Ping An

9.0k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Ping An is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Ping An has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 10 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in Ping An's work include Genetic Associations and Epidemiology (14 papers), Genetics and Physical Performance (11 papers) and Epigenetics and DNA Methylation (5 papers). Ping An is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Genetics and Physical Performance (11 papers) and Epigenetics and DNA Methylation (5 papers). Ping An collaborates with scholars based in United States, Canada and Spain. Ping An's co-authors include Claude Bouchard, James S. Skinner, Jack H. Wilmore, Treva Rice, D. C. Rao, Louis Përusse, Arthur S. Leon, Jacques Gagnon, Michael A. Province and Ingrid B. Borecki and has published in prestigious journals such as American Journal of Clinical Nutrition, Diabetes and Journal of Applied Physiology.

In The Last Decade

Ping An

33 papers receiving 1.5k 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.

Familial aggregation ofV˙o _{2 max} response to exercise training: results from the HERITAGE Family Study

1999 646 citations Claude Bouchard, Ping An et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping An United States	17	669	555	351	312	274	33	1.5k
Paul S. Visich United States	25	691 1.0×	635 1.1×	295 0.8×	200 0.6×	388 1.4×	80	1.9k
E. Warwick Daw United States	17	677 1.0×	560 1.0×	235 0.7×	227 0.7×	458 1.7×	47	1.5k
Tuomo Rankinen United States	14	312 0.5×	527 0.9×	313 0.9×	171 0.5×	123 0.4×	26	1.2k
France T. Dionne Canada	21	771 1.2×	633 1.1×	250 0.7×	84 0.3×	348 1.3×	36	1.7k
Nadine Wachsmuth Germany	21	592 0.9×	289 0.5×	133 0.4×	215 0.7×	84 0.3×	61	1.1k
Rasmus Damsgaard Denmark	22	283 0.4×	469 0.8×	608 1.7×	710 2.3×	197 0.7×	36	1.7k
Matthew C. Kostek United States	20	298 0.4×	697 1.3×	159 0.5×	100 0.3×	698 2.5×	42	1.5k
José M. C. Soares Portugal	21	135 0.2×	344 0.6×	228 0.6×	285 0.9×	277 1.0×	38	1.5k
Hirofumi Zempo Japan	16	270 0.4×	305 0.5×	218 0.6×	48 0.2×	195 0.7×	42	883
Laura A. Garvican‐Lewis Australia	26	906 1.4×	780 1.4×	160 0.5×	363 1.2×	73 0.3×	52	2.1k

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

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20 of 20 papers shown

Liu, Yuwei, Caren E. Smith, Laurence D. Parnell, et al.. (2020). Salivary AMY1 Copy Number Variation Modifies Age-Related Type 2 Diabetes Risk. Clinical Chemistry. 66(5). 718–726. 9 indexed citations

An, Ping, Iva Miljkovic, Bharat Thyagarajan, et al.. (2013). Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: The Long Life Family Study (LLFS). Metabolism. 63(4). 461–468. 16 indexed citations

Aslibekyan, Stella, Ping An, Alexis C. Wood, et al.. (2012). Preliminary evidence of genetic determinants of adiponectin response to fenofibrate in the Genetics of Lipid Lowering Drugs and Diet Network. Nutrition Metabolism and Cardiovascular Diseases. 23(10). 987–994. 19 indexed citations

Wambach, Jennifer, Ping Yang, Daniel Wegner, et al.. (2010). Surfactant Protein-C Promoter Variants Associated With Neonatal Respiratory Distress Syndrome Reduce Transcription. Pediatric Research. 68(3). 216–220. 29 indexed citations

Manning, Alisa K., Michael P. LaValley, Ching‐Ti Liu, et al.. (2010). Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients. Genetic Epidemiology. 35(1). 11–18. 100 indexed citations

Junyent, Mireia, Laurence D. Parnell, Chao‐Qiang Lai, et al.. (2009). Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study. American Journal of Clinical Nutrition. 90(3). 686–694. 28 indexed citations

