Miguel Burch
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Gastroenterology top 2%
- Gastroesophageal reflux and treatments
Papers in
-
- Gastroesophageal reflux and treatments 9
- Gastrointestinal Tumor Research and Treatment 4
- Surgery 43
- Bariatric Surgery and Outcomes 12
- Esophageal and GI Pathology 9
- Helicobacter pylori-related gastroenterology studies 7
- Co-authors
- Richard N. BergmanViorica IonutAdrienne YoudimScott A. CunneenEdward H PhillipsRabindra R. WatsonNithya RajeevYee Hui Yeo
- Journals
- The American Surgeon (4 papers)Surgical Endoscopy (3 papers)JAMA Network Open (2 papers)Journal of Surgical Research (2 papers)Surgery for Obesity and Related Diseases (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Miguel Burch
46 papers receiving 864 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 133
- Gastroenterology 194
- Surgery 578
- Pharmacy 37
- Endocrine and Autonomic Systems 40
Countries citing papers authored by Miguel Burch
This map shows the geographic impact of Miguel Burch'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 Miguel Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Burch more than expected).
Fields of papers citing papers by Miguel Burch
This network shows the impact of papers produced by Miguel Burch. 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 Miguel Burch. The network helps show where Miguel Burch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miguel Burch, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 27 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 28 | |
| 14 | 2014 | 130 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 12 | |
| 17 | 2011 | 3 | |
| 18 | 2008 | 23 | |
| 19 | 2005 | 12 | |
| 20 | 2003 | 4 |
About Miguel Burch
Miguel Burch is a scholar working on Gastroenterology, Surgery, Health Informatics, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 51 papers that have together received 885 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), Bariatric Surgery and Outcomes (12 papers), Gastroesophageal reflux and treatments (9 papers), Esophageal and GI Pathology (9 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Diet and metabolism studies (4 papers), Diabetes Management and Research (4 papers) and Gastrointestinal Tumor Research and Treatment (4 papers). The work is most often cited by research in Health Informatics (133 citations), Gastroenterology (194 citations), Surgery (578 citations), Pharmacy (37 citations) and Endocrine and Autonomic Systems (40 citations). Miguel Burch has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Richard N. Bergman, Viorica Ionut, Adrienne Youdim, Scott A. Cunneen, Edward H Phillips, Rabindra R. Watson, Nithya Rajeev, Yee Hui Yeo, Justin Park and Lauren Hawley. Their work appears in journals such as The American Surgeon, Surgical Endoscopy, JAMA Network Open, Journal of Surgical Research and Surgery for Obesity and Related Diseases.
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.