Heather Hagg

1.1k total citations · 2 hit papers
8 papers, 617 citations indexed

About

Heather Hagg is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Heather Hagg has authored 8 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Economics and Econometrics. Recurrent topics in Heather Hagg's work include Chronic Disease Management Strategies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). Heather Hagg is often cited by papers focused on Chronic Disease Management Strategies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). Heather Hagg collaborates with scholars based in United States. Heather Hagg's co-authors include Dena M Bravata, Sharon A. Watts, Divya Madhusudhan, Kevin Cokley, Megan F. Pera, Christopher Whaley, Neeraj Sood, Jonathan Cantor, Jennie C.C. Chang and Katie Taylor and has published in prestigious journals such as Journal of General Internal Medicine, JAMA Network Open and Journal of Occupational and Environmental Medicine.

In The Last Decade

Heather Hagg

7 papers receiving 594 citations

Hit Papers

Prevalence, Predictors, and Treatment of Impostor Syndrom... 2019 2026 2021 2023 2019 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Hagg United States 3 278 206 166 166 85 8 617
Angela Barney United States 8 184 0.7× 190 0.9× 69 0.4× 267 1.6× 28 0.3× 12 664
Milkie Vu United States 19 206 0.7× 209 1.0× 89 0.5× 112 0.7× 28 0.3× 60 859
Stacey A. Passalacqua United States 7 111 0.4× 296 1.4× 91 0.5× 191 1.2× 27 0.3× 11 613
Miriam E. Van Dyke United States 15 186 0.7× 188 0.9× 61 0.4× 93 0.6× 51 0.6× 31 801
Shradha S. Parsekar India 13 251 0.9× 162 0.8× 61 0.4× 80 0.5× 11 0.1× 45 664
Tsveti Markova United States 14 182 0.7× 268 1.3× 43 0.3× 200 1.2× 26 0.3× 45 835
Unai Martín Spain 17 136 0.5× 415 2.0× 62 0.4× 155 0.9× 11 0.1× 64 765
Crista E. Johnson‐Agbakwu United States 17 439 1.6× 225 1.1× 74 0.4× 364 2.2× 19 0.2× 47 1.1k
Maryam Vizheh Iran 9 412 1.5× 304 1.5× 56 0.3× 109 0.7× 20 0.2× 23 701
Erin Cameron Canada 12 93 0.3× 120 0.6× 54 0.3× 105 0.6× 31 0.4× 70 461

Countries citing papers authored by Heather Hagg

Since Specialization
Citations

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

Fields of papers citing papers by Heather Hagg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Hagg

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

All Works

8 of 8 papers shown
2.
Williams, Hants, et al.. (2023). Parsley Health: Feasibility and acceptability of a large-scale holistic telehealth program for chronic disease care. Frontiers in Digital Health. 5. 1008574–1008574. 1 indexed citations
3.
Williams, Hants, et al.. (2022). Validity of the Parsley Symptom Index—an Electronic Patient-Reported Outcomes Measure Designed for Telehealth: Prospective Cohort Study. JMIR Formative Research. 6(11). e40063–e40063. 1 indexed citations
4.
Wright, James R., et al.. (2020). Integrating behavioral health services at employer-sponsored health clinics: A descriptive analysis.. Families Systems & Health. 38(4). 346–358. 2 indexed citations
5.
Madhusudhan, Divya, et al.. (2020). An Employer-Sponsored Musculoskeletal Care Coordination Service Can Improve Clinical Outcomes and Self-Reported Productivity. Journal of Occupational and Environmental Medicine. 62(11). e651–e656. 2 indexed citations
6.
Whaley, Christopher, Megan F. Pera, Jonathan Cantor, et al.. (2020). Changes in Health Services Use Among Commercially Insured US Populations During the COVID-19 Pandemic. JAMA Network Open. 3(11). e2024984–e2024984. 278 indexed citations breakdown →
7.
Wright, James R., et al.. (2019). Integrated Physical Medicine at Employer-Sponsored Health Clinics Improves Quality of Care at Reduced Cost. Journal of Occupational and Environmental Medicine. 61(5). 382–390. 6 indexed citations
8.
Bravata, Dena M, et al.. (2019). Prevalence, Predictors, and Treatment of Impostor Syndrome: a Systematic Review. Journal of General Internal Medicine. 35(4). 1252–1275. 327 indexed citations breakdown →

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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