NEWS
Find a Professional: Explore Experts Across 197 Disciplines in 221 Countries!
Just Updated: Compare Your Institution (Live Data)
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025 (Updated Today)
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
Login
Register & Pricing
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
For Students
local_fire_department
Country Reports
person
Find a Professional
Mahdad Noursadeghi
University College London - London / United Kingdom
Others
AD Scientific Index ID: 1336091
Registration, Add Profile,
Premium Membership
Get Your Global Impact Certificate
University College London
Ranking &
Analysis
Job
Experiences
Education
Information
Published Books
Book Chapters
Articles
Presentations
Lessons
Projects
Co-Authors
Subject Leaders
Editorship, Referee &
Scientific Board
Patents /
Designs
Academic Grants
& Awards
Artistic
Activities
Certificate / Course
/ Trainings
Association &
Society Memberships
Contact, Office
& Social Media
person_outline
Mahdad Noursadeghi's MOST POPULAR ARTICLES
1-)
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score bmj 370, 2020
2-)
SARS-CoV-2 Omicron-B. 1.1. 529 leads to widespread escape from neutralizing antibody responses Cell 185 (3), 467-484. e15, 2022
3-)
Mapping the human genetic architecture of COVID-19 Nature 600 (7889), 472-477, 2021
4-)
HIV-1 capsid-cyclophilin interactions determine nuclear import pathway, integration targeting and replication efficiency PLoS pathogens 7 (12), e1002439, 2011
5-)
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study The lancet 395 (10238), 1715-1725, 2020
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept