Amir Khan

3.9k citations
105 papers · 1.6k · h-index 22

Impact in

Papers in

Amir Khan

100 papers receiving 1.5k citations

Peers

Amir Khan
Comparison fields: 5 of 121
  • Pulmonary and Respiratory Medicine 383
  • Pathology and Forensic Medicine 190
  • Emergency Medical Services 56
  • Obstetrics and Gynecology 57
  • Surgery 331
Replace Yahya Daoud with:
Yahya Daoud United States
P.J.R. Shah United Kingdom
Gianni Cappelli Italy
David Modai Israel
Michael Kaye Canada
I‐Kuan Wang Taiwan
Atul Gupta United Kingdom
Leila Antonângelo Brazil
Peter Small United Kingdom
Angelo Santoliquido Italy
Amir Khan relative to Yahya Daoud United States Yahya Daoud's profile →
Citations per field
00.5×4.7×
Yahya Daoud · 1×
Citations per year

Countries citing papers authored by Amir Khan

Since Specialization
Citations

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

Fields of papers citing papers by Amir Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006135
2 200598
3 200694
4 201693
5 201549
6 201548
7 200547
8 199746
9 200540
10 199938
11 200637
12 201536
13 200731
14 201531
15 201929
16 201529
17 201127
18 200226
19 200526
20 199823

About Amir Khan

Amir Khan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Physiology and Orthopedics and Sports Medicine, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (10 papers), Tracheal and airway disorders (7 papers), Smoking Behavior and Cessation (6 papers), Neuroscience of respiration and sleep (6 papers), Respiratory viral infections research (4 papers), Tendon Structure and Treatment (4 papers), Asthma and respiratory diseases (4 papers) and Shoulder Injury and Treatment (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (383 citations), Pathology and Forensic Medicine (190 citations), Emergency Medical Services (56 citations), Obstetrics and Gynecology (57 citations) and Surgery (331 citations). Amir Khan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Federico P. Girardi, Giuseppe N. Colasurdo, Kevin P. Lally, Frank P. Cammisa, Thomas F. Northrup, Claudia Pedroza, Van Thi Thanh Truong, Gary S. Fanton, Hector Mendez‐Figueroa and Suneet P. Chauhan. Their work appears in journals such as Pediatric Pulmonology, CHEST Journal, Pediatric Research, Journal of Perinatology and Sports Medicine and Arthroscopy Review.

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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