Mathew Suji Eapen
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology
- Physiology top 10%
- Immunology
- Infectious Diseases top 10%
- Co-authors
- Sukhwinder Singh SohalStephen MyersE. Haydn WaltersKielan Darcy McAlindenPawan SharmaChris WardPhilip M. HansbroWenying Lu
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (32 papers)Neonatal Respiratory Health Research (14 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers)
In The Last Decade
Mathew Suji Eapen
66 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Pulmonary and Respiratory Medicine 872
- Molecular Biology 380
- Physiology 347
- Immunology 209
- Infectious Diseases 180
Countries citing papers authored by Mathew Suji Eapen
This map shows the geographic impact of Mathew Suji Eapen'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 Mathew Suji Eapen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew Suji Eapen more than expected).
Fields of papers citing papers by Mathew Suji Eapen
This network shows the impact of papers produced by Mathew Suji Eapen. 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 Mathew Suji Eapen. The network helps show where Mathew Suji Eapen may publish in the future.
Co-authorship network of co-authors of Mathew Suji Eapen
This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Suji Eapen. A scholar is included among the top collaborators of Mathew Suji Eapen 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 Mathew Suji Eapen. Mathew Suji Eapen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | SARS-CoV-2 (COVID-19) Adhesion Site Protein Upregulation in Small Airways, Type 2 Pneumocytes, and Alveolar Macrophages of Smokers and COPD – Possible Implications for Interstitial Fibrosis | 11 |
| 11 | 28 | |
| 12 | 18 | |
| 13 | 83 | |
| 14 | Therapeutic targets in lung tissue remodelling and fibrosisbreakdown → | 163 |
| 15 | 81 | |
| 16 | 48 | |
| 17 | 21 | |
| 18 | 91 | |
| 19 | Role of corticosteroids in chronic obstructive pulmonary disease (COPD) | 3 |
| 20 | 3 |
About Mathew Suji Eapen
Mathew Suji Eapen is a scholar working on Pulmonary and Respiratory Medicine, Emergency Medical Services and Physiology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (32 papers), Neonatal Respiratory Health Research (14 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (872 citations), Physiology (347 citations) and Emergency Medical Services (73 citations). Mathew Suji Eapen has collaborated with scholars based in Australia, Canada and India. Frequent co-authors include Sukhwinder Singh Sohal, Stephen Myers, E. Haydn Walters, Kielan Darcy McAlinden, Pawan Sharma, Chris Ward, Philip M. Hansbro, Wenying Lu, Collin Chia and Tillie‐Louise Hackett. Their work appears in journals such as PLoS ONE, Scientific Reports and The FASEB 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.