Ting Fu

1.2k total citations · 1 hit paper
18 papers, 788 citations indexed

About

Ting Fu is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ting Fu has authored 18 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ting Fu's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Photoreceptor and optogenetics research (2 papers) and Protein Structure and Dynamics (2 papers). Ting Fu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Photoreceptor and optogenetics research (2 papers) and Protein Structure and Dynamics (2 papers). Ting Fu collaborates with scholars based in United States, Germany and China. Ting Fu's co-authors include Roy H. Perlis, Steven D. Sheridan, Carl M. Sellgren, Jessica Gracias, Jessica M. Thanos, Jennifer Wang, Carleton P. Goold, Kathleen A. Worringer, Jonathan Biag and Hannah E. Brown and has published in prestigious journals such as Nature Neuroscience, NeuroImage and Biological Psychiatry.

In The Last Decade

Ting Fu

16 papers receiving 782 citations

Hit Papers

Increased synapse elimination by microglia in schizophren... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Ting Fu
Comparison fields: 5 of 89
  • Neurology 365
  • Molecular Biology 219
  • Cellular and Molecular Neuroscience 185
  • Biological Psychiatry 169
  • Immunology 158
Replace Jessica Gracias with:
Jessica Gracias United States
Jessica M. Thanos United States
Kristin Michaelsen‐Preusse Germany
Ashley M. Kopec United States
Lay Kodama United States
Adeline Rachalski Canada
Ana del Puerto Spain
Lisa M. Schrott United States
Dominic S. Berns United States
Hannah M. Gibbons New Zealand
Jessica Gracias United States View profile →
Citations per field, relative to Ting Fu
Ting Fu · 1×
Citations per year, relative to Ting Fu
Ting Fu · 1×

Countries citing papers authored by Ting Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Fu

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 5
5 3
6 17
7 5
8 10
9 15
10 28
11 14
12
Increased synapse elimination by microglia in schizophrenia patient-derived models of synaptic pruning breakdown →
504
13 118
14 29
15 17
16 2
17 3
18 17

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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2026