Ping An

2.6k total citations
52 papers, 980 citations indexed

About

Ping An is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ping An has authored 52 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 13 papers in Genetics and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ping An's work include Genetic Associations and Epidemiology (8 papers), Neonatal Respiratory Health Research (6 papers) and Genetics and Physical Performance (5 papers). Ping An is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Neonatal Respiratory Health Research (6 papers) and Genetics and Physical Performance (5 papers). Ping An collaborates with scholars based in United States, China and Canada. Ping An's co-authors include Treva Rice, Claude Bouchard, Jack H. Wilmore, James S. Skinner, Arthur S. Leon, D. C. Rao, Jacques Gagnon, Michael R. DeBaun, Yiming Mu and Hillary B. Heins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Ping An

49 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping An United States 18 239 194 191 190 180 52 980
Laura M. Raffield United States 20 150 0.6× 61 0.3× 105 0.5× 277 1.5× 208 1.2× 79 1.1k
Grazia Cirillo Italy 25 312 1.3× 48 0.2× 168 0.9× 350 1.8× 249 1.4× 79 1.8k
A. Scarda Italy 14 327 1.4× 104 0.5× 250 1.3× 267 1.4× 64 0.4× 17 1.0k
Rosa Daniela Grembiale Italy 22 292 1.2× 142 0.7× 115 0.6× 206 1.1× 45 0.3× 70 1.2k
Hong Lin China 15 201 0.8× 82 0.4× 104 0.5× 143 0.8× 36 0.2× 47 992
George Z. Fadda United States 18 157 0.7× 109 0.6× 231 1.2× 381 2.0× 190 1.1× 51 932
Elizabeth Macy United States 10 215 0.9× 136 0.7× 122 0.6× 75 0.4× 46 0.3× 11 955
Pamela L. St. Jean United States 15 114 0.5× 325 1.7× 210 1.1× 224 1.2× 343 1.9× 19 1.1k
Naresh Gupta India 14 263 1.1× 97 0.5× 59 0.3× 107 0.6× 39 0.2× 44 1.0k
Christopher J. Womack United States 18 196 0.8× 156 0.8× 107 0.6× 156 0.8× 49 0.3× 47 956

Countries citing papers authored by Ping An

Since Specialization
Citations

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

Fields of papers citing papers by Ping An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping An

This figure shows the co-authorship network connecting the top 25 collaborators of Ping An. A scholar is included among the top collaborators of Ping An 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 Ping An. Ping An 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.
Zhao, Ying, Lei Xu, Ping An, et al.. (2025). A nomogram for predicting adverse perinatal outcome with fetal growth restriction: a prospective observational study. BMC Pregnancy and Childbirth. 25(1). 132–132. 1 indexed citations
2.
Sartorius, Kurt, Benn Sartorius, Anil A. Chuturgoon, et al.. (2024). The roles and mechanisms of miRNA in HBV-HCC carcinogenesis: Why no therapeutic agents after 30 years?. Biocell. 48(11). 1543–1567. 1 indexed citations
3.
Yu, Xin, Binqi Li, Ping An, et al.. (2024). Association of advanced glycation end products with ear lobe crease: A cross‐sectional study. Journal of Diabetes. 16(4). e13548–e13548. 2 indexed citations
4.
Nie, Yuntao, et al.. (2024). Total weight loss induces the alteration in thyroid function after bariatric surgery. Frontiers in Endocrinology. 15. 1333033–1333033. 7 indexed citations
5.
Zhao, Ying, Ping An, Yunhe Zhao, et al.. (2023). Antenatal Corticosteroid Treatment During the Late-Preterm Period and Neonatal Outcomes for Twin Pregnancies. JAMA Network Open. 6(11). e2343781–e2343781. 3 indexed citations
6.
Miljkovic, Iva, Ryan Cvejkus, Ping An, et al.. (2022). Low Risk for Developing Diabetes Among the Offspring of Individuals With Exceptional Longevity and Their Spouses. SHILAP Revista de lepidopterología. 3. 753986–753986.
7.
An, Ping, et al.. (2021). Prenatal ultrasound measurements of mild congenital pulmonary airway malformation and long‐term prognosis: A retrospective cohort study. International Journal of Gynecology & Obstetrics. 157(2). 327–332. 6 indexed citations
8.
An, Ping, Kang Chen, Anping Wang, et al.. (2020). Neck circumference is an independent risk factor for hyperuricemia within 3 years in women: a longitudinal study. Clinical Rheumatology. 39(12). 3757–3767. 6 indexed citations
9.
Wang, Jingya, Kun Chen, Xiaotian Li, et al.. (2019). Prognostic factors for cesarean section outcome of pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 1 indexed citations
10.
An, Ping, Robert J. Straka, Toni I. Pollin, et al.. (2014). Genome-wide association studies identified novel loci for non-high-density lipoprotein cholesterol and its postprandial lipemic response. Human Genetics. 133(7). 919–930. 8 indexed citations
11.
Wen, Xu, et al.. (2014). Comparisons of sarcopenia prevalence based on different diagnostic criteria in Chinese older adults. The journal of nutrition health & aging. 19(3). 342–347. 22 indexed citations
12.
Ko, Wen‐Ya, Felicia Gomez, Laura Scheinfeldt, et al.. (2013). Identifying Darwinian Selection Acting on Different Human APOL1 Variants among Diverse African Populations. The American Journal of Human Genetics. 93(1). 191–191. 2 indexed citations
13.
14.
Hamvas, Aaron, Hillary B. Heins, Susan H. Guttentag, et al.. (2008). Developmental and Genetic Regulation of Human Surfactant Protein B in vivo. Neonatology. 95(2). 117–124. 18 indexed citations
15.
An, Ping, Jessica H. Boyd, Robert C. Strunk, et al.. (2007). Major gene effect and additive familial pattern of inheritance of asthma exist among families of probands with sickle cell anemia and asthma. American Journal of Human Biology. 20(2). 149–153. 20 indexed citations
16.
Rice, Treva, Ping An, Jacques Gagnon, et al.. (2002). Heritability of HR and BP response to exercise training in the HERITAGE Family Study. Medicine & Science in Sports & Exercise. 34(6). 972–979. 59 indexed citations
17.
Feitosa, Mary F., Treva Rice, Roland Rosmond, et al.. (2002). A genetic study of cortisol measured before and after endurance training: The HERITAGE Family Study. Metabolism. 51(3). 360–365. 16 indexed citations
18.
An, Ping, Treva Rice, Jacques Gagnon, et al.. (2000). Familial Aggregation of Stroke Volume and Cardiac Output During Submaximal Exercise: The HERITAGE Family Study. International Journal of Sports Medicine. 21(8). 566–572. 37 indexed citations
19.
An, Ping, Treva Rice, Jacques Gagnon, et al.. (2000). Cross-trait familial resemblance for resting blood pressure and body composition and fat distribution: The HERITAGE family study. American Journal of Human Biology. 12(1). 32–41. 8 indexed citations
20.
An, Ping, Treva Rice, Jacques Gagnon, et al.. (2000). A genetic study of sex hormone—Binding globulin measured before and after a 20-week endurance exercise training program: The HERITAGE Family Study. Metabolism. 49(8). 1014–1020. 28 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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