D-Index & Metrics Best Publications

D-Index & Metrics

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
Medicine D-index 71 Citations 21,041 423 World Ranking 14493 National Ranking 144

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Internal medicine

Hongbing Shen spends much of his time researching Genetics, Genome-wide association study, Internal medicine, Genotype and Cancer. His Genetics research is multidisciplinary, relying on both Meta-analysis and Lung cancer. His biological study spans a wide range of topics, including Polymorphism, Genetic predisposition, Han chinese, Genetic association and Locus.

The study incorporates disciplines such as Gastroenterology, Oncology and Pathology in addition to Internal medicine. He interconnects Odds ratio, Case-control study and Risk factor in the investigation of issues within Genotype. Hongbing Shen studied Cancer and Immunology that intersect with Gene silencing.

His most cited work include:

  • Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. (700 citations)
  • Serum MicroRNA Signatures Identified in a Genome-Wide Serum MicroRNA Expression Profiling Predict Survival of Non–Small-Cell Lung Cancer (654 citations)
  • Genetic variants of miRNA sequences and non-small cell lung cancer survival. (500 citations)

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

The scientist’s investigation covers issues in Internal medicine, Single-nucleotide polymorphism, Genetics, Oncology and Lung cancer. His study in Internal medicine is interdisciplinary in nature, drawing from both Genotype and Bioinformatics. His work is dedicated to discovering how Single-nucleotide polymorphism, Hepatocellular carcinoma are connected with Hepatitis B virus and other disciplines.

His Oncology research integrates issues from microRNA, Proportional hazards model, Hazard ratio, Stage and Breast cancer. His work deals with themes such as Cancer research, Carcinogenesis, Immunology, Lung cancer susceptibility and Adenocarcinoma, which intersect with Lung cancer. His Genome-wide association study research is multidisciplinary, incorporating elements of Genetic association and Locus.

He most often published in these fields:

  • Internal medicine (41.43%)
  • Single-nucleotide polymorphism (32.95%)
  • Genetics (31.95%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (41.43%)
  • Lung cancer (26.62%)
  • Genome-wide association study (25.79%)

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

Hongbing Shen mostly deals with Internal medicine, Lung cancer, Genome-wide association study, Genetic association and Oncology. His research on Internal medicine frequently links to adjacent areas such as Gastroenterology. His Lung cancer study incorporates themes from Genetic predisposition, Carcinogenesis, Adenocarcinoma, Lung and Risk factor.

Hongbing Shen has included themes like Genetic correlation, Transcriptome, Genetic risk, Meta-analysis and Genetic heterogeneity in his Genome-wide association study study. Single-nucleotide polymorphism, Genetics and Gene are the areas that his Genetic association study falls under. The Oncology study which covers Mendelian randomization that intersects with Mendelian Randomization Analysis.

Between 2018 and 2021, his most popular works were:

  • Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. (700 citations)
  • Shared heritability and functional enrichment across six solid cancers (41 citations)
  • A cancer-testis non-coding RNA LIN28B-AS1 activates driver gene LIN28B by interacting with IGF2BP1 in lung adenocarcinoma (38 citations)

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

  • Gene
  • Cancer
  • Internal medicine

Hongbing Shen mainly investigates Internal medicine, Genome-wide association study, Oncology, Genetic association and Cancer. The various areas that Hongbing Shen examines in his Genome-wide association study study include Genetic correlation, Meta-analysis, Breast cancer, Colorectal cancer and Prostate cancer. Hongbing Shen studies Lung cancer which is a part of Oncology.

He's looking at Genetic association as part of his Genetics and Single-nucleotide polymorphism and Genetic association study. Particularly relevant to Lung cancer susceptibility is his body of work in Genetics. His Cancer study integrates concerns from other disciplines, such as Regulation of gene expression, CpG site and Cancer research.

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

Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China.

Zhiliang Hu;Zhiliang Hu;Ci Song;Chuanjun Xu;Guangfu Jin.
Science China-life Sciences (2020)

1120 Citations

Serum MicroRNA Signatures Identified in a Genome-Wide Serum MicroRNA Expression Profiling Predict Survival of Non–Small-Cell Lung Cancer

Zhibin Hu;Xi Chen;Yang Zhao;Tian Tian.
Journal of Clinical Oncology (2010)

905 Citations

Genetic variants of miRNA sequences and non-small cell lung cancer survival.

Zhibin Hu;Jiaping Chen;Tian Tian;Xiaoyi Zhou.
Journal of Clinical Investigation (2008)

767 Citations

Serum microRNA Profiles Serve as Novel Biomarkers for HBV Infection and Diagnosis of HBV-Positive Hepatocarcinoma

Li-Min Li;Zhi-Bin Hu;Zhen-Xian Zhou;Xi Chen.
Cancer Research (2010)

521 Citations

Common genetic variants in pre‐microRNAs were associated with increased risk of breast cancer in Chinese women

Zhibin Hu;Jie Liang;Zhanwei Wang;Tian Tian.
Human Mutation (2009)

496 Citations

Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

Robert Carreras-Torres;Mattias Johansson;Philip C. Haycock;Kaitlin H. Wade.
PLOS ONE (2017)

446 Citations

Genome-wide association study identifies 1p36.22 as a new susceptibility locus for hepatocellular carcinoma in chronic hepatitis B virus carriers

Hongxing Zhang;Yun Zhai;Zhibin Hu;Chen Wu.
Nature Genetics (2010)

376 Citations

A Functional Genetic Variant in microRNA-196a2 Is Associated with Increased Susceptibility of Lung Cancer in Chinese

Tian Tian;Yongqian Shu;Jiaping Chen;Zhibin Hu.
Cancer Epidemiology, Biomarkers & Prevention (2009)

368 Citations

A genome-wide association study identifies two new lung cancer susceptibility loci at 13q12.12 and 22q12.2 in Han Chinese

Zhibin Hu;Chen Wu;Yongyong Shi;Huan Guo.
Nature Genetics (2011)

362 Citations

Identification of ten serum microRNAs from a genome‐wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis

Xi Chen;Zhibin Hu;Wenjing Wang;Yi Ba.
International Journal of Cancer (2012)

319 Citations

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