Sheng Fu

60 total papers · 1.3k total citations
44 papers, 1.0k citations indexed

About

Sheng Fu is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Sheng Fu has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Sheng Fu's work include Biochemical and Molecular Research (4 papers), Advanced Optical Sensing Technologies (4 papers) and Enzyme Structure and Function (4 papers). Sheng Fu is often cited by papers focused on Biochemical and Molecular Research (4 papers), Advanced Optical Sensing Technologies (4 papers) and Enzyme Structure and Function (4 papers). Sheng Fu collaborates with scholars based in China, United States and United Kingdom. Sheng Fu's co-authors include Raymond E. Jones, R. Robinson, Deborah Defeo-Jones, Stanley F. Barnett, Hans E. Huber, Kathleen Haskell, Karen Leander, Elizabeth McAvoy, Astrid M. Kral and John Malinowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Sheng Fu

39 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
Sheng Fu 588 172 96 84 71 44 1.0k
Hak Suk Chung 564 1.0× 146 0.8× 66 0.7× 167 2.0× 102 1.4× 51 1.0k
Aiqin Jiang 309 0.5× 216 1.3× 123 1.3× 90 1.1× 83 1.2× 39 878
Jiwon Choi 527 0.9× 98 0.6× 89 0.9× 169 2.0× 57 0.8× 60 1.1k
Ming‐Yi Ho 534 0.9× 98 0.6× 120 1.3× 97 1.2× 193 2.7× 28 972
Puneet Chopra 419 0.7× 49 0.3× 87 0.9× 63 0.8× 97 1.4× 44 849
Rui Yin 528 0.9× 81 0.5× 63 0.7× 27 0.3× 101 1.4× 64 1.1k
Xiang Wu 453 0.8× 42 0.2× 116 1.2× 76 0.9× 112 1.6× 46 880
Daniel G. Rudmann 331 0.6× 54 0.3× 134 1.4× 136 1.6× 128 1.8× 28 1.0k
Anuradha Balasubramanian 364 0.6× 79 0.5× 100 1.0× 41 0.5× 77 1.1× 26 1.0k
Lauren E. Woodard 554 0.9× 69 0.4× 121 1.3× 201 2.4× 89 1.3× 39 957

Countries citing papers authored by Sheng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Fu

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