Fang Yan

36 total papers · 898 total citations
30 papers, 751 citations indexed

About

Fang Yan is a scholar working on Molecular Biology, Food Science and Organic Chemistry. According to data from OpenAlex, Fang Yan has authored 30 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Food Science and 5 papers in Organic Chemistry. Recurrent topics in Fang Yan's work include Natural product bioactivities and synthesis (4 papers), Biochemical and Structural Characterization (3 papers) and Chemical Synthesis and Analysis (3 papers). Fang Yan is often cited by papers focused on Natural product bioactivities and synthesis (4 papers), Biochemical and Structural Characterization (3 papers) and Chemical Synthesis and Analysis (3 papers). Fang Yan collaborates with scholars based in China, United States and United Kingdom. Fang Yan's co-authors include Jin Zhou, Jinbao Tang, Meihua Qu, Wenjing Li, Hui Zhou, Shu-E Deng, Bo Song, Weifen Zhang, Xinjian Li and Baolong Zhou and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Carbohydrate Polymers.

In The Last Decade

Fang Yan

30 papers receiving 743 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Yan 343 191 112 85 80 30 751
Mosae Selvakumar Paulraj 280 0.8× 147 0.8× 73 0.7× 89 1.0× 98 1.2× 49 641
Lai‐Hock Tey 519 1.5× 212 1.1× 88 0.8× 55 0.6× 90 1.1× 34 842
Suresh Gohil 252 0.7× 185 1.0× 119 1.1× 62 0.7× 155 1.9× 37 875
Horng‐Huey Ko 277 0.8× 213 1.1× 52 0.5× 106 1.2× 81 1.0× 41 811
Patrícia S. Melo 201 0.6× 246 1.3× 67 0.6× 51 0.6× 71 0.9× 36 801
Marieta L.C. Passos 214 0.6× 175 0.9× 211 1.9× 123 1.4× 66 0.8× 43 757
Riham El Kurdi 250 0.7× 124 0.6× 104 0.9× 81 1.0× 146 1.8× 38 658
Sukhvir Kaur Bhangu 234 0.7× 135 0.7× 219 2.0× 55 0.6× 77 1.0× 30 658
Aleksandar Széchenyi 460 1.3× 88 0.5× 156 1.4× 67 0.8× 52 0.7× 47 906
Snehasis Mishra 320 0.9× 161 0.8× 162 1.4× 38 0.4× 78 1.0× 25 734

Countries citing papers authored by Fang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yan. A scholar is included among the top collaborators of Fang Yan 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 Fang Yan. Fang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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