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 89 Citations 22,602 256 World Ranking 6208 National Ranking 3447

Overview

What is she best known for?

The fields of study she is best known for:

  • Internal medicine
  • Cancer
  • Biochemistry

Rashmi Sinha mainly investigates Odds ratio, Red meat, Internal medicine, Colorectal cancer and Risk factor. Her Odds ratio research integrates issues from Body mass index, Epidemiology, Case-control study and Environmental health. Her biological study spans a wide range of topics, including Rectum, Lung cancer and Physiology.

Her Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology and Endocrinology. Her Colorectal cancer study integrates concerns from other disciplines, such as Microbiome, Biotechnology, Heterocyclic amine and Metagenomics. Her Risk factor study combines topics from a wide range of disciplines, such as Sigmoidoscopy, Cancer, Adenocarcinoma and Absolute risk reduction.

Her most cited work include:

  • Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2043 citations)
  • Meat consumption and risk of colorectal cancer. (477 citations)
  • Analysis of 200 food items for benzo[a]pyrene and estimation of its intake in an epidemiologic study. (404 citations)

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

Internal medicine, Cancer, Odds ratio, Prospective cohort study and Colorectal cancer are her primary areas of study. The study incorporates disciplines such as Gastroenterology, Endocrinology, Red meat and Oncology in addition to Internal medicine. Her Red meat study necessitates a more in-depth grasp of Food science.

Her Odds ratio study also includes fields such as

  • Case-control study which is related to area like Physiology,
  • Obesity and Diabetes mellitus most often made with reference to Body mass index. Her research in Prospective cohort study intersects with topics in Gynecology, Cohort study, Cohort and Hazard ratio. Her biological study spans a wide range of topics, including Demography and Proportional hazards model.

She most often published in these fields:

  • Internal medicine (47.11%)
  • Cancer (24.32%)
  • Odds ratio (21.28%)

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

  • Internal medicine (47.11%)
  • Cancer (24.32%)
  • Hazard ratio (16.72%)

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

Rashmi Sinha spends much of her time researching Internal medicine, Cancer, Hazard ratio, Colorectal cancer and Prospective cohort study. Her study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology and Oncology. Her studies deal with areas such as Lung cancer, Proportional hazards model, Cohort study and Cohort as well as Hazard ratio.

Her work deals with themes such as Red meat, Surgery and White meat, which intersect with Cohort study. Her study on Colorectal cancer also encompasses disciplines like

  • Gut flora which is related to area like Physiology, Feces and Food science,
  • Microbiome, which have a strong connection to Metabolome, Metagenomics, Computational biology and Reproducibility. Rashmi Sinha works mostly in the field of Prospective cohort study, limiting it down to topics relating to Obesity and, in certain cases, Environmental health, as a part of the same area of interest.

Between 2015 and 2021, her most popular works were:

  • Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2043 citations)
  • QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science (385 citations)
  • Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer (232 citations)

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

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

2304 Citations

Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Evan Bolyen;Jai Ram Rideout;Matthew R. Dillon;Nicholas A. Bokulich.
Nature Biotechnology (2019)

2001 Citations

Meat consumption and risk of colorectal cancer.

Ann Chao;Michael J. Thun;Cari J. Connell;Marjorie L. McCullough.
JAMA (2005)

812 Citations

Meat Intake and Mortality A Prospective Study of Over Half a Million People

Rashmi Sinha;Amanda J. Cross;Barry I. Graubard;Michael F. Leitzmann.
JAMA Internal Medicine (2009)

696 Citations

Analysis of 200 food items for benzo[a]pyrene and estimation of its intake in an epidemiologic study.

N. Kazerouni;N. Kazerouni;R. Sinha;Che-Han Hsu;A. Greenberg.
Food and Chemical Toxicology (2001)

613 Citations

QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

Evan Bolyen;Jai Ram Rideout;Matthew R Dillon;Nicholas A Bokulich.
(2018)

586 Citations

Association of Coffee Drinking with Total and Cause-Specific Mortality

Neal D. Freedman;Christian C. Abnet;Albert R. Hollenbeck;Rashmi Sinha.
The New England Journal of Medicine (2012)

580 Citations

A prospective study of red and processed meat intake in relation to cancer risk.

Amanda J Cross;Michael F Leitzmann;Mitchell H Gail;Albert R Hollenbeck.
PLOS Medicine (2007)

518 Citations

A Large Prospective Study of Meat Consumption and Colorectal Cancer Risk: An Investigation of Potential Mechanisms Underlying this Association

Amanda J. Cross;Leah M. Ferrucci;Adam Risch;Barry I. Graubard.
Cancer Research (2010)

484 Citations

Trends in meat consumption in the USA

Carrie R. Daniel;Amanda J. Cross;Corinna Koebnick;Rashmi Sinha.
Public Health Nutrition (2011)

478 Citations

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