What is he best known for?
The fields of study he is best known for:
- Acquired immunodeficiency syndrome
- Internal medicine
- Gene
His main research concerns Immunology, Virology, Acquired immunodeficiency syndrome, Viral load and Lentivirus.
Christopher D. Pilcher has included themes like Blood plasma and Sexual transmission in his Immunology study.
His research investigates the connection with Virology and areas like Antibody which intersect with concerns in Nucleic acid amplification technique, Nucleic acid and Contact tracing.
The various areas that Christopher D. Pilcher examines in his Acquired immunodeficiency syndrome study include Viral disease and Medical physics.
As a part of the same scientific family, Christopher D. Pilcher mostly works in the field of Viral load, focusing on Chronic infection and, on occasion, Mutation, Genotyping and Drug resistance.
His research integrates issues of Internal medicine and Sida in his study of Lentivirus.
His most cited work include:
- Brief but efficient: acute HIV infection and the sexual transmission of HIV. (603 citations)
- Triple-Nucleoside Regimens versus Efavirenz-Containing Regimens for the Initial Treatment of HIV-1 Infection (458 citations)
- Detection of acute infections during HIV testing in North Carolina. (325 citations)
What are the main themes of his work throughout his whole career to date?
Christopher D. Pilcher mainly investigates Immunology, Virology, Viral load, Acquired immunodeficiency syndrome and Internal medicine.
His Immunology study integrates concerns from other disciplines, such as Epidemiology and Sexual transmission.
His Virology research also works with subjects such as
- Antibody and related Antigen,
- DNA that intertwine with fields like Viral replication.
The concepts of his Viral load study are interwoven with issues in RNA and Viral shedding.
His research in Acquired immunodeficiency syndrome intersects with topics in Viral disease and Transmission.
In his research on the topic of Internal medicine, Zidovudine is strongly related with Efavirenz.
He most often published in these fields:
- Immunology (38.97%)
- Virology (33.82%)
- Viral load (23.53%)
What were the highlights of his more recent work (between 2017-2021)?
- Incidence (11.03%)
- Virology (33.82%)
- Pediatrics (4.41%)
In recent papers he was focusing on the following fields of study:
Incidence, Virology, Pediatrics, Transcriptome and Hiv incidence are his primary areas of study.
His work in Incidence covers topics such as Reproducibility which are related to areas like Veterinary medicine.
His Virology research incorporates themes from Antibody and Antiretroviral treatment.
The study incorporates disciplines such as Chronic infection and Gene in addition to Antibody.
His Hiv incidence research is multidisciplinary, incorporating perspectives in Pathogen, Pol genes, Blood draw, Mutation detection and Drug resistance.
Within one scientific family, Christopher D. Pilcher focuses on topics pertaining to Transmission under Seroconversion, and may sometimes address concerns connected to Acquired immunodeficiency syndrome, Recombinant DNA, Hiv 1 p24, Adverse effect and Confidence interval.
Between 2017 and 2021, his most popular works were:
- RAPID antiretroviral therapy: high virologic suppression rates with immediate antiretroviral therapy initiation in a vulnerable urban clinic population (33 citations)
- Group Testing for Severe Acute Respiratory Syndrome- Coronavirus 2 to Enable Rapid Scale-up of Testing and Real-Time Surveillance of Incidence. (18 citations)
- A generalizable method for estimating duration of HIV infections using clinical testing history and HIV test results. (12 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Acquired immunodeficiency syndrome
- Gene
His primary scientific interests are in Pediatrics, Estimation, Machine learning, Test and Interval.
His biological study spans a wide range of topics, including Hiv test, Hiv testing, Viral suppression and Retrospective analysis.
Among his Estimation studies, you can observe a synthesis of other disciplines of science such as Artificial intelligence, Infection time, Research studies, Epidemiology and Point estimation.
His Machine learning research incorporates elements of Diagnostic test and Open source.
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