Manlu Zhu

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

Manlu Zhu

26 papers receiving 989 citations

Hit Papers

Shaping of microbial phenotypes by trade-offs202420262025202410203040

Peers

Manlu Zhu
Comparison fields: 5 of 91
  • Molecular Biology 759
  • Genetics 497
  • Ecology 207
  • Materials Chemistry 63
  • Plant Science 61
Replace Xiongfeng Dai with:
Xiongfeng Dai 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
Manlu Zhu relative to Xiongfeng Dai China Xiongfeng Dai's profile →
Citations per field
00.5×1.5×
Xiongfeng Dai · 1×
Citations per year

Countries citing papers authored by Manlu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Manlu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manlu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Manlu Zhu. A scholar is included among the top collaborators of Manlu Zhu 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 Manlu Zhu. Manlu Zhu 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 Manlu Zhu

Manlu Zhu 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). Manlu Zhu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiongfeng Dai, 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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