Margot Boigon
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
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- COVID-19 Clinical Research Studies 4
- Surgery 4
- Organ Transplantation Techniques and Outcomes 1
- Co-authors
- Waqas Ullah (9 shared papers)Sohaib Roomi (7 shared papers)Shujaul Haq (4 shared papers)Rehan Saeed (7 shared papers)Donald Haas (7 shared papers)Shafaq Tariq (3 shared papers)David L. Fischman (3 shared papers)Doron Schneider (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Circulation (1 paper)The American Journal of Gastroenterology (1 paper)Journal of Cardiac Failure (1 paper)Vox Sanguinis (1 paper)
- Partner nations
- United StatesPakistanUnited Kingdom
In The Last Decade
Margot Boigon
15 papers receiving 158 citations
Peers
Comparison fields: 5 of 45
- Infectious Diseases 68
- Neurology 29
- Applied Microbiology and Biotechnology 3
- Critical Care and Intensive Care Medicine 7
- Internal Medicine 4
Countries citing papers authored by Margot Boigon
This map shows the geographic impact of Margot Boigon'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 Margot Boigon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margot Boigon more than expected).
Fields of papers citing papers by Margot Boigon
This network shows the impact of papers produced by Margot Boigon. 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 Margot Boigon. The network helps show where Margot Boigon may publish in the future.
Co-authors
The 25 scholars most cited alongside Margot Boigon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2020 | 35 | |
| 3 | 2020 | 13 | |
| 4 | 2007 | 12 | |
| 5 | 1995 | 10 | |
| 6 | 2020 | 8 | |
| 7 | Posttransplantation hemodynamics and exercise function are not affected by body-size matching of donor and recipient. | 1993 | 8 |
| 8 | 2021 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2017 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2003 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2020 | 0 |
About Margot Boigon
Margot Boigon is a scholar working on Infectious Diseases, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Neurology, having authored 17 papers that have together received 167 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Cardiac pacing and defibrillation studies (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Cardiovascular Effects of Exercise (1 paper), Vagus Nerve Stimulation Research (1 paper), COVID-19 and healthcare impacts (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Infectious Diseases (68 citations), Neurology (29 citations), Applied Microbiology and Biotechnology (3 citations), Critical Care and Intensive Care Medicine (7 citations) and Internal Medicine (4 citations). Margot Boigon has collaborated with scholars based in United States, Pakistan and United Kingdom. Frequent co-authors include Waqas Ullah, Sohaib Roomi, Shujaul Haq, Rehan Saeed, Donald Haas, Shafaq Tariq, David L. Fischman, Doron Schneider, Darilyn V. Moyer and Talal Almas. Their work appears in journals such as Journal of Medical Internet Research, Circulation, The American Journal of Gastroenterology, Journal of Cardiac Failure and Vox Sanguinis.
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.