What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Surgery
His primary areas of investigation include Nuclear medicine, Radiology, Magnetic resonance imaging, Osteoporosis and Bone mineral.
His Nuclear medicine research is multidisciplinary, relying on both Surgery, Radiation therapy, Central nervous system disease, Predictive value of tests and Receiver operating characteristic.
Ying Lu works mostly in the field of Radiology, limiting it down to topics relating to Retrospective cohort study and, in certain cases, Rectum, as a part of the same area of interest.
His Magnetic resonance imaging study combines topics in areas such as Osteoarthritis, Cartilage, Meta-analysis, Biopsy and Prostate cancer.
His studies in Osteoporosis integrate themes in fields like Cortical bone and Anatomy.
His research integrates issues of Bone density, Calcaneus, Densitometry and Biomedical engineering in his study of Bone mineral.
His most cited work include:
- Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques (1100 citations)
- Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis (1009 citations)
- Noninvasive assessment of bone mineral and structure: state of the art. (813 citations)
What are the main themes of his work throughout his whole career to date?
Ying Lu mostly deals with Radiology, Nuclear medicine, Internal medicine, Magnetic resonance imaging and Osteoporosis.
Ying Lu has researched Radiology in several fields, including Breast cancer and Retrospective cohort study.
His Nuclear medicine research incorporates elements of Voxel and Surgery.
His Magnetic resonance imaging research incorporates themes from Cancer, Prostate cancer and Pathology.
His works in Bone mineral, Bone density, Quantitative computed tomography, Hip fracture and Femoral neck are all subjects of inquiry into Osteoporosis.
Ying Lu has included themes like Calcaneus, Bone disease and Densitometry in his Bone mineral study.
He most often published in these fields:
- Radiology (21.60%)
- Nuclear medicine (17.07%)
- Internal medicine (15.20%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (15.20%)
- Hazard ratio (2.13%)
- Statistics (10.67%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internal medicine, Hazard ratio, Statistics, Clinical trial and Sample size determination.
Ying Lu works mostly in the field of Internal medicine, limiting it down to concerns involving Oncology and, occasionally, Docetaxel.
Ying Lu studied Statistics and Inference that intersect with Statistical inference.
His Clinical trial study incorporates themes from Medical physics, Combination therapy and Intensive care medicine.
His Sample size determination research integrates issues from Statistical hypothesis testing and Randomized controlled trial.
Ying Lu usually deals with Tocilizumab and limits it to topics linked to Gastroenterology and Retrospective cohort study.
Between 2017 and 2021, his most popular works were:
- Trial of Prazosin for Post-Traumatic Stress Disorder in Military Veterans (107 citations)
- Optimizing Clinical Use of Biologics in Orthopaedic Surgery: Consensus Recommendations From the 2018 AAOS/NIH U-13 Conference. (63 citations)
- Association of paternal age with perinatal outcomes between 2007 and 2016 in the United States: Population based cohort study (59 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Surgery
His scientific interests lie mostly in Hazard ratio, Internal medicine, Applied mathematics, Cohort and Polynomial.
His biological study spans a wide range of topics, including Trial Eligibility Criteria, Pathfinder, Dementia and Cataract surgery.
In his work, Retrospective cohort study is strongly intertwined with Comorbidity, which is a subfield of Cataract surgery.
His Single Center, Prostatectomy and Androgen deprivation therapy study in the realm of Internal medicine interacts with subjects such as Severe acute respiratory syndrome coronavirus 2 and Febrile neutropenia.
Ying Lu performs integrative study on Eye care and Confidence interval in his works.
His study looks at the relationship between Confidence interval and topics such as Sample size determination, which overlap with Inference.
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