Surafel Mulugeta
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology
- Surgery top 10%
- Cell Biology top 10%
- Epidemiology
- Co-authors
- Michael F. BeersScott J. RussoJean Ann MaguireShin‐ichi NurekiMuniswamy MadeshVu H. NguyenWenjing WangJeremy Katzen
- Topics
- Neonatal Respiratory Health Research (25 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers)Cystic Fibrosis Research Advances (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Surafel Mulugeta
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 378
- Surgery 308
- Cell Biology 186
- Epidemiology 165
Countries citing papers authored by Surafel Mulugeta
This map shows the geographic impact of Surafel Mulugeta'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 Surafel Mulugeta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surafel Mulugeta more than expected).
Fields of papers citing papers by Surafel Mulugeta
This network shows the impact of papers produced by Surafel Mulugeta. 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 Surafel Mulugeta. The network helps show where Surafel Mulugeta may publish in the future.
Co-authorship network of co-authors of Surafel Mulugeta
This figure shows the co-authorship network connecting the top 25 collaborators of Surafel Mulugeta. A scholar is included among the top collaborators of Surafel Mulugeta 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 Surafel Mulugeta. Surafel Mulugeta 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 | 19 | |
| 3 | 13 | |
| 4 | 13 | |
| 5 | 80 | |
| 6 | 143 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 40 | |
| 10 | 36 | |
| 11 | 18 | |
| 12 | 51 | |
| 13 | 1 | |
| 14 | 101 | |
| 15 | 192 | |
| 16 | 62 | |
| 17 | 116 | |
| 18 | 22 | |
| 19 | 43 | |
| 20 | 4 |
About Surafel Mulugeta
Surafel Mulugeta is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Cell Biology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (25 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers) and Cystic Fibrosis Research Advances (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Endocrine and Autonomic Systems (123 citations) and Cell Biology (186 citations). Surafel Mulugeta has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael F. Beers, Scott J. Russo, Jean Ann Maguire, Shin‐ichi Nureki, Muniswamy Madesh, Vu H. Nguyen, Wenjing Wang, Jeremy Katzen, Yaniv Tomer and Alessandro Venosa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.