Shun Bai

897 total citations
46 papers, 497 citations indexed

About

Shun Bai is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Shun Bai has authored 46 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Reproductive Medicine, 15 papers in Public Health, Environmental and Occupational Health and 9 papers in Molecular Biology. Recurrent topics in Shun Bai's work include Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (14 papers) and Ovarian function and disorders (6 papers). Shun Bai is often cited by papers focused on Sperm and Testicular Function (18 papers), Reproductive Biology and Fertility (14 papers) and Ovarian function and disorders (6 papers). Shun Bai collaborates with scholars based in China, United States and Australia. Shun Bai's co-authors include Weibin Bai, Feiyan Zou, Jianxia Sun, Xinwei Jiang, Bo Xu, Mingwei Li, Rui Jiao, Zhijian Su, Xianhong Tong and Lan Ye and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Shun Bai

41 papers receiving 493 citations

Peers

Shun Bai
Comparison fields: 5 of 90
  • Reproductive Medicine 161
  • Molecular Biology 92
  • Obstetrics and Gynecology 86
  • Public Health, Environmental and Occupational Health 80
  • Food Science 66
Replace Rafał Stojko with:
Rafał Stojko Poland
Bita Badehnoosh Iran
Laurie Henry Belgium
Okan Özkaya Türkiye
Ratna Chatterjee United Kingdom
Maria Luisa Casini Italy
Mingzhu Ye China
Seyed Gholam Ali Jorsaraei Iran
Korosh Khanaki Iran
Yeqing Zhang China
Rafał Stojko Poland View profile →
Citations per field, relative to Shun Bai
Shun Bai · 1×
Citations per year, relative to Shun Bai
Shun Bai · 1×

Countries citing papers authored by Shun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Shun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Bai. A scholar is included among the top collaborators of Shun Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun Bai. Shun Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 0
6 0
7 3
8 3
9 0
10 16
11 1
12 36
13 17
14 82
15 2
16 10
17 9
18 13
19
Plumbum/zinc accumulation in seedlings of six afforestation species cultivated in mine spoil substrate.
5
20 14

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026