Faiza Khan

32 papers receiving 651 citations

Hit Papers

The current state of animal models in research: A review 2019 · 257 citations
2570+2+4Years since publication50100150200250

Peers

Faiza Khan
Comparison fields: 5 of 133
  • Cardiology and Cardiovascular Medicine 222
  • Internal Medicine 30
  • Pulmonary and Respiratory Medicine 196
  • Surgery 189
  • Statistics, Probability and Uncertainty 26
Replace Ajita Naik with:
Ajita Naik United States
Mehmet Fatih Can Türkiye
Bruce Searles United States
Yasuhiro Morita Japan
Kim W Ah-See United Kingdom
Fumihiro Yamasawa Japan
Talal Almas Ireland
Michael A. Catalano United States
Bülent Oran Türkiye
Antonio Celentano Australia
Faiza Khan relative to Ajita Naik United States Ajita Naik's profile →
Citations per field
00.5×7.5×
Ajita Naik · 1×
Citations per year

Countries citing papers authored by Faiza Khan

Since Specialization
Citations

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

Fields of papers citing papers by Faiza Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Faiza Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faiza Khan Line = papers co-authored together Faiza Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The current state of animal models in research: A review
Hit paper breakdown →
2019257
2 201952
3 202043
4 201941
5 201827
6 202026
7 201925
8 202022
9 201922
10 202018
11 201914
12 202013
13 201213
14 201813
15 202012
16 20199
17 20199
18 20218
19 20237
20 20197

About Faiza Khan

Faiza Khan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 661 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Aortic Disease and Treatment Approaches (9 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Infective Endocarditis Diagnosis and Management (5 papers), Cardiac and Coronary Surgery Techniques (5 papers), Aortic aneurysm repair treatments (4 papers), Cardiac Imaging and Diagnostics (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (222 citations), Internal Medicine (30 citations), Pulmonary and Respiratory Medicine (196 citations), Surgery (189 citations) and Statistics, Probability and Uncertainty (26 citations). Faiza Khan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mario Gaudino, Leonard N. Girardi, Irbaz Hameed, Ajita Naik, N. Bryce Robinson, Mohamed Rahouma, Katherine Krieger, Michelle Chang, Karl H. Krieger and Michelle Demetres. Their work appears in journals such as International Journal of Surgery, Journal of Thoracic and Cardiovascular Surgery, International Journal of Cardiology, The Annals of Thoracic Surgery and Journal of the American Heart Association.

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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