Shengling Fu

1.0k citations
35 papers · 782 · h-index 14

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer-related molecular mechanisms research

Papers in

    • Cytokine Signaling Pathways and Interactions 10
    • Lung Cancer Research Studies 2
    • Lung Cancer Diagnosis and Treatment 5
    • Lung Cancer Treatments and Mutations 5
    • Gastric Cancer Management and Outcomes 3

Shengling Fu

35 papers receiving 776 citations

Peers

Shengling Fu
Comparison fields: 5 of 72
  • Oncology 349
  • Cancer Research 124
  • Immunology 124
  • Pulmonary and Respiratory Medicine 139
  • Molecular Biology 237
Replace Amikar Sehdev with:
Amikar Sehdev United States
Christian Dierkes Germany
Taro Ueo Japan
Eirini Bournazou United States
M Buscemi Italy
Zongjuan Li China
Fanzheng Meng China
Yu‐zhong Duan China
Bao Song China
Xiaoqin Yang China
Shengling Fu relative to Amikar Sehdev United States Amikar Sehdev's profile →
Citations per field
00.5×1.5×
Amikar Sehdev · 1×
Citations per year

Countries citing papers authored by Shengling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shengling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 201668
3 201965
4 201958
5 201447
6 201847
7 201346
8 201730
9 201825
10 201620
11 202019
12 201418
13 201617
14 202114
15 201513
16 201813
17 201412
18 201412
19 201512
20 20168

About Shengling Fu

Shengling Fu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Pathology and Forensic Medicine, having authored 35 papers that have together received 782 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Estrogen and related hormone effects (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Oncology (349 citations), Cancer Research (124 citations), Immunology (124 citations), Pulmonary and Respiratory Medicine (139 citations) and Molecular Biology (237 citations). Shengling Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiayuh Lin, Yixin Cai, Xiangning Fu, Ni Zhang, Lequn Li, Jianjian Yang, Xiang 'Anthony' Chen, Yi Gao, Hui‐Wen Lo and Yongde Liao. Their work appears in journals such as Oncotarget, Oncology Reports, BMC Surgery, Tumor Biology and Scientific Reports.

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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