Yingmei Fu

1.8k total citations
77 papers, 1.3k citations indexed

About

Yingmei Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Yingmei Fu has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 12 papers in Epidemiology. Recurrent topics in Yingmei Fu's work include Neuroscience and Neuropharmacology Research (12 papers), Antibiotic Resistance in Bacteria (11 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Yingmei Fu is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Antibiotic Resistance in Bacteria (11 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Yingmei Fu collaborates with scholars based in China, United States and Japan. Yingmei Fu's co-authors include Shunying Yu, Xiaobei Chen, Jianling Chen, Xiaohong Li, Fengmin Zhang, Ying Huang, Zheng Ren, Weidong Yang, Jochen Cals and Yi Dong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Carbon.

In The Last Decade

Yingmei Fu

67 papers receiving 1.3k citations

Peers

Yingmei Fu
Comparison fields: 5 of 122
  • Molecular Biology 483
  • Molecular Medicine 231
  • Cellular and Molecular Neuroscience 210
  • Epidemiology 180
  • Applied Microbiology and Biotechnology 178
Elisabetta Gerace Italy
María Gómez‐Ruíz Spain
Pankaj Baral United States
Kimberly Moran United States
Liu Pin China
Saba Riaz Pakistan
Elizabeth A. Lobos United States
Masatoshi Tanaka Japan
Henry L. Schreiber United States
Vera Schwierzeck Germany
Elisabetta Gerace Italy View profile →
Citations per field, relative to Yingmei Fu
Yingmei Fu · 1×
Citations per year, relative to Yingmei Fu
Yingmei Fu · 1×

Countries citing papers authored by Yingmei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yingmei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingmei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingmei Fu. A scholar is included among the top collaborators of Yingmei 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 Yingmei Fu. Yingmei Fu 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 1
2 2
3 2
4 2
5 14
6 3
7 5
8 10
9
Novel biomarkers containing citrullinated peptides for diagnosis of systemic lupus erythematosus using protein microarrays.
6
10 34
11 29
12 6
13 22
14 66
15 185
16 15
17 15
18 21
19 1
20 22

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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