Michael Quezada

467 total citations
8 papers, 311 citations indexed

About

Michael Quezada is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Michael Quezada has authored 8 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Michael Quezada's work include Pancreatitis Pathology and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Michael Quezada is often cited by papers focused on Pancreatitis Pathology and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Michael Quezada collaborates with scholars based in United States and Chile. Michael Quezada's co-authors include James Buxbaum, Ben L. Da, Christianne J. Lane, Claudia Brizuela, Rafael Tapia‐Limonchi, Maroun Khoury, María I. Cádiz, Valeria Ramı́rez, Ioannis Angelopoulos and Kenneth Leung and has published in prestigious journals such as The American Journal of Gastroenterology, Journal of Dental Research and Hepatology Communications.

In The Last Decade

Michael Quezada

7 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Quezada United States 5 207 127 63 57 40 8 311
Anoop Appannagari United States 6 175 0.8× 78 0.6× 9 0.1× 46 0.8× 5 0.1× 10 322
John F. Hoffmann United States 13 209 1.0× 38 0.3× 25 0.4× 45 0.8× 12 0.3× 20 298
Darin Friess United States 12 332 1.6× 112 0.9× 7 0.1× 18 0.3× 17 0.4× 45 491
Adel Ebrahimpour Iran 11 290 1.4× 33 0.3× 5 0.1× 27 0.5× 15 0.4× 68 405
D. Ray McArthur United Kingdom 10 160 0.8× 130 1.0× 63 1.0× 42 0.7× 13 0.3× 35 316
Izuchukwu Ibe United States 9 210 1.0× 44 0.3× 13 0.2× 30 0.5× 5 0.1× 21 308
Antonio Strangio Italy 9 61 0.3× 21 0.2× 54 0.9× 17 0.3× 5 0.1× 23 316
Jesús Cuenca-Pardo Mexico 9 223 1.1× 64 0.5× 4 0.1× 8 0.1× 10 0.3× 39 306
Mohamed A. Ellabban Egypt 9 169 0.8× 20 0.2× 9 0.1× 57 1.0× 10 0.3× 39 257
Farnoosh Sokhandon United States 9 191 0.9× 39 0.3× 16 0.3× 102 1.8× 13 0.3× 18 263

Countries citing papers authored by Michael Quezada

Since Specialization
Citations

This map shows the geographic impact of Michael Quezada'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 Michael Quezada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Quezada more than expected).

Fields of papers citing papers by Michael Quezada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Quezada. 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 Michael Quezada. The network helps show where Michael Quezada may publish in the future.

Co-authorship network of co-authors of Michael Quezada

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Quezada. A scholar is included among the top collaborators of Michael Quezada 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 Michael Quezada. Michael Quezada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Brizuela, Claudia, Michael Quezada, Valeria Ramı́rez, et al.. (2020). Cell-Based Regenerative Endodontics for Treatment of Periapical Lesions: A Randomized, Controlled Phase I/II Clinical Trial. Journal of Dental Research. 99(5). 523–529. 96 indexed citations
2.
Buxbaum, James, Michael Quezada, Nikhil Gupta, et al.. (2018). The Pancreatitis Activity Scoring System predicts clinical outcomes in acute pancreatitis: findings from a prospective cohort study. The American Journal of Gastroenterology. 113(5). 755–764. 58 indexed citations
3.
Leung, Kenneth, Michael Quezada, Zhengshan Chen, Gary C. Kanel, & Neil Kaplowitz. (2018). Niacin‐Induced Anicteric Microvesicular Steatotic Acute Liver Failure. Hepatology Communications. 2(11). 1293–1298. 17 indexed citations
4.
Buxbaum, James, Michael Quezada, Ben L. Da, et al.. (2017). Early Aggressive Hydration Hastens Clinical Improvement in Mild Acute Pancreatitis. The American Journal of Gastroenterology. 112(5). 797–803. 91 indexed citations
5.
Wu, Bechien U., Michael Batech, Michael Quezada, et al.. (2017). Dynamic Measurement of Disease Activity in Acute Pancreatitis: The Pancreatitis Activity Scoring System. The American Journal of Gastroenterology. 112(7). 1144–1152. 47 indexed citations
6.
Quezada, Michael, Ben L. Da, Christopher Ko, et al.. (2017). PASS (Pancreatitis Activity Scoring System) Predicts Moderately Severe and Severe Acute Pancreatitis. The American Journal of Gastroenterology. 112. S24–S24.
7.
Quezada, Michael, Ben L. Da, Bechien U. Wu, et al.. (2016). Acute Pancreatitis Clinical Activity Index (AP-CAI) at Discharge Predicts Readmission for Acute Pancreatitis: 2016 ACG Lawlor Resident Award. The American Journal of Gastroenterology. 111(S1). S1–S1. 1 indexed citations
8.
Da, Ben L., Michael Quezada, Ira Shulman, Sarah Sheibani, & James Buxbaum. (2015). Severe Obesity Predicts Adverse Outcomes in Acute Pancreatitis. The American Journal of Gastroenterology. 110. S14–S14. 1 indexed citations

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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