Frank Schembri

2.5k citations
20 papers · 1.8k · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Lung Cancer Treatments and Mutations
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Lung Cancer Diagnosis and Treatment

Papers in

Frank Schembri

19 papers receiving 1.7k citations

Peers

Frank Schembri
Comparison fields: 5 of 122
  • Cancer Research 556
  • Pulmonary and Respiratory Medicine 530
  • Molecular Biology 970
  • Critical Care and Intensive Care Medicine 73
  • Otorhinolaryngology 53
Replace Hong Fan with:
Hong Fan China
Katrina Steiling United States
In‐Jae Oh South Korea
Ching Tzao Taiwan
Jie Chen China
Chengping Hu China
Patrizia Viola United Kingdom
Andrew Durham United Kingdom
Mulong Du China
Frank Schembri relative to Hong Fan China Hong Fan's profile →
Citations per field
00.5×4.6×
Hong Fan · 1×
Citations per year

Countries citing papers authored by Frank Schembri

Since Specialization
Citations

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

Fields of papers citing papers by Frank Schembri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2004451
2 2007407
3 2009342
4 2008169
5 2011115
6 200980
7 201964
8 201330
9 199927
10 201124
11 200423
12 201913
13 20187
14 20047
15 20214
16 20231
17 20201
18 20151
19 20111
20 20240

About Frank Schembri

Frank Schembri is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers), Ultrasound in Clinical Applications (5 papers), Radiation Dose and Imaging (4 papers), MicroRNA in disease regulation (3 papers), Radiology practices and education (3 papers), Smoking Behavior and Cessation (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (556 citations), Pulmonary and Respiratory Medicine (530 citations), Molecular Biology (970 citations), Critical Care and Intensive Care Medicine (73 citations) and Otorhinolaryngology (53 citations). Frank Schembri has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Avrum Spira, Gang Liu, Jerome S. Brody, Vishal Shah, Jennifer Beane, Marc E. Lenburg, John F. Palma, Sriram Sridhar, Xuemei Yang and Katrina Steiling. Their work appears in journals such as CHEST Journal, Proceedings of the National Academy of Sciences, Cancer Prevention Research, Nature Medicine and Journal of Clinical Monitoring and Computing.

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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