Hui Fan

427 total citations
27 papers, 340 citations indexed

About

Hui Fan is a scholar working on Molecular Biology, Organic Chemistry and Ecology. According to data from OpenAlex, Hui Fan has authored 27 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Organic Chemistry and 4 papers in Ecology. Recurrent topics in Hui Fan's work include Catalytic C–H Functionalization Methods (6 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Community Ecology and Physiology (4 papers). Hui Fan is often cited by papers focused on Catalytic C–H Functionalization Methods (6 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Community Ecology and Physiology (4 papers). Hui Fan collaborates with scholars based in China, Australia and Germany. Hui Fan's co-authors include Mindy H. Hsieh, Jean‐Louis Schwartz, Raffi V. Aroian, Nicole Kloft, Ferdinand C. O. Los, Matthias Husmann, Cheng–Yuan Kao, Shinichiro Wachi, Partho Ghosh and Audrey Bellier and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of Organic Chemistry.

In The Last Decade

Hui Fan

25 papers receiving 335 citations

Peers

Hui Fan
Comparison fields: 5 of 77
  • Molecular Biology 143
  • Organic Chemistry 78
  • Food Science 51
  • Plant Science 47
  • Aging 44
Replace Ting Tang with:
Ting Tang China
Martin A. Wälti Switzerland
Ke-Qin Zhang China
Moriyuki Kawauchi Japan
Máté Virágh Hungary
Dimitrios A. Anagnostopoulos Greece
Corrado Nai Germany
Mengnan An China
Chaoyi Song China
Duc‐Cuong Bui United States
Ting Tang China View profile →
Citations per field, relative to Hui Fan
Hui Fan · 1×
Citations per year, relative to Hui Fan
Hui Fan · 1×

Countries citing papers authored by Hui Fan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Fan. A scholar is included among the top collaborators of Hui Fan 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 Hui Fan. Hui Fan 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 2
3 3
4 1
5 1
6 2
7 11
8 8
9 11
10 7
11 9
12 3
13 4
14 6
15
[Characterization and microbial community shifts of rice strawdegrading microbial consortia].
1
16 16
17 19
18 133
19
[Bioinformatics scan analysis for predicting drug targeted modulation on ID4 gene expression].
1
20 1

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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