Miguel Burch

1.5k citations
52 papers · 923 · h-index 14

Impact in

Papers in

Miguel Burch

46 papers receiving 900 citations

Peers

Miguel Burch
Comparison fields: 5 of 90
  • Health Informatics 124
  • Gastroenterology 173
  • Surgery 452
  • Endocrine and Autonomic Systems 28
  • Pharmacy 19
Replace Kamran Samakar with:
Kamran Samakar United States
David Goitein Israel
Zhihui Li China
Dana Portenier United States
Christine Ren‐Fielding United States
Markus Gass Switzerland
Gregory P. Tarr New Zealand
Chung-Wang Ko Taiwan
Piotr Małczak Poland
Alexander Zajichek United States
Miguel Burch relative to Kamran Samakar United States Kamran Samakar's profile →
Citations per field
00.5×10×14×
Kamran Samakar · 1×
Citations per year

Countries citing papers authored by Miguel Burch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Miguel Burch Line = papers co-authored together Miguel Burch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023183
2 2014134
3 2013113
4 201999
5 201529
6 201827
7 201026
8 200823
9 201922
10 200522
11 201719
12 201118
13 202115
14 201713
15 201413
16 202113
17 202212
18 201412
19 200512
20 201811

About Miguel Burch

Miguel Burch is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Gastroenterology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 52 papers that have together received 923 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (12 papers), Gastroesophageal reflux and treatments (7 papers), Gastric Cancer Management and Outcomes (7 papers), Diabetes Management and Research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Esophageal Cancer Research and Treatment (3 papers), Esophageal and GI Pathology (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). The work is most often cited by research in Health Informatics (124 citations), Gastroenterology (173 citations), Surgery (452 citations), Endocrine and Autonomic Systems (28 citations) and Pharmacy (19 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, Justin Park, Jamil S. Samaan, Kamran Samakar and Lauren Hawley. Their work appears in journals such as The American Surgeon, Surgical Endoscopy, Obesity Surgery, American Journal of Physiology-Endocrinology and Metabolism and The American Journal of Gastroenterology.

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.

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