Fu Yan

994 citations
48 papers · 747 · h-index 15

Impact in

Papers in

    • Chemical Synthesis and Analysis 5
    • RNA and protein synthesis mechanisms 4
    • Genomics and Phylogenetic Studies 4
    • Microbial Natural Products and Biosynthesis 17

Fu Yan

43 papers receiving 738 citations

Peers

Fu Yan
Comparison fields: 5 of 84
  • Biotechnology 160
  • Pharmacology 243
  • Molecular Biology 457
  • Microbiology 29
  • Genetics 79
Replace Xiuyun Tian with:
Xiuyun Tian China
Mark Welch United States
Alfredo Staffa Canada
Stefan Kol Denmark
Wenjie Zeng United States
Kedar G. Patel United States
Benjamin Busch Germany
Aina Nedal Norway
Robert B. Peery United States
Eric Weber United States
Fu Yan relative to Xiuyun Tian China Xiuyun Tian's profile →
Citations per field
00.5×2.6×
Xiuyun Tian · 1×
Citations per year

Countries citing papers authored by Fu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fu Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fu Yan Line = papers co-authored together Fu Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 2012106
3 201861
4 201547
5 202242
6 201840
7 201840
8 202237
9 201523
10 201823
11 200021
12 201819
13 202118
14 201716
15 202114
16 201313
17 20109
18 20129
19 20149
20 20218

About Fu Yan

Fu Yan is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Biotechnology and Plant Science, having authored 48 papers that have together received 747 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (17 papers), Marine Sponges and Natural Products (5 papers), Chemical Synthesis and Analysis (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers), Synthetic Organic Chemistry Methods (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Biotechnology (160 citations), Pharmacology (243 citations), Molecular Biology (457 citations), Microbiology (29 citations) and Genetics (79 citations). Fu Yan has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Youming Zhang, Rolf Müller, Jeremy D. Brown, Victoria A. Doronina, Liqiu Xia, Helena Escuin-Ordinas, Martin D. Ryan, You‐Ming Zhang, Xuezhi Ding and Xiangli Zhang. Their work appears in journals such as ACS Chemical Biology, Nucleic Acids Research, Organic Letters, Current Microbiology and Gene.

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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