Mona Sarkiss

2.4k citations
49 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Mona Sarkiss

47 papers receiving 1.7k citations

Peers

Mona Sarkiss
Comparison fields: 5 of 103
  • Anesthesiology and Pain Medicine 236
  • Pulmonary and Respiratory Medicine 939
  • Microbiology 13
  • Otorhinolaryngology 59
  • Oncology 242
Replace L. Santambrogio with:
L. Santambrogio Italy
Jerzy Soja Poland
Marco Schiavon Italy
David Gelmont United States
A. Palleschi Italy
Motoo Nomura Japan
Min Ye China
Mostafa Fraig United States
Wojciech Dyszkiewicz Poland
Malika Balduyck France
Mona Sarkiss relative to L. Santambrogio Italy L. Santambrogio's profile →
Citations per field
00.5×
L. Santambrogio · 1×
Citations per year

Countries citing papers authored by Mona Sarkiss

Since Specialization
Citations

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

Fields of papers citing papers by Mona Sarkiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20249
3 202045
4 201716
5 20174
6 201598
7 201413
8 20133
9 201339
10 201124
11 201157
12 201020
13 201017
14 201023
15 20091
16 20092
17 200923
18 200738
19 200681
20 199895

About Mona Sarkiss

Mona Sarkiss is a scholar working on Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Internal Medicine and Speech and Hearing, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (22 papers), Tracheal and airway disorders (17 papers), Pleural and Pulmonary Diseases (12 papers), Airway Management and Intubation Techniques (7 papers), Cell death mechanisms and regulation (7 papers), Respiratory Support and Mechanisms (5 papers), Cancer-related Molecular Pathways (5 papers) and Ultrasound in Clinical Applications (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (236 citations), Pulmonary and Respiratory Medicine (939 citations), Microbiology (13 citations), Otorhinolaryngology (59 citations) and Oncology (242 citations). Mona Sarkiss has collaborated with scholars based in United States, Chile and Ireland. Frequent co-authors include David E. Ost, George A. Eapen, Roberto F. Casal, Rodolfo C. Morice, Timothy J. McDonnell, Carlos A. Jiménez, A. Beham, Horiana B. Grosu, Carlos A. Jimenez and Shawn Brisbay. Their work appears in journals such as CHEST Journal, Cancer, The Annals of Thoracic Surgery, Annals of the American Thoracic Society and Respirology.

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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