D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 69 Citations 32,430 199 World Ranking 3161 National Ranking 1621

Research.com Recognitions

Awards & Achievements

2012 - Fellow of the American Statistical Association (ASA)

2006 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Statistics
  • Enzyme

Debashis Ghosh mostly deals with Prostate cancer, Cancer research, Gene expression profiling, DNA microarray and Active site. His studies deal with areas such as Prostate, Bioinformatics and Pathology as well as Prostate cancer. His work carried out in the field of Cancer research brings together such families of science as Immunology, EZH2, Metastasis, Chromoplexy and ETV1.

The subject of his Gene expression profiling research is within the realm of Gene. His DNA microarray research includes themes of Statistical hypothesis testing, Experimental data, Microarray analysis techniques, Microarray and Computational biology. His Active site research incorporates themes from Dehydrogenase, Aromatase, Stereochemistry and Substrate.

His most cited work include:

  • ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform (2220 citations)
  • The polycomb group protein EZH2 is involved in progression of prostate cancer (2107 citations)
  • Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression (1590 citations)

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

The scientist’s investigation covers issues in Biochemistry, Artificial intelligence, Statistics, Stereochemistry and Computational biology. His Artificial intelligence research integrates issues from Machine learning, Multivariate statistics and Pattern recognition. His research investigates the connection with Stereochemistry and areas like Dehydrogenase which intersect with concerns in Oxidoreductase.

His Computational biology research is multidisciplinary, incorporating perspectives in Multiple comparisons problem, Bioinformatics, Gene expression profiling, Microarray and DNA microarray. His studies link Cancer with Bioinformatics. His Gene expression profiling study introduces a deeper knowledge of Gene.

He most often published in these fields:

  • Biochemistry (22.20%)
  • Artificial intelligence (11.41%)
  • Statistics (10.58%)

What were the highlights of his more recent work (between 2015-2021)?

  • Statistics (10.58%)
  • Artificial intelligence (11.41%)
  • Covariate (7.68%)

In recent papers he was focusing on the following fields of study:

Debashis Ghosh spends much of his time researching Statistics, Artificial intelligence, Covariate, Causal inference and Internal medicine. His biological study spans a wide range of topics, including Machine learning and Pattern recognition. Debashis Ghosh has included themes like Estimand, Regression discontinuity design and Survival analysis in his Covariate study.

His work deals with themes such as Gastroenterology, Visceral leishmaniasis and Oncology, which intersect with Internal medicine. His studies in Oncology integrate themes in fields like Cancer, Increased risk, Retrospective cohort study and Lymphoma. His Cancer research includes elements of Cancer research and Radiology.

Between 2015 and 2021, his most popular works were:

  • Methylacyl Coenzyme A Racemase as a Tissue Biomarker for Prostate Cancer (64 citations)
  • Obstetric Anesthesia Workforce Survey: A 30-Year Update. (59 citations)
  • Survival outcomes with concurrent chemoradiation for elderly patients with locally advanced head and neck cancer according to the National Cancer Data Base (56 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • Statistics

Debashis Ghosh mainly focuses on Cancer, Internal medicine, Visceral leishmaniasis, Hazard ratio and Artificial intelligence. His study in Cancer is interdisciplinary in nature, drawing from both Genome-wide association study, DNA methylation, Bioinformatics, Omics data and Radiology. His work is connected to Lung cancer and Prostate cancer, as a part of Internal medicine.

His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Logistic regression, Medical diagnosis, MEDLINE and Pattern recognition. In his study, which falls under the umbrella issue of Pathology, Cancer research is strongly linked to Cancer cell. He combines subjects such as Covariate and Multivariate analysis with his study of Genetics.

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

ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform

Daniel R. Rhodes;Jianjun Yu;K. Shanker;Nandan Deshpande.
Neoplasia (2004)

2830 Citations

The polycomb group protein EZH2 is involved in progression of prostate cancer

Sooryanarayana Varambally;Saravana M. Dhanasekaran;Ming Zhou;Terrence R. Barrette.
Nature (2002)

2829 Citations

Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression

Arun Sreekumar;Laila M. Poisson;Thekkelnaycke M. Rajendiran;Amjad P. Khan.
Nature (2009)

2117 Citations

Delineation of prognostic biomarkers in prostate cancer.

Saravana M. Dhanasekaran;Terrence R. Barrette;Debashis Ghosh;Rajal Shah.
Nature (2001)

2028 Citations

EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells

Celina G. Kleer;Qi Cao;Sooryanarayana Varambally;Ronglai Shen.
Proceedings of the National Academy of Sciences of the United States of America (2003)

1753 Citations

Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.

Daniel R. Rhodes;Shanker Kalyana-Sundaram;Vasudeva Mahavisno;Radhika Varambally.
Neoplasia (2007)

1671 Citations

Short-chain dehydrogenases/reductases (SDR).

Hans Jörnvall;Bengt Persson;Maria Krook;Silvia Atrian.
Biochemistry (1995)

1494 Citations

Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression

Daniel R. Rhodes;Jianjun Yu;K. Shanker;Nandan Deshpande.
Proceedings of the National Academy of Sciences of the United States of America (2004)

1096 Citations

Meta-analysis of the association between a serotonin transporter promoter polymorphism (5-HTTLPR) and anxiety-related personality traits

Srijan Sen;Margit L. Burmeister;Debashis Ghosh.
American Journal of Medical Genetics (2004)

870 Citations

α-Methylacyl Coenzyme A Racemase as a Tissue Biomarker for Prostate Cancer

Mark A. Rubin;Ming Zhou;Saravana M. Dhanasekaran;Sooryanarayana Varambally.
JAMA (2002)

833 Citations

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(Impact Factor: 1.701)

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