Ping Fu

49 papers receiving 2.3k citations

Peers

Ping Fu
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 406
  • Epidemiology 784
  • Hematology 211
  • Physiology 376
  • Endocrine and Autonomic Systems 97
Replace Rodrig Marculescu with:
Rodrig Marculescu Austria
Lijian Tao China
Éric Boulanger France
Mihnea‐Alexandru Găman Romania
Jürgen Geisel Germany
Weiwei Zhu China
Can Li China
Chia‐Hung Yen Taiwan
Xiang‐An Li United States
L Theodorsen Norway
Ping Fu relative to Rodrig Marculescu Austria Rodrig Marculescu's profile →
Citations per field
00.5×2.7×
Rodrig Marculescu · 1×
Citations per year

Countries citing papers authored by Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011225
2 2011211
3 2011172
4 2020161
5 2012155
6 2010155
7 2010141
8 2011132
9 2005100
10 200987
11 200784
12 201467
13 200852
14 201249
15 202146
16 201141
17 201436
18 200936
19 200734
20 201533

About Ping Fu

Ping Fu is a scholar working on Molecular Biology, Epidemiology, Physiology, Oncology and Public Health, Environmental and Occupational Health, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diet and metabolism studies (4 papers), Nutritional Studies and Diet (4 papers), Erythropoietin and Anemia Treatment (4 papers), Food Safety and Hygiene (4 papers), Child Nutrition and Water Access (3 papers), Mitochondrial Function and Pathology (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Epidemiology (784 citations), Hematology (211 citations), Physiology (376 citations) and Endocrine and Autonomic Systems (97 citations). Ping Fu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Frank A. Anania, Neeraj K. Saxena, Jamie E. Mells, Shvetank Sharma, Murat O. Arcasoy, Karen E. Welty‐Wolf, Raquel R. Bartz, Claude A. Piantadosi, Nancy Chou MacGarvey and Hagir B. Suliman. Their work appears in journals such as PLoS ONE, China CDC Weekly, American Journal of Respiratory and Critical Care Medicine, American Journal of Physiology-Gastrointestinal and Liver Physiology and Biochemical and Biophysical Research Communications.

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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