Peiyao Cheng

4.0k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Peiyao Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Peiyao Cheng has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Surgery and 17 papers in Genetics. Recurrent topics in Peiyao Cheng's work include Diabetes Management and Research (28 papers), Pancreatic function and diabetes (22 papers) and Diabetes and associated disorders (17 papers). Peiyao Cheng is often cited by papers focused on Diabetes Management and Research (28 papers), Pancreatic function and diabetes (22 papers) and Diabetes and associated disorders (17 papers). Peiyao Cheng collaborates with scholars based in United States, China and United Kingdom. Peiyao Cheng's co-authors include Roy W. Beck, Craig Kollman, Katrina J. Ruedy, Richard M. Bergenstal, David Rodbard, Mary L. Johnson, Anders L. Carlson, William V. Tamborlane, Neil H. White and Ruth Mugge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetes.

In The Last Decade

Peiyao Cheng

48 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c

2019 324 citations Roy W. Beck, Richard M. Bergenstal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peiyao Cheng United States	21	1.3k	858	827	106	98	56	1.8k
Todd M. Gross United States	20	930 0.7×	715 0.8×	402 0.5×	242 2.3×	209 2.1×	43	1.8k
Sharief Hendricks South Africa	33	265 0.2×	565 0.7×	114 0.1×	208 2.0×	242 2.5×	161	2.9k
John W. Chow United States	31	116 0.1×	476 0.6×	144 0.2×	144 1.4×	291 3.0×	101	2.8k
Mustafa Kutlu Türkiye	19	277 0.2×	136 0.2×	50 0.1×	124 1.2×	152 1.6×	114	1.5k
Catherine A. Wood Canada	10	266 0.2×	100 0.1×	189 0.2×	39 0.4×	334 3.4×	22	1.7k
Jerry W. Swanson United States	23	128 0.1×	263 0.3×	101 0.1×	521 4.9×	196 2.0×	58	2.0k
Martin Ericsson Sweden	13	298 0.2×	246 0.3×	42 0.1×	127 1.2×	71 0.7×	43	1.0k
Ashril Yusof Malaysia	26	96 0.1×	624 0.7×	48 0.1×	256 2.4×	151 1.5×	141	2.5k
Shala E. Davis United States	22	130 0.1×	182 0.2×	68 0.1×	201 1.9×	186 1.9×	55	1.8k
Emma K. Baker Australia	28	102 0.1×	137 0.2×	646 0.8×	93 0.9×	1.3k 13.3×	61	2.9k

Countries citing papers authored by Peiyao Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Peiyao Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyao Cheng

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

All Works

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20 of 20 papers shown

Cheng, Peiyao, et al.. (2024). Priming users with babies’ gestures: Investigating the influences of priming with different development origin of image schemas in gesture elicitation study. International Journal of Human-Computer Studies. 189. 103288–103288.

Birch, David G., Peiyao Cheng, Maureen G. Maguire, et al.. (2024). Visual Acuity, Full-field Stimulus Thresholds, and Electroretinography for 4 Years in The Rate of Progression of USH2A-related Retinal Degeneration (RUSH2A) Study. SHILAP Revista de lepidopterología. 5(2). 100648–100648.

Liu, Xihui & Peiyao Cheng. (2024). Transforming mature design management to better firm performance: The importance of top management involvement. Design Studies. 95. 101276–101276.

Duncan, Jacque L., Peiyao Cheng, Maureen G. Maguire, et al.. (2023). Static Perimetry in the Rate of Progression in USH2A-related Retinal Degeneration (RUSH2A) Study: Assessment Through 2 Years. American Journal of Ophthalmology. 250. 103–110. 6 indexed citations

Wolf, Risa M., Peiyao Cheng, Robin L. Gal, et al.. (2022). Youth with type 2 diabetes have a high rate of treatment failure after discontinuation of insulin: A Pediatric Diabetes Consortium study. Pediatric Diabetes. 23(4). 439–446. 3 indexed citations

Iannaccone, Alessandro, Carmen C. Brewer, Peiyao Cheng, et al.. (2021). Auditory and olfactory findings in patients with USH2A‐related retinal degeneration—Findings at baseline from the rate of progression in USH2A‐related retinal degeneration natural history study (RUSH2A). American Journal of Medical Genetics Part A. 185(12). 3717–3727. 5 indexed citations

Bacha, Fida, Peiyao Cheng, Robin L. Gal, et al.. (2021). Racial and Ethnic Disparities in Comorbidities in Youth With Type 2 Diabetes in the Pediatric Diabetes Consortium (PDC). Diabetes Care. 44(10). 2245–2251. 15 indexed citations

Zhang, Ying, et al.. (2020). Role of alternative complement pathway overactivation in malignant nephrosclerosis. 36(1). 18–25.

