Anusha M. Vable

1.0k citations
41 papers · 739 · h-index 16

Impact in

  • Health top 5%
    • Health disparities and outcomes
    • Primary Care and Health Outcomes
    • Food Security and Health in Diverse Populations
    • Employment and Welfare Studies

Papers in

    • Global Health Care Issues 4
    • Primary Care and Health Outcomes 3
    • Employment and Welfare Studies 3
    • Health disparities and outcomes 10

Anusha M. Vable

36 papers receiving 719 citations

Peers

Anusha M. Vable
Comparison fields: 5 of 82
  • Health 121
  • General Health Professions 228
  • Neuropsychology and Physiological Psychology 8
  • Clinical Psychology 99
  • Psychiatry and Mental health 61
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Citations per year

Countries citing papers authored by Anusha M. Vable

Since Specialization
Citations

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

Fields of papers citing papers by Anusha M. Vable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anusha M. Vable. 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 Anusha M. Vable. The network helps show where Anusha M. Vable may publish in the future.

Co-authors

The 25 scholars most cited alongside Anusha M. Vable, 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 Anusha M. Vable Line = papers co-authored together Anusha M. Vable links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201268
2 201058
3 201755
4 201453
5 201352
6 201350
7 201843
8 201742
9
Undergoing transformation to the patient centered medical home in safety net health centers: perspectives from the front lines.
201338
10 201134
11 202125
12 202022
13 202020
14 202317
15 201816
16 201515
17 201914
18 201913
19 202313
20 201911

About Anusha M. Vable

Anusha M. Vable is a scholar working on General Health Professions, Health, Sociology and Political Science, Pediatrics, Perinatology and Child Health and Demography, having authored 41 papers that have together received 739 indexed citations. Recurring topics across this work include Health disparities and outcomes (10 papers), Global Health Care Issues (4 papers), Intergenerational and Educational Inequality Studies (4 papers), Primary Care and Health Outcomes (3 papers), Employment and Welfare Studies (3 papers), Birth, Development, and Health (3 papers), Advanced Causal Inference Techniques (2 papers) and Retirement, Disability, and Employment (2 papers). The work is most often cited by research in Health (121 citations), General Health Professions (228 citations), Neuropsychology and Physiological Psychology (8 citations), Clinical Psychology (99 citations) and Psychiatry and Mental health (61 citations). Anusha M. Vable has collaborated with scholars based in United States, Norway and Italy. Frequent co-authors include M. Maria Glymour, Thu T. Nguyen, S. V. Subramanian, Marshall H. Chin, Elbert S. Huang, Hui Tang, Ichiro Kawachi, Paola Gilsanz, Alison K. Cohen and Irene H. Yen. Their work appears in journals such as American Journal of Epidemiology, SSM - Population Health, JAMA Network Open, Journal of General Internal Medicine and PLoS ONE.

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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