Ping Tai

1.0k citations
12 papers · 853 · h-index 9

Impact in

  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • Toxin Mechanisms and Immunotoxins
    • Endometriosis Research and Treatment

Papers in

Ping Tai

12 papers receiving 835 citations

Peers

Ping Tai
Comparison fields: 5 of 89
  • Immunology 368
  • Reproductive Medicine 106
  • Obstetrics and Gynecology 56
  • Public Health, Environmental and Occupational Health 149
  • Genetics 138
Replace Michael T. Rae with:
Michael T. Rae United Kingdom
Wipawee Winuthayanon United States
Jerzy Trojnar Sweden
Christian Schmitt France
Chunyan He United States
Wolfgang E. Merz Germany
Margaret A. Mobberley United Kingdom
Maya D. Srivastava United States
A. Teíchmann Germany
Ping Tai relative to Michael T. Rae United Kingdom Michael T. Rae's profile →
Citations per field
00.5×3.1×
Michael T. Rae · 1×
Citations per year

Countries citing papers authored by Ping Tai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007282
2 1986229
3 2010134
4 200858
5 199355
6 202043
7 201818
8 200813
9 20089
10 20087
11 20243
12 20092

About Ping Tai

Ping Tai is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Surgery, Molecular Biology and Agronomy and Crop Science, having authored 12 papers that have together received 853 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (3 papers), Reproductive Biology and Fertility (3 papers), Reproductive Physiology in Livestock (3 papers), Ovarian function and disorders (2 papers), Cholesterol and Lipid Metabolism (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Immunology (368 citations), Reproductive Medicine (106 citations), Obstetrics and Gynecology (56 citations), Public Health, Environmental and Occupational Health (149 citations) and Genetics (138 citations). Ping Tai has collaborated with scholars based in China and United States. Frequent co-authors include Lee E. Faber, Guoliang Xia, Najib G. Wakim, Kiyohide Nakao, Yoshiaki Maeda, John L. Duhring, Junpeng Wang, Youmin Kang, Jun Yan and Xiufen Chen. Their work appears in journals such as Reproduction Fertility and Development, Biochemistry, Biological and Pharmaceutical Bulletin, Diabetes and Endocrinology.

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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