Name, Michelle Van, Peiyao Cheng, Robin L. Gal, et al.. (2020). Children and adolescents with type 1 and type 2 diabetes mellitus in the Pediatric Diabetes Consortium Registries: comparing clinical characteristics and glycaemic control. Diabetic Medicine. 37(5). 863–867. 12 indexed citations

10.

Cheng, Peiyao, et al.. (2019). “Smart Home System is Like a Mother” : The Potential and Risks of Using Product Metaphors to Influence Consumers’ Comprehension of Really New Products. Figshare. 13(3). 2 indexed citations

11.

Tauschmann, Martin, Janet M. Allen, Sara Hartnell, et al.. (2019). Closed-loop insulin delivery in suboptimally controlled type 1 diabetes: a multicentre, 12-week randomised trial. Yearbook of pediatric endocrinology. 9 indexed citations

12.

Klingensmith, Georgeanna J., Stefanie Lanzinger, William V. Tamborlane, et al.. (2018). Adolescent type 2 diabetes: Comparing the Pediatric Diabetes Consortium and Germany/Austria/Luxemburg Pediatric Diabetes Prospective registries. Pediatric Diabetes. 19(7). 1156–1163. 15 indexed citations

13.

Cato, M. Allison, Nelly Mauras, Paul K. Mazaika, et al.. (2016). Longitudinal Evaluation of Cognitive Functioning in Young Children with Type 1 Diabetes over 18 Months. Journal of the International Neuropsychological Society. 22(3). 293–302. 40 indexed citations

14.

Silverstein, Janet, Peiyao Cheng, Katrina J. Ruedy, et al.. (2016). A cross-sectional view of the current state of treatment of youth with type 2 diabetes in the USA: enrollment data from the Pediatric Diabetes Consortium Type 2 Diabetes Registry. Pediatric Diabetes. 18(3). 222–229. 36 indexed citations

15.

Cato, M. Allison, Nelly Mauras, Jodie M. Ambrosino, et al.. (2014). Cognitive Functioning in Young Children with Type 1 Diabetes. Journal of the International Neuropsychological Society. 20(2). 238–247. 70 indexed citations

16.

Sherr, Jennifer L., Eva Tsalikian, Larry A. Fox, et al.. (2014). Evolution of Abnormal Plasma Glucagon Responses to Mixed-Meal Feedings in Youth With Type 1 Diabetes During the First 2 Years After Diagnosis. Diabetes Care. 37(6). 1741–1744. 48 indexed citations

17.

Tansey, Michael, Roy W. Beck, Katrina J. Ruedy, et al.. (2014). Persistently high glucose levels in young children with type 1 diabetes. Pediatric Diabetes. 17(2). 93–100. 17 indexed citations

18.

Buckingham, Bruce A., Roy W. Beck, Katrina J. Ruedy, et al.. (2013). The Effects of Inpatient Hybrid Closed-Loop Therapy Initiated Within 1 Week of Type 1 Diabetes DiagnosisDiabetes Research in Children Network (DirecNet) and Type 1 Diabetes TrialNet Study Groups . Diabetes Technology & Therapeutics. 15(5). 401–408. 15 indexed citations

19.

Barnea‐Goraly, Naama, Stuart A. Weinzimer, Katrina J. Ruedy, et al.. (2013). High success rates of sedation-free brain MRI scanning in young children using simple subject preparation protocols with and without a commercial mock scanner–the Diabetes Research in Children Network (DirecNet) experience. Pediatric Radiology. 44(2). 181–186. 93 indexed citations

20.

Haidar, Ahmad, Laurent Legault, Adèle Coriati, et al.. (2013). Glucose-responsive insulin and glucagon delivery (dual-hormone artificial pancreas) in adults with type 1 diabetes: a randomized crossover controlled trial. Canadian Medical Association Journal. 185(4). 297–305. 131 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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