U. Allahwala

873 citations
53 papers · 489 · h-index 14

Impact in

Papers in

U. Allahwala

49 papers receiving 480 citations

Peers

U. Allahwala
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 170
  • Developmental Neuroscience 23
  • Surgery 178
  • Pathology and Forensic Medicine 64
  • Radiology, Nuclear Medicine and Imaging 77
Replace Milorad Tešić with:
Milorad Tešić Serbia
Seo Na Hong South Korea
Walter Villela de Andrade Vicente Brazil
Berent Dışçıgıl Türkiye
Linrui Guo Canada
José Manuel García‐Ruiz Spain
Marek Deja Poland
Kinzo Ueda Japan
Nawzad Saleh Sweden
de Albuquerque Brazil
U. Allahwala relative to Milorad Tešić Serbia Milorad Tešić's profile →
Citations per field
00.5×2.9×
Milorad Tešić · 1×
Citations per year

Countries citing papers authored by U. Allahwala

Since Specialization
Citations

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

Fields of papers citing papers by U. Allahwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 201535
3 202030
4 201930
5 202028
6 202019
7 202018
8 201917
9 202017
10 202016
11 202316
12 202016
13 202016
14 201314
15 202313
16 201513
17 201912
18 20179
19 20199
20 20159

About U. Allahwala

U. Allahwala is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 489 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (25 papers), Cardiac Imaging and Diagnostics (16 papers), Acute Myocardial Infarction Research (13 papers), Cardiac Valve Diseases and Treatments (7 papers), Cardiac Ischemia and Reperfusion (5 papers), Obstructive Sleep Apnea Research (3 papers), COVID-19 and healthcare impacts (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (170 citations), Developmental Neuroscience (23 citations), Surgery (178 citations), Pathology and Forensic Medicine (64 citations) and Radiology, Nuclear Medicine and Imaging (77 citations). U. Allahwala has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ravinay Bhindi, James Weaver, Levon M. Khachigian, Michael P. Ward, Anisyah Ridiandries, Anthony C. Dona, Gemma A. Figtree, Daniel Han, Michael R. Ward and Stephen N. Hunyor. Their work appears in journals such as The American Journal of Cardiology, American Heart Journal, Catheterization and Cardiovascular Interventions, Journal of Nuclear Cardiology 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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