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
Medicine D-index 81 Citations 35,420 450 World Ranking 11197 National Ranking 441

Overview

What is he best known for?

The fields of study Hude Quan is best known for:

  • Statistics
  • Cancer
  • Epidemiology

Many of his studies involve connections with topics such as Confidence interval, Comorbidity, Disease, Predictive value and Charlson comorbidity index and Internal medicine. ICD-10 combines with fields such as Psychiatry and Diagnosis code in his investigation. Hude Quan applies his multidisciplinary studies on Psychiatry and ICD-10 in his research. Hude Quan conducted interdisciplinary study in his works that combined Environmental health and Public health. Hude Quan incorporates Public health and Environmental health in his research. Many of his studies on Population apply to Demography as well. His Demography study frequently draws connections to adjacent fields such as Population. Hude Quan carries out multidisciplinary research, doing studies in Statistics and Coding (social sciences). Hude Quan merges Coding (social sciences) with Statistics in his research.

His most cited work include:

  • Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data (7403 citations)
  • Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries (3382 citations)
  • New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality (1637 citations)

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

Hude Quan applies the principles of Confidence interval, Odds ratio, Logistic regression, Cohort, Heart failure, Comorbidity and Myocardial infarction in his work under Internal medicine. His study connects Diagnosis code and Environmental health. His research links Environmental health with Diagnosis code. His study connects Demography and Population. His Demography study frequently links to adjacent areas such as Population. In his work, he performs multidisciplinary research in Health care and Economic growth. In his works, he undertakes multidisciplinary study on Economic growth and Health care. Nursing and Family medicine are two areas of study in which he engages in interdisciplinary research. Hude Quan connects Family medicine with Nursing in his study.

Hude Quan most often published in these fields:

  • Internal medicine (70.14%)
  • Environmental health (41.67%)
  • Population (41.32%)

What were the highlights of his more recent work (between 2019-2022)?

  • Internal medicine (56.00%)
  • Nursing (40.00%)
  • Health care (36.00%)

In recent works Hude Quan was focusing on the following fields of study:

In his papers, Hude Quan integrates diverse fields, such as Statistics, Data collection and Coding (social sciences). He integrates many fields in his works, including Coding (social sciences) and Statistics. His Intensive care medicine study frequently involves adjacent topics like Intensive care unit and Intensive care. In most of his Intensive care studies, his work intersects topics such as Intensive care medicine. Among his research on Cohort study, you can see a combination of other fields of science like Retrospective cohort study and Cohort. He merges Cohort with Cohort study in his research. Internal medicine and Disease are commonly linked in his work. Hude Quan connects Nursing with Family medicine in his study. He incorporates Family medicine and Medical education in his studies.

Between 2019 and 2022, his most popular works were:

  • Incidence of Celiac Disease Is Increasing Over Time: A Systematic Review and Meta-analysis (151 citations)
  • Nonpharmacologic Interventions for Reducing Blood Pressure in Adults With Prehypertension to Established Hypertension (41 citations)
  • Inequality in the health services utilization in rural and urban china (26 citations)

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

  • Data quality
  • Information quality
  • Statistics

Much of his study explores Statistics relationship to Coding (social sciences) and Data collection. He brings together Coding (social sciences) and Statistics to produce work in his papers. Many of his studies on Internal medicine apply to Meta-analysis as well. His Nursing study frequently draws connections to other fields, such as ICD-10. He conducts interdisciplinary study in the fields of Disease and Pathology through his research. Many of his studies on Pathology apply to Guideline as well. His Incidence (geometry) study frequently draws connections between adjacent fields such as Optics. Optics and Incidence (geometry) are commonly linked in his work. While working in this field, he studies both Pediatrics and Emergency medicine.

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

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Hude Quan;Vijaya Sundararajan;Patricia Halfon;Andrew Fong.
Medical Care (2005)

7910 Citations

Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries

Hude Quan;Bing Li;Chantal M. Couris;Kiyohide Fushimi.
American Journal of Epidemiology (2011)

3486 Citations

New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality

Vijaya Sundararajan;Toni Henderson;Catherine L. Perry;Amanda Muggivan.
Journal of Clinical Epidemiology (2004)

1830 Citations

A modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data.

Carl van Walraven;Peter C. Austin;Alison Jennings;Hude Quan.
Medical Care (2009)

1397 Citations

Assessing Validity of ICD-9-CM and ICD-10 Administrative Data in Recording Clinical Conditions in a Unique Dually Coded Database

Hude Quan;Bing Li;L Duncan Saunders;Gerry A Parsons.
Health Services Research (2008)

726 Citations

Dealing with missing data in a multi-question depression scale: a comparison of imputation methods

Fiona M Shrive;Fiona M Shrive;Heather Stuart;Heather Stuart;Hude Quan;Hude Quan;William A Ghali.
BMC Medical Research Methodology (2006)

700 Citations

Exploring physician specialist response rates to web-based surveys

Ceara Tess Cunningham;Hude Quan;Brenda R. Hemmelgarn;Tom W. Noseworthy.
BMC Medical Research Methodology (2015)

695 Citations

Validity of information on comorbidity derived rom ICD-9-CCM administrative data.

Hude Quan;Gerry A Parsons;William A Ghali.
Medical Care (2002)

659 Citations

Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data.

Danielle A Southern;Hude Quan;William A Ghali.
Medical Care (2004)

620 Citations

Adapting the charlson comorbidity index for use in patients with ESRD

Brenda R Hemmelgarn;Braden J Manns;Hude Quan;William A Ghali.
American Journal of Kidney Diseases (2003)

484 Citations

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