raghava.
Proteins (2008)

297 Citations

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Gajendra P. S. Raghava

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is he best known for?

The fields of study Gajendra P. S. Raghava is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Gajendra P. S. Raghava most often published in these fields:

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