Jason Fish

1.6k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Jason Fish is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jason Fish has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Health Information Management and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jason Fish's work include Clinical practice guidelines implementation (5 papers), Electronic Health Records Systems (5 papers) and Chronic Disease Management Strategies (3 papers). Jason Fish is often cited by papers focused on Clinical practice guidelines implementation (5 papers), Electronic Health Records Systems (5 papers) and Chronic Disease Management Strategies (3 papers). Jason Fish collaborates with scholars based in United States, Canada and Sweden. Jason Fish's co-authors include Michael J. Kovacs, Peter J. Svensson, Anne Holbrook, Daniel M. Witt, Mark Crowther, Sam Schulman, Per Olav Vandvik, David L. Veenstra, Gordon Guyatt and Susan L. Ettner and has published in prestigious journals such as Diabetes, American Journal of Public Health and CHEST Journal.

In The Last Decade

Jason Fish

19 papers receiving 1.1k citations

Hit Papers

Evidence-Based Management of Anticoagulant Therapy 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Fish United States 8 659 494 141 138 81 19 1.1k
Jignesh P. Patel United Kingdom 19 674 1.0× 491 1.0× 74 0.5× 117 0.8× 80 1.0× 78 1.2k
Margie R. Goulding United States 11 825 1.3× 411 0.8× 127 0.9× 50 0.4× 37 0.5× 15 1.3k
C. Seth Landefeld United States 6 592 0.9× 390 0.8× 119 0.8× 173 1.3× 21 0.3× 10 989
Nathan P. Clark United States 22 1.3k 2.0× 1.1k 2.3× 197 1.4× 305 2.2× 41 0.5× 62 2.2k
Ole Hauch United States 23 1.2k 1.8× 800 1.6× 197 1.4× 353 2.6× 30 0.4× 53 1.7k
Lara A Kahale Lebanon 23 806 1.2× 1.1k 2.3× 182 1.3× 316 2.3× 170 2.1× 47 2.1k
Paul P. Dobesh United States 23 1.3k 2.0× 981 2.0× 227 1.6× 432 3.1× 219 2.7× 95 2.2k
Hemant Phatak United States 22 1.0k 1.6× 390 0.8× 158 1.1× 187 1.4× 40 0.5× 87 1.7k
David Battleman United States 17 607 0.9× 191 0.4× 210 1.5× 209 1.5× 60 0.7× 32 1.1k
Kenneth M. Shermock United States 27 435 0.7× 504 1.0× 267 1.9× 389 2.8× 161 2.0× 89 2.0k

Countries citing papers authored by Jason Fish

Since Specialization
Citations

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

Fields of papers citing papers by Jason Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Fish

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

All Works

19 of 19 papers shown
1.
Kermani, Asra, Michael E. Bowen, Jaime P. Almandoz, et al.. (2023). 1036-P: Developing an Explainable AI Model to Identify Members with Diabetes at High Risk for Worsening Glycemic Control in a Large Accountable Care Network (ACN). Diabetes. 72(Supplement_1). 1 indexed citations
2.
Turer, Christy B., Michael E. Bowen, Deepa Bhat, et al.. (2021). Determining pediatric hypertension criteria: concordance between observed physician methods and guideline-recommended methods. Journal of Hypertension. 39(9). 1893–1900. 1 indexed citations
5.
Martin‐Cook, Kristin, Alexandra M Huffman, Donna Bryant, et al.. (2021). Applying Lean Six Sigma to Improve Depression Screening and Follow-Up in Oncology Clinics. Journal for Healthcare Quality. 43(3). 153–162. 2 indexed citations
6.
Broome, Marion E., et al.. (2020). Depression Screening and Measurement-Based Care in Primary Care. Journal of Primary Care & Community Health. 11. 36 indexed citations
7.
Mirfakhraee, Sasan, et al.. (2020). Improving Diabetes Control Using Lean Six Sigma Quality Improvement in an Endocrine Clinic in a Large Accountable Care Organization. Clinical Diabetes. 39(1). 57–63. 3 indexed citations
8.
Ziolkowski, Natalia, Lily R. Mundy, Andrea L. Pusic, Jason Fish, & Anne F. Klassen. (2018). 14 SCAR-Q: An Update on Field-testing a Patient-reported Outcome Instrument for Burn, Surgical, and Traumatic Scars. Journal of Burn Care & Research. 39(suppl_1). S11–S11. 2 indexed citations
9.
Willett, DuWayne L., Vaishnavi Kannan, Ferdinand Velasco, et al.. (2018). SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data. Applied Clinical Informatics. 9(3). 667–682. 34 indexed citations
10.
Kannan, Vaishnavi, et al.. (2017). Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data. Methods of Information in Medicine. 56(S 01). e74–e83. 27 indexed citations
11.
Kannan, Vaishnavi, et al.. (2017). Agile co-development for clinical adoption and adaptation of innovative technologies. PubMed. 2018. 56–59. 9 indexed citations
12.
Bowen, Michael E., et al.. (2017). Patient, Provider, and System Factors Associated With Failure to Follow-Up Elevated Glucose Results in Patients Without Diagnosed Diabetes. Health Services Research and Managerial Epidemiology. 4. 1510314287–1510314287. 3 indexed citations
13.
Bowen, Michael E., Deepa Bhat, Jason Fish, et al.. (2017). Improving Performance on Preventive Health Quality Measures Using Clinical Decision Support to Capture Care Done Elsewhere and Patient Exceptions. American Journal of Medical Quality. 33(3). 237–245. 8 indexed citations
14.
Bhat, Deepa, et al.. (2017). How Common Are Pulmonary and Hepatic Adverse Effects in Older Adults Prescribed Nitrofurantoin?. Journal of the American Geriatrics Society. 65(6). 1316–1320. 24 indexed citations
15.
Fish, Jason, et al.. (2015). Analysis of an intervention on discharge summary quality and timeliness. European Journal for Person Centered Healthcare. 3(3). 362–362. 1 indexed citations
16.
Holbrook, Anne, Sam Schulman, Daniel M. Witt, et al.. (2012). Evidence-Based Management of Anticoagulant Therapy. CHEST Journal. 141(2). e152S–e184S. 887 indexed citations breakdown →
17.
Zhang, Zhou & Jason Fish. (2012). Recommended care adherence: improved by patient reminder letters but with potential attenuation by the healthcare process complexity.. PubMed. 20(2). 149–64. 3 indexed citations
18.
Fish, Jason, Susan L. Ettner, Alfonso Ang, & Arleen F. Brown. (2010). Association of Perceived Neighborhood Safety on Body Mass Index. American Journal of Public Health. 100(11). 2296–2303. 78 indexed citations
19.
Innes, Michael, et al.. (2001). The Multiple Organ Dysfunction Score (MODS) in Burn Patients. Journal of Burn Care & Rehabilitation. 22. S109–S109. 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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