Sze Mun Mak
- Pulmonary and Respiratory Medicine top 10%
- Neurology top 5%
- Infectious Diseases top 10%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Co-authors
- Giulia BenedettiRebecca PrestonAlex WestBhashkar MukherjeePhilip L. MolyneauxAmy DewarKatherine MyallMuhunthan Thillai
- Topics
- Lung Cancer Diagnosis and Treatment (5 papers)Infective Endocarditis Diagnosis and Management (4 papers)Mechanical Circulatory Support Devices (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Sze Mun Mak
18 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Pulmonary and Respiratory Medicine 264
- Neurology 216
- Infectious Diseases 185
- Radiology, Nuclear Medicine and Imaging 66
- Surgery 57
Countries citing papers authored by Sze Mun Mak
This map shows the geographic impact of Sze Mun Mak'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 Sze Mun Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sze Mun Mak more than expected).
Fields of papers citing papers by Sze Mun Mak
This network shows the impact of papers produced by Sze Mun Mak. 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 Sze Mun Mak. The network helps show where Sze Mun Mak may publish in the future.
Co-authorship network of co-authors of Sze Mun Mak
This figure shows the co-authorship network connecting the top 25 collaborators of Sze Mun Mak. A scholar is included among the top collaborators of Sze Mun Mak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sze Mun Mak. Sze Mun Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | Persistent Post–COVID-19 Interstitial Lung Disease. An Observational Study of Corticosteroid Treatmentbreakdown → | 264 |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 67 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | Imaging of Chest Wall Deformities | 0 |
| 20 | 4 |
About Sze Mun Mak
Sze Mun Mak is a scholar working on Health Informatics, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 510 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Infective Endocarditis Diagnosis and Management (4 papers) and Mechanical Circulatory Support Devices (4 papers). The work is most often cited by research in Neurology (216 citations), Infectious Diseases (185 citations) and Pulmonary and Respiratory Medicine (264 citations). Sze Mun Mak has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Giulia Benedetti, Rebecca Preston, Alex West, Bhashkar Mukherjee, Philip L. Molyneaux, Amy Dewar, Katherine Myall, Muhunthan Thillai, Arjun Nair and Andrew Retter. Their work appears in journals such as Critical Care Medicine, British Journal of Radiology and Postgraduate Medical Journal.
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.