What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Climate change
- Pathology
His primary areas of investigation include Climate change, Heat related mortality, Public health, Distributed lag and East Asia.
The Climate change study combines topics in areas such as Vulnerability model and Environmental resource management.
The various areas that Yasushi Honda examines in his Heat related mortality study include Meta-analysis, Excess mortality and Greenhouse effect.
His Public health study integrates concerns from other disciplines, such as Co benefits and Natural resource economics.
His study looks at the relationship between Distributed lag and topics such as Multivariate statistics, which overlap with Percentile, Acclimatization, Bivariate analysis and Relative risk.
As a member of one scientific family, Yasushi Honda mostly works in the field of Percentile, focusing on Poisson regression and, on occasion, Extreme Cold and Environmental protection.
His most cited work include:
- Mortality risk attributable to high and low ambient temperature: a multicountry observational study (875 citations)
- Flood risk and climate change: global and regional perspectives (531 citations)
- Ambient Particulate Air Pollution and Daily Mortality in 652 Cities (301 citations)
What are the main themes of his work throughout his whole career to date?
Yasushi Honda mainly investigates Climate change, Environmental health, Anesthesia, Confidence interval and Internal medicine.
His Climate change research incorporates elements of Public health, Distributed lag, Natural resource economics and Environmental resource management.
His biological study spans a wide range of topics, including Percentile, Risk of mortality, Multivariate statistics and Poisson regression.
His work in Environmental health addresses subjects such as Air pollution, which are connected to disciplines such as Particulates and Pollutant.
In his study, Thermoregulation is strongly linked to Hyperthermia, which falls under the umbrella field of Anesthesia.
Yasushi Honda has included themes like Logistic regression and Meteorology in his Confidence interval study.
He most often published in these fields:
- Climate change (25.94%)
- Environmental health (12.97%)
- Anesthesia (10.04%)
What were the highlights of his more recent work (between 2017-2021)?
- Climate change (25.94%)
- Environmental health (12.97%)
- Relative risk (6.69%)
In recent papers he was focusing on the following fields of study:
Yasushi Honda focuses on Climate change, Environmental health, Relative risk, Distributed lag and Multi country.
His Climate change course of study focuses on Natural resource economics and Economic impacts of climate change.
His Environmental health study combines topics in areas such as Air pollution, Particulates, Pollutant and Ozone.
The concepts of his Relative risk study are interwoven with issues in Percentile, Socioeconomic status and Extreme heat.
He frequently studies issues relating to Regression and Distributed lag.
His Multi country research spans across into fields like Temperature a, Diurnal temperature variation and Multivariate statistics.
Between 2017 and 2021, his most popular works were:
- Ambient Particulate Air Pollution and Daily Mortality in 652 Cities (301 citations)
- Quantifying excess deaths related to heatwaves under climate change scenarios : A multicountry time series modelling study (91 citations)
- A multi-country analysis on potential adaptive mechanisms to cold and heat in a changing climate. (56 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Climate change
- Pathology
His scientific interests lie mostly in Climate change, Environmental health, Distributed lag, Multi country and Relative risk.
His study on Global warming is often connected to Distribution as part of broader study in Climate change.
His research investigates the connection with Environmental health and areas like Vulnerability which intersect with concerns in Heat related mortality, Socioeconomic status and Mean radiant temperature.
The study incorporates disciplines such as Heat wave, Cold spell, Total population and Multivariate statistics in addition to Distributed lag.
The concepts of his Multivariate statistics study are interwoven with issues in Longitudinal study, Regression, Blood viscosity, Diurnal temperature variation and Risk factor.
His work deals with themes such as Nitrogen dioxide, Poisson regression, Mortality data and Extreme heat, which intersect with Relative risk.
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.
