Lya Karm

1.1k total citations
10 papers, 879 citations indexed

About

Lya Karm is a scholar working on General Health Professions, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lya Karm has authored 10 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lya Karm's work include Chronic Disease Management Strategies (7 papers), Primary Care and Health Outcomes (5 papers) and Diabetes Management and Education (3 papers). Lya Karm is often cited by papers focused on Chronic Disease Management Strategies (7 papers), Primary Care and Health Outcomes (5 papers) and Diabetes Management and Education (3 papers). Lya Karm collaborates with scholars based in United States. Lya Karm's co-authors include Chad Boult, Cynthia M. Boyd, Bruce Leff, Lisa Reider, Daniel O. Scharfstein, Katherine P. Frey, Jennifer L. Wolff, Stephen T. Wegener, Jill A. Marsteller and Kevin D. Frick and has published in prestigious journals such as Analytica Chimica Acta, The Journals of Gerontology Series A and Journal of General Internal Medicine.

In The Last Decade

Lya Karm

10 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lya Karm United States 9 606 468 257 125 120 10 879
Michaela Schiøtz Denmark 16 302 0.5× 418 0.9× 199 0.8× 88 0.7× 111 0.9× 33 810
Pauline Boeckxstaens Belgium 17 408 0.7× 289 0.6× 230 0.9× 157 1.3× 102 0.8× 49 796
Deborah H. Boehm United States 11 302 0.5× 305 0.7× 191 0.7× 53 0.4× 84 0.7× 15 707
Penny Carver United States 5 441 0.7× 237 0.5× 103 0.4× 69 0.6× 115 1.0× 7 817
Daniel Maeng United States 16 477 0.8× 173 0.4× 307 1.2× 71 0.6× 96 0.8× 67 826
Lidwien Lemmens Netherlands 16 538 0.9× 570 1.2× 309 1.2× 135 1.1× 188 1.6× 42 1.1k
Antje Erler Germany 14 364 0.6× 246 0.5× 182 0.7× 66 0.5× 129 1.1× 40 658
Charlotte Paddison United Kingdom 16 603 1.0× 252 0.5× 253 1.0× 35 0.3× 180 1.5× 22 897
Amireh Ghorob United States 11 720 1.2× 308 0.7× 218 0.8× 37 0.3× 124 1.0× 16 1.0k
Sabine Ludt Germany 17 296 0.5× 179 0.4× 208 0.8× 74 0.6× 210 1.8× 35 795

Countries citing papers authored by Lya Karm

Since Specialization
Citations

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

Fields of papers citing papers by Lya Karm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lya Karm

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

All Works

10 of 10 papers shown
1.
Boult, Chad, Bruce Leff, Cynthia M. Boyd, et al.. (2013). A Matched-Pair Cluster-Randomized Trial of Guided Care for High-Risk Older Patients. Journal of General Internal Medicine. 28(5). 612–621. 74 indexed citations
2.
Marsteller, Jill A., Yea‐Jen Hsu, Jennifer L. Wolff, et al.. (2013). Effects of Guided Care on Providers' Satisfaction with Care: A Three-Year Matched-Pair Cluster-Randomized Trial. Population Health Management. 16(5). 317–325. 13 indexed citations
3.
Boult, Chad, Lisa Reider, Bruce Leff, et al.. (2011). The Effect of Guided Care Teams on the Use of Health Services. Archives of Internal Medicine. 171(5). 460–6. 184 indexed citations
4.
Marsteller, Jill A., Yea‐Jen Hsu, Lisa Reider, et al.. (2010). Physician Satisfaction with Chronic Care Processes: A Cluster-Randomized Trial of Guided Care. The Annals of Family Medicine. 8(4). 308–315. 42 indexed citations
5.
Leff, Bruce, Lisa Reider, Kevin D. Frick, et al.. (2009). Guided care and the cost of complex healthcare: a preliminary report.. PubMed. 15(8). 555–9. 86 indexed citations
6.
Boyd, Cynthia M., Lisa Reider, Katherine P. Frey, et al.. (2009). The Effects of Guided Care on the Perceived Quality of Health Care for Multi-morbid Older Persons: 18-Month Outcomes from a Cluster-Randomized Controlled Trial. Journal of General Internal Medicine. 25(3). 235–242. 128 indexed citations
7.
Boult, Chad, Lisa Reider, Katherine P. Frey, et al.. (2008). Multidimensional Geriatric Assessment: Back to the Future Early Effects of "Guided Care" on the Quality of Health Care for Multimorbid Older Persons: A Cluster-Randomized Controlled Trial. The Journals of Gerontology Series A. 63(3). 321–327. 145 indexed citations
8.
Boult, Chad, et al.. (2008). Improving Chronic Care: The “Guided Care” Model. The Permanente Journal. 12(1). 50–54. 59 indexed citations
9.
Strecher, Victor J., et al.. (2006). Web‐based Weight Management Programs in an Integrated Health Care Setting: A Randomized, Controlled Trial. Obesity. 14(2). 266–272. 142 indexed citations
10.
Karm, Lya, et al.. (1981). Selective separations by reactive ion exchange. Analytica Chimica Acta. 124(2). 365–372. 6 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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