Ping An

9.1k citations
34 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

    • Genetics and Physical Performance 11
    • Genetic Associations and Epidemiology 10
    • Physical Activity and Health 4
    • Adipose Tissue and Metabolism 3

Ping An

34 papers receiving 1.6k citations

Ping An's Hit Papers

Familial aggregation ofV˙o 2 max response to exercise training: results from the HERITAGE Family Study 1999 · 682 citations
6820+9+18Years since publication200400600

Peers

Ping An
Comparison fields: 5 of 107
  • Complementary and alternative medicine 257
  • Orthopedics and Sports Medicine 239
  • Genetics 663
  • Physiology 428
  • Cardiology and Cardiovascular Medicine 292
Replace Simone Porcelli with:
Simone Porcelli Italy
Kazushige Goto Japan
Gregory Collier Australia
Laurence Mille-Hamard France
Alex Castro Brazil
Sandra J. Peters Canada
Maria Paula Mota Portugal
Eisuke Ochi Japan
David Higgins United States
Anne‐Marie Lundsgaard Denmark
Ping An relative to Simone Porcelli Italy Simone Porcelli's profile →
Citations per field
00.5×3.7×
Simone Porcelli · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Familial aggregation ofV˙o 2 max response to exercise training: results from the HERITAGE Family Study
Hit paper breakdown →
1999682
2 2000144
3 2010100
4 200394
5 200976
6 200556
7 200353
8 200546
9 201033
10 201331
11 200231
12 200930
13 200928
14 200728
15 200325
16 201821
17 201719
18 201219
19 200918
20 200917

About Ping An

Ping An is a scholar working on Genetics, Physiology, Molecular Biology, Surgery and Epidemiology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics and Physical Performance (11 papers), Genetic Associations and Epidemiology (10 papers), Muscle metabolism and nutrition (4 papers), Epigenetics and DNA Methylation (4 papers), Physical Activity and Health (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Adipose Tissue and Metabolism (3 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Complementary and alternative medicine (257 citations), Orthopedics and Sports Medicine (239 citations), Genetics (663 citations), Physiology (428 citations) and Cardiology and Cardiovascular Medicine (292 citations). Ping An has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Claude Bouchard, James S. Skinner, Jack H. Wilmore, Treva Rice, Louis Përusse, D. C. Rao, Arthur S. Leon, Jacques Gagnon, Michael A. Province and Ingrid B. Borecki. Their work appears in journals such as International Journal of Sports Medicine, Metabolism, Genetic Epidemiology, Obesity and Nutrition Metabolism and Cardiovascular Diseases.

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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