Hafsa Abdulla is a scholar working on Neurology, Pharmacology and Infectious Diseases.
According to data from OpenAlex, Hafsa Abdulla has authored 4 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Neurology, 2 papers in Pharmacology and 1 paper in Infectious Diseases. Recurrent topics in Hafsa Abdulla's work include Autoimmune Neurological Disorders and Treatments (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Cardiac Arrest and Resuscitation (1 paper). Hafsa Abdulla is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Cardiac Arrest and Resuscitation (1 paper). Hafsa Abdulla collaborates with scholars based in United States. Hafsa Abdulla's co-authors include Andrew J Failla, Zohra Chaudhry, Indira Brar, Abigail Entz, Mayur Ramesh, Carina Dagher, Amit Vahia, Zachary Demertzis, Charles Hammond and Zachary R. Hanna and has published in prestigious journals such as JAMA Network Open, Acta Neurologica Belgica and Bahrain Medical Bulletin.
In The Last Decade
Hafsa Abdulla
4 papers
receiving
446 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Clinical Characteristics and Morbidity Associated With Coronavirus Disease 2019 in a Series of Patients in Metropolitan Detroit
2020456 citationsGeehan Suleyman, Raef Fadel et al.JAMA Network Openprofile →
Citations per year, relative to Hafsa Abdulla Hafsa Abdulla (= 1×)
peers
Odaliz Abreu Lanfranco
Countries citing papers authored by Hafsa Abdulla
Since
Specialization
Citations
This map shows the geographic impact of Hafsa Abdulla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hafsa Abdulla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hafsa Abdulla more than expected).
This network shows the impact of papers produced by Hafsa Abdulla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hafsa Abdulla. The network helps show where Hafsa Abdulla may publish in the future.
Co-authorship network of co-authors of Hafsa Abdulla
This figure shows the co-authorship network connecting the top 25 collaborators of Hafsa Abdulla.
A scholar is included among the top collaborators of Hafsa Abdulla based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Hafsa Abdulla. Hafsa Abdulla is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Suleyman, Geehan, Raef Fadel, Kelly Malette, et al.. (2020). Clinical Characteristics and Morbidity Associated With Coronavirus Disease 2019 in a Series of Patients in Metropolitan Detroit. JAMA Network Open. 3(6). e2012270–e2012270.456 indexed citations breakdown →
3.
Lenhart, Adrienne, et al.. (2019). Correlation Between Bilirubinemia and Acute Kidney Injury in Patients with Cirrhosis. 34(2).1 indexed citations
4.
Abdulla, Hafsa, et al.. (2016). Jeavons Syndrome. Bahrain Medical Bulletin. 38(2). 105–107.3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.