Ai Fu

510 citations
48 papers · 375 · h-index 11

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 6
    • Sepsis Diagnosis and Treatment 5
    • Pneumonia and Respiratory Infections 4
    • Mycobacterium research and diagnosis 4
    • Pneumocystis jirovecii pneumonia detection and treatment 3

Ai Fu

44 papers receiving 367 citations

Peers

Ai Fu
Comparison fields: 5 of 79
  • Biological Psychiatry 16
  • Behavioral Neuroscience 14
  • Developmental Neuroscience 13
  • Cellular and Molecular Neuroscience 52
  • Neurology 20
Replace Dalia K. Mostafa with:
Dalia K. Mostafa Egypt
Zhiyuan Wang China
Gonzalo Artiach Sweden
Fatih Sefil Türkiye
Michalina Kot Poland
Nihal Cetin Türkiye
Turhan Dost Türkiye
Benjamin Buaud France
Navid Abedpoor Iran
Jiang Xue China
Ai Fu relative to Dalia K. Mostafa Egypt Dalia K. Mostafa's profile →
Citations per field
00.5×1.5×2.5×
Dalia K. Mostafa · 1×
Citations per year

Countries citing papers authored by Ai Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 200440
3 201931
4 200627
5 200627
6 200523
7 200514
8 202214
9 202112
10
Serum CHI3L1 as a Biomarker for Non-invasive Diagnosis of Liver Fibrosis.
202212
11 202410
12 201910
13 20249
14 20228
15 20198
16 20077
17 20246
18 20205
19 20235
20 20225

About Ai Fu

Ai Fu is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine and Oncology, having authored 48 papers that have together received 375 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Antifungal resistance and susceptibility (5 papers), Sepsis Diagnosis and Treatment (5 papers), Pneumonia and Respiratory Infections (4 papers), Mycobacterium research and diagnosis (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Behavioral Neuroscience (14 citations), Developmental Neuroscience (13 citations), Cellular and Molecular Neuroscience (52 citations) and Neurology (20 citations). Ai Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiang Chen, Qian Li, Xiaobing Dou, Songtao Li, Qinchao Ding, Hai Zhang, Qian Li, Lei Yu, Chuan Su and Jianfeng Bao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Pharmacology, Clinical Laboratory, Journal of Agricultural and Food Chemistry and Journal of Functional Foods.

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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