Jeffrey Budd

9 papers receiving 414 citations

Jeffrey Budd's Hit Papers

Burnout Related to Electronic Health Record Use in Primary Care 2023 · 79 citations
790+1+2Years since publication255075

Peers

Jeffrey Budd
Comparison fields: 5 of 73
  • Health Informatics 15
  • Endocrinology, Diabetes and Metabolism 165
  • Epidemiology 259
  • Hepatology 54
  • Health Information Management 26
Replace Noraidatulakma Abdullah with:
Noraidatulakma Abdullah Malaysia
Massoud Toussi France
Antonella Mirizzi Italy
Alan Yean Yip Fong Malaysia
Rosângela Réa Brazil
Minsuk Oh South Korea
Mona Hegazy Egypt
Katherine Pollard United States
Joseph J. Deferio United States
Joseph Elassal United States
Jeffrey Budd relative to Noraidatulakma Abdullah Malaysia Noraidatulakma Abdullah's profile →
Citations per field
00.5×3.2×
Noraidatulakma Abdullah · 1×
Citations per year

Countries citing papers authored by Jeffrey Budd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 2016213
2
Burnout Related to Electronic Health Record Use in Primary Care
Hit paper breakdown →
202379
3 202043
4 202041
5 202039
6 20235
7 20223
8 20221
9 20201

About Jeffrey Budd

Jeffrey Budd is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Hepatology and Surgery, having authored 9 papers that have together received 425 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (2 papers), Liver Disease and Transplantation (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Alcohol Consumption and Health Effects (1 paper), Heart Failure Treatment and Management (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Health Informatics (15 citations), Endocrinology, Diabetes and Metabolism (165 citations), Epidemiology (259 citations), Hepatology (54 citations) and Health Information Management (26 citations). Jeffrey Budd has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Kenneth Cusi, Paola Portillo-Sánchez, Romina Lomonaco, Diane Biernacki, Diana Barb, Fernando Bril, Michelle Weber, Amitabh Suman, Ashleigh Wright and Amanda R. Elsey. Their work appears in journals such as Journal of Clinical Medicine, Hepatology, Journal of Primary Care & Community Health, The American Journal of Medicine and Current Diabetes Reports.

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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