Ting Fu

5.5k citations
158 papers · 4.1k · 1 hit paper · h-index 32

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 11
    • Rheumatoid Arthritis Research and Therapies 10
    • Advanced biosensing and bioanalysis techniques 10
    • Extracellular vesicles in disease 5

Ting Fu

150 papers receiving 4.0k citations

Ting Fu's Hit Papers

Transcriptional regulation of autophagy by an FXR–CREB axis 2014 · 362 citations
3620+4+8Years since publication100200300

Peers

Ting Fu
Comparison fields: 5 of 164
  • Biological Psychiatry 100
  • Cancer Research 434
  • Geriatrics and Gerontology 102
  • Rheumatology 431
  • Epidemiology 659
Replace Fan Jiang with:
Fan Jiang China
Maik Pietzner Germany
Wei Qiang Gao China
Fan Yang China
Jing Zhou China
Hong‐Jeng Yu Taiwan
Shabnam Salimi United States
Hui Ru Tang China
Maria B. Grant United States
Ting Fu relative to Fan Jiang China Fan Jiang's profile →
Citations per field
00.5×2×2.7×
Fan Jiang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ting Fu, 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 Ting Fu Line = papers co-authored together Ting Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019379
2
Transcriptional regulation of autophagy by an FXR–CREB axis
Hit paper breakdown →
2014362
3 2017229
4 2013223
5 2014160
6 2012137
7 2018115
8 2021108
9 201787
10 201867
11 201063
12 201660
13 201760
14 201960
15 201856
16 202056
17 201753
18 201949
19 202448
20 201746

About Ting Fu

Ting Fu is a scholar working on Rheumatology, Molecular Biology, Epidemiology, Oncology and Hepatology, having authored 158 papers that have together received 4.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), Hepatitis B Virus Studies (8 papers), MicroRNA in disease regulation (8 papers), Ocular Surface and Contact Lens (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Biological Psychiatry (100 citations), Cancer Research (434 citations), Geriatrics and Gerontology (102 citations), Rheumatology (431 citations) and Epidemiology (659 citations). Ting Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jongsook Kim Kemper, Sunmi Seok, Qiuxiang Zhang, Rulan Yin, BYRON W. KEMPER, Zhifeng Gu, Biyu Shen, YUP Y. KANG, Lijuan Zhang and Sung-E Choi. Their work appears in journals such as Psychology Health & Medicine, Nature Communications, Mucosal Immunology, Investigative Ophthalmology & Visual Science and BMC Musculoskeletal Disorders.

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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