Junyent, Mireia, Donna K. Arnett, Michael Y. Tsai, et al.. (2009). Genetic Variants at the PDZ-Interacting Domain of the Scavenger Receptor Class B Type I Interact with Diet to Influence the Risk of Metabolic Syndrome in Obese Men and Women. Journal of Nutrition. 139(5). 842–848. 16 indexed citations

Junyent, Mireia, Yi‐Chung Lee, Caren E. Smith, et al.. (2009). The effect of a novel intergenic polymorphism (rs11774572) on HDL-cholesterol concentrations depends on TaqIB polymorphism in the cholesterol ester transfer protein gene. Nutrition Metabolism and Cardiovascular Diseases. 20(1). 34–40. 10 indexed citations

Warodomwichit, Daruneewan, Jian Shen, Donna K. Arnett, et al.. (2009). ADIPOQ Polymorphisms, Monounsaturated Fatty Acids, and Obesity Risk: The GOLDN Study. Obesity. 17(3). 510–517. 75 indexed citations

10.

An, Ping, Odity Mukherjee, Pritam Chanda, et al.. (2009). The challenge of detecting epistasis (G×G Interactions): Genetic Analysis Workshop 16. Genetic Epidemiology. 33(S1). S58–67. 16 indexed citations

11.

Lai, Chao‐Qiang, Laurence D. Parnell, Donna K. Arnett, et al.. (2009). WDTC1, the Ortholog of Drosophila Adipose Gene, Associates With Human Obesity, Modulated by MUFA Intake. Obesity. 17(3). 593–600. 29 indexed citations

12.

Du, Hongyan, Rachel A. Idol, Sara M. Robledo, et al.. (2007). Telomerase reverse transcriptase haploinsufficiency and telomere length in individuals with 5p– syndrome. Aging Cell. 6(5). 689–697. 24 indexed citations

13.

Yu, Kai, C. Charles Gu, Chengjie Xiong, Ping An, & Michael A. Province. (2005). Global transmission/disequilibrium tests based on haplotype sharing in multiple candidate genes. Genetic Epidemiology. 29(4). 323–335. 5 indexed citations

14.

Wangler, Michael F., Ping An, Andrew P. Feinberg, Michael A. Province, & Michael R. DeBaun. (2005). Inheritance pattern of Beckwith–Wiedemann syndrome is heterogeneous in 291 families with an affected proband. American Journal of Medical Genetics Part A. 137A(1). 16–21. 8 indexed citations

15.

An, Ping, Tuomo Rankinen, Louis Përusse, et al.. (2003). Evidence of Major Genes for Exercise Heart Rate and Blood Pressure at Baseline and in Response to 20 Weeks of Endurance Training: The HERITAGE Family Study. International Journal of Sports Medicine. 24(7). 492–498. 16 indexed citations

16.

An, Ping, Yuling Hong, S. John Weisnagel, et al.. (2003). Genomic scan of glucose and insulin metabolism phenotypes: The HERITAGE Family Study. Metabolism. 52(2). 246–253. 24 indexed citations

17.

An, Ping, Louis Përusse, Tuomo Rankinen, et al.. (2003). Familial Aggregation of Exercise Heart Rate and Blood Pressure in Response to 20 Weeks of Endurance Training: The HERITAGE Family Study. International Journal of Sports Medicine. 24(1). 57–62. 48 indexed citations

18.

An, Ping, Treva Rice, Jacques Gagnon, et al.. (2001). Population differences in the pattern of familial aggregation for sex hormone‐binding globulin and its response to exercise training: The HERITAGE family study. American Journal of Human Biology. 13(6). 832–837. 7 indexed citations

19.

An, Ping, Roland Rosmond, Ingrid B. Borecki, et al.. (2001). Genome-wide linkage scan to detect loci influencing levels of dehydroepiandrosterones in the HERITAGE Family Study. Metabolism. 50(11). 1315–1322. 6 indexed citations

20.

An, Ping, Treva Rice, Ingrid B. Borecki, et al.. (2000). Major gene effect on subcutaneous fat distribution in a sedentary population and its response to exercise training: The HERITAGE Family Study. American Journal of Human Biology. 12(5). 600–609. 8 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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