Tiao Bu

441 citations
24 papers · 340 · h-index 12

Impact in

Papers in

Tiao Bu

23 papers receiving 337 citations

Peers

Tiao Bu
Comparison fields: 5 of 71
  • Reproductive Medicine 132
  • Health, Toxicology and Mutagenesis 91
  • Behavioral Neuroscience 11
  • Public Health, Environmental and Occupational Health 72
  • Physiology 10
Replace Pramod K. Yadav with:
Pramod K. Yadav India
Anumegha Gupta India
Mami Miyoshi Japan
Gabriel Adan Araújo Leite Brazil
Liliana Matos Portugal
Alberto Martín Guzmán‐Grenfell Mexico
Hossein Nikzad Iran
Ruth De Célis Mexico
Dongzhi Yuan China
William Giglio United States
Tiao Bu relative to Pramod K. Yadav India Pramod K. Yadav's profile →
Citations per field
00.5×11×
Pramod K. Yadav · 1×
Citations per year

Countries citing papers authored by Tiao Bu

Since Specialization
Citations

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

Fields of papers citing papers by Tiao Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201467
2 201435
3 202034
4 202027
5 202219
6 202119
7 202117
8 201515
9 202314
10 202114
11 202114
12 202213
13 201810
14 20227
15 20247
16 20237
17 20216
18 20244
19 20244
20 20243

About Tiao Bu

Tiao Bu is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Cell Biology and Genetics, having authored 24 papers that have together received 340 indexed citations. Recurring topics across this work include Sperm and Testicular Function (15 papers), Reproductive Biology and Fertility (8 papers), Hormonal and reproductive studies (3 papers), Renal and related cancers (3 papers), Urologic and reproductive health conditions (2 papers), Microtubule and mitosis dynamics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Reproductive Medicine (132 citations), Health, Toxicology and Mutagenesis (91 citations), Behavioral Neuroscience (11 citations), Public Health, Environmental and Occupational Health (72 citations) and Physiology (10 citations). Tiao Bu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include C. Yan Cheng, Fei Sun, Lingling Wang, Xiaolong Wu, Linxi Li, Ren‐Shan Ge, Baiping Mao, Sheng Gao, Chris K.C. Wong and Yuanyuan Shan. Their work appears in journals such as Endocrinology, Seminars in Cell and Developmental Biology, Reproductive Biology and Endocrinology, American Journal of Physiology-Cell Physiology and Journal of genetics and genomics.

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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