Lacey Raper

1.0k total citations
26 papers, 839 citations indexed

About

Lacey Raper is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Lacey Raper has authored 26 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Obstetrics and Gynecology. Recurrent topics in Lacey Raper's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cardiovascular Health and Risk Factors (6 papers) and Gestational Diabetes Research and Management (5 papers). Lacey Raper is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cardiovascular Health and Risk Factors (6 papers) and Gestational Diabetes Research and Management (5 papers). Lacey Raper collaborates with scholars based in Australia, United States and New Caledonia. Lacey Raper's co-authors include Paul Zimmet, Hilary King, Beverley Balkau, Richard Taylor, P. Ram, H. King, Graeme Sloman, David Hunt, Richard Taylor and Wilson J. Heriot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetes.

In The Last Decade

Lacey Raper

26 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lacey Raper Australia 15 435 172 155 141 131 26 839
M P Stern United States 10 312 0.7× 203 1.2× 70 0.5× 121 0.9× 107 0.8× 12 876
Pandora L. Wander United States 14 163 0.4× 102 0.6× 120 0.8× 116 0.8× 101 0.8× 42 710
Mohammad Hadi Zafarmand Netherlands 17 246 0.6× 117 0.7× 92 0.6× 449 3.2× 91 0.7× 36 966
K Thoma Australia 11 243 0.6× 78 0.5× 64 0.4× 81 0.6× 101 0.8× 15 532
Claudia Eberle Germany 16 291 0.7× 100 0.6× 51 0.3× 83 0.6× 108 0.8× 50 837
Fraser Pirie South Africa 17 539 1.2× 132 0.8× 58 0.4× 278 2.0× 228 1.7× 43 969
Madia Ricks United States 18 503 1.2× 147 0.9× 152 1.0× 410 2.9× 67 0.5× 27 966
Maryam Sattari United States 16 126 0.3× 182 1.1× 87 0.6× 253 1.8× 149 1.1× 34 848
Rubina Hakeem Pakistan 16 340 0.8× 160 0.9× 130 0.8× 141 1.0× 40 0.3× 55 756
Marianne Xhignesse Canada 14 227 0.5× 149 0.9× 74 0.5× 88 0.6× 93 0.7× 45 772

Countries citing papers authored by Lacey Raper

Since Specialization
Citations

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

Fields of papers citing papers by Lacey Raper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lacey Raper

This figure shows the co-authorship network connecting the top 25 collaborators of Lacey Raper. A scholar is included among the top collaborators of Lacey Raper 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 Lacey Raper. Lacey Raper 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
1.
Rodríguez, Jorge, Lacey Raper, Dominic E. Sanford, Nikolaos A. Trikalinos, & Chet W. Hammill. (2024). Race and Odds of Surgery Offer in Small Bowel and Pancreas Neuroendocrine Neoplasms. Annals of Surgical Oncology. 31(5). 3249–3260. 1 indexed citations
2.
Li, Dingwen, et al.. (2024). Predicting Surgical Outcomes Using Wearables. GetMobile Mobile Computing and Communications. 28(2). 17–22. 1 indexed citations
3.
Rodríguez, Jorge, Lacey Raper, Dingwen Li, et al.. (2023). Preoperative levels of physical activity can be increased in pancreatectomy patients via a remotely monitored, telephone-based intervention: A randomized trial. SHILAP Revista de lepidopterología. 15. 100212–100212. 3 indexed citations
4.
Li, Dingwen, et al.. (2022). Predicting Post-Operative Complications with Wearables. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(2). 1–27. 7 indexed citations
5.
Srivastava, Raj Kamal, Lacey Raper, Gregory A. Williams, et al.. (2022). Telemonitoring as Part of Prehabilitation: A Threshold for Daily Step Count that Predicts Improved Outcomes in Pancreatectomy Patients. HPB. 24. S379–S380. 1 indexed citations
6.
Rodríguez, Jorge, Lacey Raper, Dingwen Li, et al.. (2022). 4,300 steps per day prior to surgery are associated with improved outcomes after pancreatectomy. HPB. 25(1). 91–99. 5 indexed citations
7.
Li, Dingwen, Gregory A. Williams, Lacey Raper, et al.. (2021). Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study. Journal of Medical Internet Research. 23(3). e23595–e23595. 40 indexed citations
8.
King, H., et al.. (1986). Impaired glucose tolerance in the biethnic (Melanesian and Indian) populations of Fiji.. PubMed. 3(8). 427–32. 4 indexed citations
9.
King, Hilary, et al.. (1986). Glucose tolerance in Polynesia: Population‐based surveys in Rarotonga and Niue. The Medical Journal of Australia. 145(10). 505–510. 25 indexed citations
10.
Zimmet, Paul, et al.. (1985). Computerized assessment of self-monitored blood glucose results using a Glucometer® reflectance photometer with memory and microcomputer. Diabetes Research and Clinical Practice. 1(1). 55–63. 23 indexed citations
11.
Balkau, Beverley, Hilary King, Paul Zimmet, & Lacey Raper. (1985). FACTORS ASSOCIATED WITH THE DEVELOPMENT OF DIABETES IN THE MICRONESIAN POPULATION OF NAURU. American Journal of Epidemiology. 122(4). 594–605. 66 indexed citations
12.
King, H., Paul Zimmet, Peter H. Bennett, et al.. (1984). Glucose tolerance and ancestral genetic admixture in six semitraditional pacific populations. Genetic Epidemiology. 1(4). 315–328. 29 indexed citations
13.
King, H., Peter Heywood, Paul Zimmet, et al.. (1984). Glucose tolerance in a highland population in Papua New Guinea.. PubMed. 1(1). 45–51. 28 indexed citations
14.
King, Hilary, et al.. (1984). Non-insulin-dependent Diabetes (NIDDM) in a Newly Independent Pacific Nation: The Republic of Kiribati. Diabetes Care. 7(5). 409–415. 58 indexed citations
15.
Zimmet, Paul, H. King, Richard Taylor, et al.. (1984). The high prevalence of diabetes mellitus, impaired glucose tolerance and diabetic retinopathy in Nauru--the 1982 survey.. PubMed. 1(1). 13–8. 72 indexed citations
16.
Collins, V., Beck Taylor, Paul Zimmet, et al.. (1984). Impaired glucose tolerance in Kiribati.. PubMed. 97(768). 809–12. 7 indexed citations
17.
18.
King, H., Paul Zimmet, Lacey Raper, & Beverley Balkau. (1984). The natural history of impaired glucose tolerance in the Micronesian population of Nauru: A six-year follow-up study. Diabetologia. 26(1). 39–43. 72 indexed citations
19.
Zimmet, Paul, Richard Taylor, P. Ram, et al.. (1983). PREVALENCE OF DIABETES AND IMPAIRED GLUCOSE TOLERANCE IN THE BIRACIAL (MELANESIAN AND INDIAN) POPULATION OF FIJI: A RURAL-URBAN COMPARISON. American Journal of Epidemiology. 118(5). 673–688. 178 indexed citations
20.
Raper, Lacey, et al.. (1983). DIABETIC RETINOPATHY IN A NATURAL POPULATION. PubMed. 11(3). 175–179. 15 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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