Bin Tong

1.5k citations
64 papers · 830 · h-index 16

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 20
    • Genetic Mapping and Diversity in Plants and Animals 9
    • Animal Genetics and Reproduction 8
    • Peroxisome Proliferator-Activated Receptors 7

Bin Tong

62 papers receiving 808 citations

Peers

Bin Tong
Comparison fields: 5 of 119
  • Radiological and Ultrasound Technology 33
  • Agronomy and Crop Science 59
  • Genetics 147
  • Animal Science and Zoology 47
  • Cancer Research 62
Replace Takako Shibata with:
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Bin Tong relative to Takako Shibata Japan Takako Shibata's profile →
Citations per field
00.5×10×15×
Takako Shibata · 1×
Citations per year

Countries citing papers authored by Bin Tong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 200561
3 201357
4
Comorbidity of cardiovascular disease, diabetes and chronic kidney disease in Australia
200751
5 202448
6 201432
7 202030
8 201929
9 200127
10 202125
11 200525
12 202225
13 201422
14 201720
15 202119
16 201317
17 202215
18 201515
19 202114
20 201614

About Bin Tong

Bin Tong is a scholar working on Genetics, Molecular Biology, Physiology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 830 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Animal Genetics and Reproduction (8 papers), Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Cancer-related molecular mechanisms research (6 papers), Reproductive Biology and Fertility (6 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (33 citations), Agronomy and Crop Science (59 citations), Genetics (147 citations), Animal Science and Zoology (47 citations) and Cancer Research (62 citations). Bin Tong has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Takahisa Yamada, Chris Stevenson, Takeshi Ohta, Anne Kavanagh, Yoshiaki Katsuda, Paul A. Agius, Ruth McNair, Tomohiko Sasase, Katsuhiro Miyajima and Masami Shinohara. Their work appears in journals such as Animals, Veterinary Sciences, Meat Science, Theriogenology and Annals of Animal Science.

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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