Grant Fletcher

2.2k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Grant Fletcher is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Grant Fletcher has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Grant Fletcher's work include Emergency and Acute Care Studies (6 papers), Heart Failure Treatment and Management (6 papers) and Electronic Health Records Systems (5 papers). Grant Fletcher is often cited by papers focused on Emergency and Acute Care Studies (6 papers), Heart Failure Treatment and Management (6 papers) and Electronic Health Records Systems (5 papers). Grant Fletcher collaborates with scholars based in United States, Switzerland and Israel. Grant Fletcher's co-authors include Andrew D. Auerbach, Sunil Kripalani, Edmondo Robinson, Jeffrey L. Schnipper, Eduard E. Vasilevskis, Joshua P. Metlay, Thomas H. Payne, Mark V. Williams, Jacques Donzé and Ritankar Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Grant Fletcher

33 papers receiving 1.5k citations

Hit Papers

Preventability and Causes of Readmissions in a National C... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Preventability and Causes of Readmissions in a National Cohort of General Medicine Patients
    2016 281 citations Andrew D. Auerbach, Sunil Kripalani et al. JAMA Internal Medicine profile →

Peers

Grant Fletcher
David Kagen United States
Ruben Amarasingham United States
Amanda H. Salanitro United States
Cecelia Theobald United States
Marta L. Render United States
Jeanne M. Huddleston United States
John Kellett Ireland
Lemuel R. Waitman United States
Jacques Donzé Switzerland
Kelly B. Zarnke Canada
David Kagen United States
Grant Fletcher
Citations per year, relative to Grant Fletcher Grant Fletcher (= 1×) peers David Kagen

Countries citing papers authored by Grant Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by Grant Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Fletcher

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

All Works

20 of 20 papers shown
1.
Aubert, Carole E., Jeffrey L. Schnipper, Marie Roumet, et al.. (2020). Best Definitions of Multimorbidity to Identify Patients With High Health Care Resource Utilization. SHILAP Revista de lepidopterología. 4(1). 40–49. 28 indexed citations
2.
Aubert, Carole E., Jeffrey L. Schnipper, Niklaus Fankhauser, et al.. (2020). Patterns of multimorbidity in medical inpatients: a multinational retrospective cohort study. Internal and Emergency Medicine. 15(7). 1207–1217. 6 indexed citations
3.
Mohamadlou, Hamid, J.R. Calvert, Sidney Le, et al.. (2019). Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction. Health Informatics Journal. 26(3). 1912–1925. 15 indexed citations
4.
Aubert, Carole E., Jeffrey L. Schnipper, Niklaus Fankhauser, et al.. (2019). Patterns of multimorbidity associated with 30-day readmission: a multinational study. BMC Public Health. 19(1). 738–738. 26 indexed citations
5.
6.
Mao, Qingqing, Melissa Jay, Jana Hoffman, et al.. (2018). Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU. BMJ Open. 8(1). e017833–e017833. 229 indexed citations
7.
Fletcher, Grant & Thomas H. Payne. (2017). Selection and Implementation of an Electronic Health Record. PM&R. 9(5S). S4–S12. 7 indexed citations
8.
Fletcher, Grant, et al.. (2017). Effect of a Real-Time Electronic Dashboard on a Rapid Response System. Journal of Medical Systems. 42(1). 5–5. 20 indexed citations
9.
Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2017). Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting. PubMed. 9. 2718907427–2718907427. 40 indexed citations
10.
Auerbach, Andrew D., Sunil Kripalani, Eduard E. Vasilevskis, et al.. (2016). Preventability and Causes of Readmissions in a National Cohort of General Medicine Patients. JAMA Internal Medicine. 176(4). 484–484. 281 indexed citations breakdown →
11.
Fletcher, Grant, et al.. (2014). Drug interaction alert override rates in the Meaningful Use era. Applied Clinical Informatics. 5(3). 802–813. 128 indexed citations
12.
Dugowson, Carin E., et al.. (2012). Use of more than one electronic medical record system within a single health care organization. Applied Clinical Informatics. 3(4). 462–474. 29 indexed citations
13.
Williams, Emily C., Maxine Johnson, Gwen T. Lapham, et al.. (2011). Strategies to implement alcohol screening and brief intervention in primary care settings: A structured literature review.. Psychology of Addictive Behaviors. 25(2). 206–214. 117 indexed citations
14.
Fletcher, Grant, et al.. (2010). Transition from paper to electronic inpatient physician notes. Journal of the American Medical Informatics Association. 17(1). 108–111. 46 indexed citations
15.
Solti, Imre, et al.. (2008). Building an automated problem list based on natural language processing: lessons learned in the early phase of development.. PubMed. 687–91. 25 indexed citations
16.
Konrad, Thomas R., Grant Fletcher, & Timothy S. Carey. (2004). Interprofessional Collaboration and Job Satisfaction of Chiropractic Physicians. Journal of Manipulative and Physiological Therapeutics. 27(4). 245–252. 13 indexed citations
17.
Fletcher, Grant, et al.. (1972). Oxygen Tension Measurements in Small Samples. American Review of Respiratory Disease. 106(6). 914–916. 3 indexed citations
18.
19.
Northway, William H., et al.. (1967). 85 A Treatment for the Complications of Prolonged Artificial Ventilation of Small Infants. Pediatric Research. 1(3). 222–222. 1 indexed citations
20.
Fletcher, Grant, et al.. (1966). Lung Mechanics and Physiologic Shunt During Spontaneous Breathing in Normal Subjects. Anesthesiology. 27(5). 638–647. 11 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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