Jeffrey Budd
Impact in
- Health Informatics top 10%
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- Diet, Metabolism, and Disease
Papers in
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- Liver Disease Diagnosis and Treatment 3
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- Diet, Metabolism, and Disease 2
- Hormonal Regulation and Hypertension 1
- Co-authors
- Kenneth Cusi (3 shared papers)Michelle Weber (1 shared paper)Romina Lomonaco (1 shared paper)Diane Biernacki (1 shared paper)Fernando Bril (1 shared paper)Paola Portillo-Sánchez (1 shared paper)Diana Barb (1 shared paper)Amitabh Suman (1 shared paper)
- Journals
- Journal of Clinical Medicine (2 papers)Current Diabetes Reports (1 paper)Hepatology (1 paper)The American Journal of Medicine (1 paper)Journal of Primary Care & Community Health (1 paper)
- Partner nations
- United StatesVietnam
In The Last Decade
Jeffrey Budd
9 papers receiving 454 citations
Jeffrey Budd's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 18
- Endocrinology, Diabetes and Metabolism 113
- Epidemiology 226
- Health Information Management 21
- Pharmacology 38
Countries citing papers authored by Jeffrey Budd
This map shows the geographic impact of Jeffrey Budd'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 Jeffrey Budd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Budd more than expected).
Fields of papers citing papers by Jeffrey Budd
This network shows the impact of papers produced by Jeffrey Budd. 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 Jeffrey Budd. The network helps show where Jeffrey Budd may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Budd, 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 | 2016 | 223 | |
| 2 | Burnout Related to Electronic Health Record Use in Primary Care Hit paper breakdown → | 2023 | 105 |
| 3 | 2020 | 45 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 40 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2021 | 0 |
About Jeffrey Budd
Jeffrey Budd is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Pharmacology, having authored 10 papers that have together received 467 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Hormonal Regulation and Hypertension (1 paper), Opioid Use Disorder Treatment (1 paper), Healthcare professionals’ stress and burnout (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Health Informatics (18 citations), Endocrinology, Diabetes and Metabolism (113 citations), Epidemiology (226 citations), Health Information Management (21 citations) and Pharmacology (38 citations). Jeffrey Budd has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Kenneth Cusi, Michelle Weber, Romina Lomonaco, Diane Biernacki, Fernando Bril, Paola Portillo-Sánchez, Diana Barb, Amitabh Suman, John G. Gums and Larisa H. Cavallari. Their work appears in journals such as Journal of Clinical Medicine, Current Diabetes Reports, Hepatology, The American Journal of Medicine and Journal of Primary Care & Community Health.
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.