Rachel Willard‐Grace

3.2k citations
53 papers · 2.2k indexed · 4 hit papers · h-index 22

Rachel Willard‐Grace

48 papers receiving 2.1k citations

Hit Papers

Burnout and Health Care Workforce Turnover2362013202620172021100200300

Peers

Rachel Willard‐Grace
Comparison fields: 5 of 104
  • General Health Professions 1.7k
  • Research and Theory 48
  • Health Information Management 204
  • Family Practice 67
  • Organizational Behavior and Human Resource Management 249
Replace Sara Poplau with:
Sara Poplau United States
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Denise D. Quigley United States
T. Bodenheimer United States
Lynne S. Nemeth United States
Emily Cherlin United States
Ivy Oandasan Canada
Neda Ratanawongsa United States
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Citations per field
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Citations per year

Countries citing papers authored by Rachel Willard‐Grace

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Willard‐Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel Willard‐Grace. 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 Rachel Willard‐Grace. The network helps show where Rachel Willard‐Grace may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Rachel Willard‐Grace, 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 Rachel Willard‐Grace Line = papers co-authored together Rachel Willard‐Grace links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20230
5 20223
6 202112
7 20214
8 201966
9 20186
10 201829
11 201813
12 201865
13 201713
14 20175
15 20164
16 20157
17 20159
18 201553
19
“I Don’t See Myself as a Medical Assistant Anymore”: Learning to Become a Health Coach, in our Own Voices
20132
20 201351

About Rachel Willard‐Grace

Rachel Willard‐Grace is a scholar working on General Health Professions, Organizational Behavior and Human Resource Management and Issues, ethics and legal aspects, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (26 papers), Healthcare professionals’ stress and burnout (12 papers), Chronic Disease Management Strategies (11 papers), Patient Satisfaction in Healthcare (9 papers), Healthcare Systems and Technology (9 papers), Diabetes Management and Education (7 papers), Innovations in Medical Education (7 papers) and Healthcare Policy and Management (6 papers). The work is most often cited by research in General Health Professions (1.7k citations), Research and Theory (48 citations) and Health Information Management (204 citations). Rachel Willard‐Grace has collaborated with scholars based in United States, Netherlands and Tanzania. Frequent co-authors include Kevin Grumbach, T. Bodenheimer, Margae Knox, Amireh Ghorob, Danielle Hessler, Beatrice Huang, David H. Thom, Thomas A. Sinsky, David Margolius and Christine A. Sinsky. Their work appears in journals such as The Journal of the American Board of Family Medicine, The Annals of Family Medicine, Journal of General Internal Medicine, Journal of Health Care for the Poor and Underserved and The Joint Commission Journal on Quality and Patient Safety.

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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