Xiongfeng Dai

1.6k citations
28 papers · 1000 indexed · 1 hit paper · h-index 17
Topics
Bacterial Genetics and Biotechnology (19 papers)RNA and protein synthesis mechanisms (14 papers)Bacteriophages and microbial interactions (10 papers)

In The Last Decade

Xiongfeng Dai

26 papers receiving 989 citations

Hit Papers

Shaping of microbial phenotypes by trade-offs202420262025202410203040

Peers

Xiongfeng Dai
Comparison fields: 5 of 91
  • Molecular Biology 759
  • Genetics 497
  • Ecology 207
  • Materials Chemistry 63
  • Plant Science 61
Replace Manlu Zhu with:
Manlu Zhu China
Daniela Albanesi Argentina
Larisa E. Cybulski Argentina
Eric M. Knight United States
Michael H. W. Weber Germany
Matthew Hegreness United States
Tobias Bergmiller Austria
Connor A. Olson United States
Torsten Waldminghaus Germany
Alfredo Diez Sweden
Xiongfeng Dai relative to Manlu Zhu China Manlu Zhu's profile →
Citations per field
00.5×1.5×
Manlu Zhu · 1×
Citations per year

Countries citing papers authored by Xiongfeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiongfeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongfeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongfeng Dai. A scholar is included among the top collaborators of Xiongfeng Dai 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 Xiongfeng Dai. Xiongfeng Dai 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 0
2
Shaping of microbial phenotypes by trade-offsbreakdown →
41
3 13
4 1
5 41
6 4
7 13
8 75
9 12
10 30
11 60
12 28
13 12
14 18
15 46
16 23
17 36
18 213
19 129
20 5

About Xiongfeng Dai

Xiongfeng Dai is a scholar working on Genetics, Filtration and Separation and Ecology, having authored 28 papers that have together received 1000 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), RNA and protein synthesis mechanisms (14 papers) and Bacteriophages and microbial interactions (10 papers). The work is most often cited by research in Genetics (497 citations), Endocrinology (57 citations) and Molecular Biology (759 citations). Xiongfeng Dai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Manlu Zhu, Terence Hwa, Yiping Wang, M.R. Warren, Hiroyuki Okano, James R. Williamson, Kurt Fredrick, Rohan Balakrishnan, Vadim Patsalo and Daniel C. Sévin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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