H-Index & Metrics

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 3,257 114 World Ranking 8184 National Ranking 72

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Surgery
  • Artificial intelligence

Ashish Khanna focuses on Internal medicine, Artificial intelligence, Intensive care unit, Angiotensin II and Endocrinology. Ashish Khanna frequently studies issues relating to Ex vivo and Internal medicine. He has included themes like Machine learning, Parkinson's disease and Pattern recognition in his Artificial intelligence study.

Ashish Khanna has researched Intensive care unit in several fields, including Cohort study, Sepsis, Mechanical ventilation, Retrospective cohort study and Intensive care. His work deals with themes such as 2019-20 coronavirus outbreak, Virology and Pneumonia, which intersect with Angiotensin II. His work in the fields of Endocrinology, such as Dipeptidyl peptidase-4 and Metabolite, intersects with other areas such as Saxagliptin.

His most cited work include:

  • Discovery and Preclinical Profile of Saxagliptin (BMS-477118): A Highly Potent, Long-Acting, Orally Active Dipeptidyl Peptidase IV Inhibitor for the Treatment of Type 2 Diabetes (497 citations)
  • Angiotensin II for the Treatment of Vasodilatory Shock (301 citations)
  • In vitro characterization and pharmacokinetics of dapagliflozin (BMS-512148), a potent sodium-glucose cotransporter type II inhibitor, in animals and humans. (117 citations)

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

His scientific interests lie mostly in Internal medicine, Anesthesia, Artificial intelligence, Surgery and Intensive care medicine. He interconnects Endocrinology, Noncardiac surgery and Cardiology in the investigation of issues within Internal medicine. His work on Hypoxemia and Anesthesiology as part of general Anesthesia research is frequently linked to Mean arterial pressure, thereby connecting diverse disciplines of science.

The various areas that Ashish Khanna examines in his Artificial intelligence study include Machine learning and Pattern recognition. His research investigates the connection with Blood pressure and areas like Shock which intersect with concerns in Septic shock. His Angiotensin II study integrates concerns from other disciplines, such as Renin–angiotensin system and Vasodilation.

He most often published in these fields:

  • Internal medicine (17.76%)
  • Anesthesia (17.21%)
  • Artificial intelligence (14.21%)

What were the highlights of his more recent work (between 2020-2021)?

  • Anesthesia (17.21%)
  • Internal medicine (17.76%)
  • Artificial intelligence (14.21%)

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

Ashish Khanna spends much of his time researching Anesthesia, Internal medicine, Artificial intelligence, Emergency medicine and Anesthesiology. His studies deal with areas such as Angiotensin II, Depression, Critically ill and Opioid as well as Anesthesia. His Angiotensin II research integrates issues from Vasoplegia and Shock.

His Internal medicine study deals with Cardiology intersecting with Noncardiac surgery. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition. The Anesthesiology study which covers MEDLINE that intersects with Collegiality.

Between 2020 and 2021, his most popular works were:

  • Aspirin Use Is Associated With Decreased Mechanical Ventilation, Intensive Care Unit Admission, and In-Hospital Mortality in Hospitalized Patients With Coronavirus Disease 2019 (43 citations)
  • Aspirin Use Is Associated With Decreased Mechanical Ventilation, Intensive Care Unit Admission, and In-Hospital Mortality in Hospitalized Patients With Coronavirus Disease 2019 (43 citations)
  • Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients : the DecubICUs study (9 citations)

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

  • Internal medicine
  • Surgery
  • Artificial intelligence

Anesthesia, Confidence interval, Intensive care medicine, Intensive care unit and Mechanical ventilation are his primary areas of study. His Anesthesia study incorporates themes from Angiotensin II, Shock and Critically ill. His study focuses on the intersection of Angiotensin II and fields such as Cardiopulmonary bypass with connections in the field of Blood pressure.

His Confidence interval study improves the overall literature in Internal medicine. The Intensive care medicine study combines topics in areas such as Microcirculation and Resuscitation. His Intensive care unit study integrates concerns from other disciplines, such as Odds ratio 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.

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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