Pingping Tan

602 citations
21 papers · 438 · h-index 11

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • Animal Genetics and Reproduction 3
    • Genetic and phenotypic traits in livestock 2

Pingping Tan

21 papers receiving 428 citations

Peers

Pingping Tan
Comparison fields: 5 of 95
  • Biological Psychiatry 56
  • Behavioral Neuroscience 40
  • Genetics 160
  • Neurology 38
  • Archeology 33
Replace Mohammed S. Mustak with:
Mohammed S. Mustak India
Montserrat C. Anguera United States
Mainá Bitar Australia
Junya Masuda Japan
Shashi Prakash Singh United Kingdom
John Thompson United States
Carolina Quayle Brazil
Yasuaki Nishi Japan
Isabelle Guisle France
Jixia Liu China
Pingping Tan relative to Mohammed S. Mustak India Mohammed S. Mustak's profile →
Citations per field
00.5×
Mohammed S. Mustak · 1×
Citations per year

Countries citing papers authored by Pingping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 202251
3 201350
4 202042
5 201030
6 200722
7 201821
8 202218
9 201518
10 202114
11 202113
12 202310
13 20097
14 20127
15 20246
16 20226
17 20134
18 20083
19 20113
20 20252

About Pingping Tan

Pingping Tan is a scholar working on Molecular Biology, Genetics, Immunology, Biological Psychiatry and Behavioral Neuroscience, having authored 21 papers that have together received 438 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Stress Responses and Cortisol (3 papers), Animal Genetics and Reproduction (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Genetic and phenotypic traits in livestock (2 papers), Kawasaki Disease and Coronary Complications (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Behavioral Neuroscience (40 citations), Genetics (160 citations), Neurology (38 citations) and Archeology (33 citations). Pingping Tan has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Z. Runlin, Hua Zhong, Bing Su, Zhiguang Duan, Hao Shi, Jin Li, Jianfeng Gao, JI Jian-lin, Xu Lu and Chao Huang. Their work appears in journals such as Neuropharmacology, Journal of genetics and genomics, BMC Genomics, Journal of Colloid and Interface Science and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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