Sha Fu

2.3k citations
78 papers · 1.2k indexed · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 11
    • Pancreatic and Hepatic Oncology Research 5
    • Lung Cancer Research Studies 5

Sha Fu

72 papers receiving 1.2k citations

Peers

Sha Fu
Comparison fields: 5 of 102
  • Cancer Research 263
  • Oncology 372
  • Nephrology 94
  • Immunology 228
  • Pulmonary and Respiratory Medicine 269
Replace Ping L. Zhang with:
Ping L. Zhang United States
Yanyan Zhou China
Hideki Inoue Japan
Radek Kučera Czechia
Hyunee Yim South Korea
Shahin Hajizadeh Sweden
Sanna Siitonen Finland
Daniel P. Nguyen United States
Florian Bösch Germany
Sha Fu relative to Ping L. Zhang United States Ping L. Zhang's profile →
Citations per field
00.5×3.9×
Ping L. Zhang · 1×
Citations per year

Countries citing papers authored by Sha Fu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20243
4 202424
5 20240
6 20240
7 20241
8 20246
9 20240
10 20241
11 20236
12 202321
13 202021
14 201924
15 201882
16 201720
17 201518
18 201413
19
Clinical features and mortality in Chinese with lupus nephritis and neuropsychiatric lupus: A 124-patient study
20148
20 201322

About Sha Fu

Sha Fu is a scholar working on Nephrology, Oncology, Cancer Research, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Cancer Immunotherapy and Biomarkers (11 papers), Cancer-related molecular mechanisms research (7 papers), Pancreatic and Hepatic Oncology Research (5 papers), MicroRNA in disease regulation (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (5 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Cancer Research (263 citations), Oncology (372 citations), Nephrology (94 citations), Immunology (228 citations) and Pulmonary and Respiratory Medicine (269 citations). Sha Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haiyun Wang, Shuhan Sun, Jian Zhang, Jian‐Yong Shao, Anping Xu, Yixin Zhou, Xuanye Zhang, Ying Tang, Shaodong Hong and Junzhe Chen. Their work appears in journals such as Frontiers in Immunology, Lung Cancer, BMC Nephrology, Journal for ImmunoTherapy of Cancer and Journal of Translational Medicine.

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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