Mark G. Swain
- Epidemiology top 0.2%
- Hepatology top 0.1%
- Surgery top 2%
- Astronomy and Astrophysics top 2%
- Immunology top 2%
- Co-authors
- Charlotte D’MelloTai LeAbdel Aziz ShaheenGilaad G. KaplanG. TinettiMaureen N. AjueborGautam VasishtStephen E. Congly
- Topics
- Liver Disease Diagnosis and Treatment (94 papers)Liver Diseases and Immunity (61 papers)Stellar, planetary, and galactic studies (57 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Mark G. Swain
314 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Epidemiology 4.5k
- Hepatology 3.7k
- Surgery 1.7k
- Astronomy and Astrophysics 1.5k
- Immunology 1.3k
Countries citing papers authored by Mark G. Swain
This map shows the geographic impact of Mark G. Swain'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 Mark G. Swain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Swain more than expected).
Fields of papers citing papers by Mark G. Swain
This network shows the impact of papers produced by Mark G. Swain. 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 Mark G. Swain. The network helps show where Mark G. Swain may publish in the future.
Co-authorship network of co-authors of Mark G. Swain
This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Swain. A scholar is included among the top collaborators of Mark G. Swain 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 Mark G. Swain. Mark G. Swain 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 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 26 | |
| 11 | 41 | |
| 12 | 20 | |
| 13 | 18 | |
| 14 | 4 | |
| 15 | Planetary Imaging Concept Testbed Using a Recoverable Experiment - Coronagraph | 1 |
| 16 | Thesis: A Combined-light Mission For Exoplanet Molecular Spectroscopy | 1 |
| 17 | Finesse - A New Mission Concept For Exoplanet Spectroscopy | 2 |
| 18 | 3 | |
| 19 | 3 | |
| 20 | Ribavirin as Therapy for Chronic Hepatitis C | 72 |
About Mark G. Swain
Mark G. Swain is a scholar working on Hepatology, Instrumentation and Biological Psychiatry, having authored 329 papers that have together received 11.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (94 papers), Liver Diseases and Immunity (61 papers) and Stellar, planetary, and galactic studies (57 papers). The work is most often cited by research in Hepatology (3.7k citations), Biological Psychiatry (698 citations) and Behavioral Neuroscience (527 citations). Mark G. Swain has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Charlotte D’Mello, Tai Le, Abdel Aziz Shaheen, Gilaad G. Kaplan, G. Tinetti, Maureen N. Ajuebor, Gautam Vasisht, Stephen E. Congly, Kiarash Riazi and Fox E. Underwood. Their work appears in journals such as Nature, Journal of Clinical Investigation and Journal of Neuroscience.
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.