Lilan Fu

455 citations
26 papers · 300 · h-index 11

Impact in

    • Peptidase Inhibition and Analysis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Protease and Inhibitor Mechanisms

Papers in

    • Peptidase Inhibition and Analysis 11
    • Cardiac Structural Anomalies and Repair 5
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2

Lilan Fu

25 papers receiving 298 citations

Peers

Lilan Fu
Comparison fields: 5 of 48
  • Oncology 175
  • Cancer Research 46
  • Radiology, Nuclear Medicine and Imaging 63
  • Surgery 89
  • Cellular and Molecular Neuroscience 37
Replace Havva Yeşil Çınkır with:
Havva Yeşil Çınkır Türkiye
Hanxiang Liu China
F Robiller Germany
Yaqing Dai China
Miriam Sraieb Germany
Özlem Nuray Sever Türkiye
Tinghua Meng China
Shan Zheng China
Bruno Gori Italy
Emil Novruzov Germany
Lilan Fu relative to Havva Yeşil Çınkır Türkiye Havva Yeşil Çınkır's profile →
Citations per field
00.5×
Havva Yeşil Çınkır · 1×
Citations per year

Countries citing papers authored by Lilan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lilan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202234
2 202228
3 202327
4 201421
5 201521
6 202218
7 202215
8 202414
9 201913
10 201611
11 201411
12 201910
13 202010
14 20179
15 20219
16 20239
17 20198
18 20207
19 20126
20 20246

About Lilan Fu

Lilan Fu is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 26 papers that have together received 300 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (11 papers), Cardiac Structural Anomalies and Repair (5 papers), Protease and Inhibitor Mechanisms (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Oncology (175 citations), Cancer Research (46 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Surgery (89 citations) and Cellular and Molecular Neuroscience (37 citations). Lilan Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kongzhen Hu, Wenlan Zhou, Hubing Wu, Shun Huang, Yanjiang Han, Ganghua Tang, Hongsheng Li, Kemin Zhou, Ying Tian and Fei Xie. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Medicine, Bioorganic Chemistry, Nuclear Medicine Communications and Journal of Medicinal Chemistry.

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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