Nagwa Khilla

11 papers receiving 836 citations

Hit Papers

Evinacumab for Homozygous Familial Hypercholesterolemia202020262022202420202020100200300400

Peers

Nagwa Khilla
Comparison fields: 5 of 46
  • Surgery 610
  • Cardiology and Cardiovascular Medicine 474
  • Endocrinology, Diabetes and Metabolism 314
  • Cancer Research 248
  • Economics and Econometrics 110
Replace Shazia Ali with:
Shazia Ali United States
Kuo‐Chen Chan United States
Pia R. Kamstrup Denmark
Marta Futema United Kingdom
Julian C. van Capelleveen Netherlands
Sigrid W. Fouchier Netherlands
Ros Whittall United Kingdom
Hendrik du Toit Theron United States
Robert A. Hegele Canada
KaWah Li United Kingdom
Nagwa Khilla relative to Shazia Ali United States Shazia Ali's profile →
Citations per field
00.5×1.5×
Shazia Ali · 1×
Citations per year

Countries citing papers authored by Nagwa Khilla

Since Specialization
Citations

This map shows the geographic impact of Nagwa Khilla'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 Nagwa Khilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagwa Khilla more than expected).

Fields of papers citing papers by Nagwa Khilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nagwa Khilla. 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 Nagwa Khilla. The network helps show where Nagwa Khilla may publish in the future.

Co-authorship network of co-authors of Nagwa Khilla

This figure shows the co-authorship network connecting the top 25 collaborators of Nagwa Khilla. A scholar is included among the top collaborators of Nagwa Khilla 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 Nagwa Khilla. Nagwa Khilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 15
2 21
3 1
4 1
5 2
6
Evinacumab for Homozygous Familial Hypercholesterolemiabreakdown →
470
7 119
8 2
9 2
10 1
11
Evinacumab in Patients with Refractory Hypercholesterolemiabreakdown →
215

About Nagwa Khilla

Nagwa Khilla is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Surgery, having authored 11 papers that have together received 849 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Lipid metabolism and disorders (8 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (474 citations), Endocrinology, Diabetes and Metabolism (314 citations) and Cancer Research (248 citations). Nagwa Khilla has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Robert S. Rosenson, Shazia Ali, Robert Pordy, Daniel Gaudet, Poulabi Banerjee, Paolo Rubba, John J.P. Kastelein, Kuo‐Chen Chan, Laurens F. Reeskamp and Frederick J. Raal. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

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.

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