Leanne Jade G. Chan

2.7k citations
28 papers · 1.4k indexed · h-index 20
Topics
Microbial Metabolic Engineering and Bioproduction (11 papers)Plant biochemistry and biosynthesis (9 papers)Microbial Natural Products and Biosynthesis (6 papers)

In The Last Decade

Leanne Jade G. Chan

28 papers receiving 1.4k citations

Peers

Leanne Jade G. Chan
Comparison fields: 5 of 105
  • Molecular Biology 1.1k
  • Biomedical Engineering 283
  • Pharmacology 197
  • Plant Science 178
  • Biotechnology 146
Replace Bei Gao with:
Bei Gao China
G. Babnigg United States
Tong Si China
Veronica T. Benites United States
Marcus Persicke Germany
Niels Bjerg Jensen Denmark
Hyeon‐Su Ro South Korea
Amin Karmali Portugal
R.D. Seidel United States
Byung‐Gee Kim South Korea
Leanne Jade G. Chan relative to Bei Gao China Bei Gao's profile →
Citations per field
00.5×3.5×
Bei Gao · 1×
Citations per year

Countries citing papers authored by Leanne Jade G. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Leanne Jade G. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leanne Jade G. Chan. 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 Leanne Jade G. Chan. The network helps show where Leanne Jade G. Chan may publish in the future.

Co-authorship network of co-authors of Leanne Jade G. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Leanne Jade G. Chan. A scholar is included among the top collaborators of Leanne Jade G. Chan 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 Leanne Jade G. Chan. Leanne Jade G. Chan 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 3
2 11
3 67
4 29
5 14
6 155
7 159
8 118
9 34
10 23
11 43
12 18
13 28
14 36
15 19
16 115
17 38
18 69
19 37
20 132

About Leanne Jade G. Chan

Leanne Jade G. Chan is a scholar working on Biotechnology, Pharmacology and Microbiology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Plant biochemistry and biosynthesis (9 papers) and Microbial Natural Products and Biosynthesis (6 papers). The work is most often cited by research in Biotechnology (146 citations), Molecular Biology (1.1k citations) and Pharmacology (197 citations). Leanne Jade G. Chan has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Christopher J. Petzold, Jay D. Keasling, Paul D. Adams, Taek Soon Lee, Yan Chen, Edward E. K. Baidoo, George Wang, Tristan de Rond, Itay Budin and Héctor García Martín. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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