Mary E. Lacy

971 citations
38 papers · 647 · h-index 14

Impact in

Papers in

    • Diabetes Management and Research 10
    • Diabetes Treatment and Management 3
    • Diabetes, Cardiovascular Risks, and Lipoproteins 3
    • Diabetes Management and Education 2
    • Health disparities and outcomes 4

Mary E. Lacy

35 papers receiving 629 citations

Peers

Mary E. Lacy
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 221
  • Health Information Management 25
  • Behavioral Neuroscience 13
  • Biological Psychiatry 7
  • Neurology 24
Replace S. Clavel with:
S. Clavel Canada
Merav Catalogna Israel
Mélanie Béland Canada
Xuejia Song China
Shuang Qiu China
Alan R. Jacobs United States
Lenore J. Launer United States
Naoshi Horikawa Japan
Eugenia Resmini Spain
Inge Loy-English Canada
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Citations per field
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Citations per year

Countries citing papers authored by Mary E. Lacy

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Lacy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Lacy. 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 Mary E. Lacy. The network helps show where Mary E. Lacy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 201782
3 201573
4 201859
5 201647
6 199346
7 201527
8 202124
9 202323
10 202220
11 199020
12 201920
13 201516
14 202014
15 202413
16 202112
17 201410
18 20199
19 20169
20 20248

About Mary E. Lacy

Mary E. Lacy is a scholar working on Endocrinology, Diabetes and Metabolism, Health, General Health Professions, Epidemiology and Genetics, having authored 38 papers that have together received 647 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Health disparities and outcomes (4 papers), Diabetes and associated disorders (3 papers), Primary Care and Health Outcomes (3 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Education (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (221 citations), Health Information Management (25 citations), Behavioral Neuroscience (13 citations), Biological Psychiatry (7 citations) and Neurology (24 citations). Mary E. Lacy has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Paola Gilsanz, Rachel A. Whitmer, Andrew J. Karter, Adolfo Correa, Michal Schnaider Beeri, Alain G. Bertoni, Chloe W. Eng, Charles P. Quesenberry, Haiying Chen and Valery Effoe. Their work appears in journals such as Diabetes Care, BMJ Open Diabetes Research & Care, Alzheimer Disease & Associated Disorders, Diabetes Research and Clinical Practice and Journal of the American Ceramic Society.

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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