Khady N. Fall

32 papers receiving 453 citations

Khady N. Fall's Hit Papers

Intravascular Ultrasound–Derived Calcium Score to Predict Stent Expansion in Severely Calcified Lesions 2021 · 132 citations
1320+1+3Years since publication4080120

Peers

Khady N. Fall
Comparison fields: 5 of 25
  • Surgery 422
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 42
  • Nephrology 6
  • Cardiology and Cardiovascular Medicine 8
Replace Tara Neleman with:
Tara Neleman Netherlands
Dayang Chai China
Giuseppe Mercone Italy
Omeed Neghabat Denmark
Eline Montauban van Swijndregt Netherlands
Deborah Shorrock United States
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Hiroyuki Omori Japan
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Citations per year

Countries citing papers authored by Khady N. Fall

Since Specialization
Citations

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

Fields of papers citing papers by Khady N. Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khady N. Fall. 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 Khady N. Fall. The network helps show where Khady N. Fall may publish in the future.

Co-authors

The 25 scholars most cited alongside Khady N. Fall, 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 Khady N. Fall Line = papers co-authored together Khady N. Fall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intravascular Ultrasound–Derived Calcium Score to Predict Stent Expansion in Severely Calcified Lesions
Hit paper breakdown →
2021132
2 202060
3 201753
4 201725
5 202225
6 202322
7 201621
8 201820
9 201816
10 202314
11 202210
12 20189
13
Imaging and Physiology to Guide Venous Graft Interventions Without Contrast Administration in Advanced Renal Failure.
20177
14 20247
15 20215
16 20164
17 20184
18 20194
19 20143
20 20163

About Khady N. Fall

Khady N. Fall is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services, Nephrology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 464 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (34 papers), Cardiac Imaging and Diagnostics (1 paper), Central Venous Catheters and Hemodialysis (1 paper), Cardiovascular Issues in Pregnancy (1 paper), Radiation Dose and Imaging (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Surgery (422 citations), Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (42 citations), Nephrology (6 citations) and Cardiology and Cardiovascular Medicine (8 citations). Khady N. Fall has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Akiko Maehara, Gary S. Mintz, Ziad A. Ali, Ajay Jayant Kirtane, Jeffrey Moses, Mitsuaki Matsumura, Michael B. Collins, Dimitri Karmpaliotis, Martin Leon and Tamim M. Nazif. Their work appears in journals such as JACC: Cardiovascular Interventions, EuroIntervention, Journal of the American College of Cardiology, Catheterization and Cardiovascular Interventions and Circulation Cardiovascular Interventions.

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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