Fuliang Bai

992 citations
27 papers · 793 indexed · h-index 14
Topics
Virus-based gene therapy research (8 papers)Animal Virus Infections Studies (5 papers)Wastewater Treatment and Nitrogen Removal (5 papers)
Partner nations
ChinaUnited States

In The Last Decade

Fuliang Bai

27 papers receiving 772 citations

Peers

Fuliang Bai
Comparison fields: 5 of 98
  • Molecular Biology 355
  • Genetics 160
  • Epidemiology 97
  • Immunology 93
  • Oncology 89
Replace Xiaobing Jiang with:
Xiaobing Jiang China
Ivana Caputo Italy
Jian Song China
Changmin Chen United States
Zhongjun Li China
Juan Casado‐Vela Spain
Jing Qiao China
Ilaria Cimmino Italy
Dean Li China
Biao Yang China
Fuliang Bai relative to Xiaobing Jiang China Xiaobing Jiang's profile →
Citations per field
00.5×
Xiaobing Jiang · 1×
Citations per year

Countries citing papers authored by Fuliang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Fuliang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuliang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Fuliang Bai. A scholar is included among the top collaborators of Fuliang 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 Fuliang Bai. Fuliang 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
#WorkIndexed citations
1 2
2 6
3 6
4 18
5 36
6 26
7 4
8 19
9 13
10 135
11 100
12 66
13 74
14 34
15 11
16
[Effect of FGF-21 on learning and memory ability and antioxidant capacity in brain tissue of D-galactose-induced aging mice].
2
17
[The synergism and mechanism of action of rClone30-hDR5 in combination with TRAIL on HCC].
2
18 8
19 14
20
[Antitumor activity of the recombinant rClone30-CD/5-FC system].
1

About Fuliang Bai

Fuliang Bai is a scholar working on Pollution, Animal Science and Zoology and Water Science and Technology, having authored 27 papers that have together received 793 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (5 papers) and Wastewater Treatment and Nitrogen Removal (5 papers). The work is most often cited by research in Pollution (88 citations), Industrial and Manufacturing Engineering (51 citations) and Genetics (160 citations). Fuliang Bai has collaborated with scholars based in China and United States. Frequent co-authors include Guiping Ren, Yin-Hang Yu, Siming Li, Deshan Li, Wenfei Wang, Hui Tian, Qingyan Yuan, Yaonan Liu, Guiyou Tian and Deshan Li. Their work appears in journals such as The Science of The Total Environment, Journal of Hazardous Materials and Bioresource Technology.

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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