Ann Annis

717 total citations
28 papers, 504 citations indexed

About

Ann Annis is a scholar working on General Health Professions, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Ann Annis has authored 28 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 9 papers in Epidemiology and 9 papers in Economics and Econometrics. Recurrent topics in Ann Annis's work include Primary Care and Health Outcomes (10 papers), Chronic Disease Management Strategies (8 papers) and Healthcare Policy and Management (6 papers). Ann Annis is often cited by papers focused on Primary Care and Health Outcomes (10 papers), Chronic Disease Management Strategies (8 papers) and Healthcare Policy and Management (6 papers). Ann Annis collaborates with scholars based in United States, Australia and United Kingdom. Ann Annis's co-authors include E. H. Lloyd, Michelle Cook, Debra Duquette, Sarah L. Krein, Claire Robinson, Ronald Piscotty, Terri Voepel‐Lewis, Anne Sales, Jane Forman and Wyndy L. Wiitala and has published in prestigious journals such as American Journal of Public Health, Biometrika and Medical Care.

In The Last Decade

Ann Annis

25 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Annis United States 11 135 133 77 76 76 28 504
Paolo Campanella Italy 9 216 1.6× 106 0.8× 24 0.3× 109 1.4× 19 0.3× 19 596
Xinye Qi China 12 114 0.8× 56 0.4× 94 1.2× 49 0.6× 17 0.2× 23 395
Yixiang Huang China 13 183 1.4× 86 0.6× 73 0.9× 52 0.7× 9 0.1× 50 667
Rafael Bengoa Spain 10 191 1.4× 95 0.7× 18 0.2× 42 0.6× 20 0.3× 17 497
Md Shajedur Rahman Shawon Australia 14 125 0.9× 83 0.6× 28 0.4× 32 0.4× 15 0.2× 39 746
Rosa Haghshenas Iran 13 106 0.8× 37 0.3× 53 0.7× 35 0.5× 11 0.1× 36 479
Sangita Kulathinal Finland 14 85 0.6× 58 0.4× 11 0.1× 67 0.9× 97 1.3× 59 864
Boyka Stoykova United Kingdom 12 193 1.4× 217 1.6× 17 0.2× 130 1.7× 85 1.1× 23 969
Gang Sun China 16 59 0.4× 104 0.8× 41 0.5× 13 0.2× 28 0.4× 66 665
Aaron Baum United States 12 170 1.3× 101 0.8× 11 0.1× 41 0.5× 12 0.2× 26 632

Countries citing papers authored by Ann Annis

Since Specialization
Citations

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

Fields of papers citing papers by Ann Annis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Annis

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

All Works

20 of 20 papers shown
2.
Annis, Ann, et al.. (2023). Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review. Journal of Medical Internet Research. 25. e43802–e43802.
3.
Evans, Richard, Jennifer Burns, Laura J. Damschroder, et al.. (2022). Deriving Weight From Big Data: Comparison of Body Weight Measurement–Cleaning Algorithms. JMIR Medical Informatics. 10(3). e30328–e30328. 2 indexed citations
4.
Annis, Ann & Hyokyoung G. Hong. (2022). Utilization of Medicare's chronic care management services by primary care providers. Nursing Outlook. 71(1). 101905–101905. 1 indexed citations
5.
Annis, Ann, et al.. (2022). Faculty education to improve integration of genomics education in nursing curriculum. Journal of Professional Nursing. 43. 74–82. 7 indexed citations
6.
Miech, Edward J., Richard Evans, Jennifer Burns, et al.. (2021). Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming. BMC Health Services Research. 21(1). 797–797. 23 indexed citations
7.
Deka, Pallav, et al.. (2021). Clinical Outcomes of Acute Myocardial Infarction Hospitalizations With Systemic Lupus Erythematosus: An Analysis of Nationwide Readmissions Database. Current Problems in Cardiology. 47(11). 101086–101086. 14 indexed citations
8.
Van, Tony, Ann Annis, Matheos Yosef, et al.. (2020). Nurse staffing and healthcare-associated infections in a national healthcare system that implemented a nurse staffing directive: Multi-level interrupted time series analyses. International Journal of Nursing Studies. 104. 103531–103531. 13 indexed citations
9.
Radwin, Laurel E., Howard Cabral, Barbara G. Bokhour, et al.. (2019). A scale to measure nurses’ and providers’ patient centered care in primary care settings. Patient Education and Counseling. 102(12). 2302–2309. 4 indexed citations
10.
Annis, Ann, Claire Robinson, Nicholas Yankey, et al.. (2017). Factors Associated With the Implementation of a Nurse Staffing Directive. JONA The Journal of Nursing Administration. 47(12). 636–644. 6 indexed citations
11.
Annis, Ann, Marcelline R. Harris, Claire Robinson, & Sarah L. Krein. (2016). Do Patient-Centered Medical Home Access and Care Coordination Measures Reflect the Contribution of All Team Members? A Systematic Review. Journal of Nursing Care Quality. 31(4). 357–366. 12 indexed citations
12.
Luo, Zhehui, Ann Annis, Gretchen Piatt, et al.. (2016). A Comparison of Health Plan- and Provider-Delivered Chronic Care Management Models on Patient Clinical Outcomes. Journal of General Internal Medicine. 31(7). 762–770. 8 indexed citations
13.
Piscotty, Ronald, Terri Voepel‐Lewis, Soohee Lee, et al.. (2015). Hold the phone? Nurses, social media, and patient care. Nursing. 45(5). 64–67. 4 indexed citations
14.
Yankey, Nicholas, Claire Robinson, Ann Annis, et al.. (2015). Evaluating the Veterans Health Administration's Staffing Methodology Model: A Reliable Approach.. PubMed. 33(1). 36–40, 66. 10 indexed citations
15.
Forman, Jane, et al.. (2014). First Things First: Foundational Requirements for a Medical Home in an Academic Medical Center. Journal of General Internal Medicine. 29(S2). 640–648. 28 indexed citations
16.
Annis, Ann, et al.. (2013). Four-Year Evolution of a Large, State-wide Patient-Centered Medical Home Designation Program in Michigan. Medical Care. 51(9). 846–853. 9 indexed citations
17.
Voepel‐Lewis, Terri, et al.. (2012). Empirical Review Supporting the Application of the “Pain Assessment as a Social Transaction” Model in Pediatrics. Journal of Pain and Symptom Management. 44(3). 446–457. 25 indexed citations
18.
Goddard, Katrina A.B., Debra Duquette, Amy Zlot, et al.. (2008). Public Awareness and Use of Direct-to-Consumer Genetic Tests: Results From 3 State Population-Based Surveys, 2006. American Journal of Public Health. 99(3). 442–445. 38 indexed citations
19.
Annis, Ann, et al.. (2005). Family history, diabetes, and other demographic and risk factors among participants of the National Health and Nutrition Examination Survey 1999-2002.. PubMed. 2(2). A19–A19. 114 indexed citations
20.
Annis, Ann & E. H. Lloyd. (1976). The expected value of the adjusted rescaled Hurst range of independent normal summands. Biometrika. 63(1). 111–116. 139 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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