Fanglong Wu

40 papers receiving 1.5k citations

Fanglong Wu's Hit Papers

TGF-β signaling in the tumor metabolic microenvironment and targeted therapies 2022 · 167 citations
1670+1+3Years since publication100200300400500

Peers

Fanglong Wu
Comparison fields: 5 of 104
  • Cancer Research 360
  • Otorhinolaryngology 78
  • Oncology 475
  • Immunology 291
  • Molecular Biology 551
Replace Laikui Liu with:
Laikui Liu China
Koichi Sakakura Japan
Dongmiao Wang China
Eri Sasabe Japan
Christina Springstead Scanlon United States
Z. J. Shang China
Wei‐Lun Hwang Taiwan
Takahito Fukusumi Japan
Maria Nyström Sweden
Richard J. Bauer Germany
Fanglong Wu relative to Laikui Liu China Laikui Liu's profile →
Citations per field
00.5×1.5×
Laikui Liu · 1×
Citations per year

Countries citing papers authored by Fanglong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fanglong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signaling pathways in cancer-associated fibroblasts and targeted therapy for cancer
Hit paper breakdown →
2021541
2
TGF-β signaling in the tumor metabolic microenvironment and targeted therapies
Hit paper breakdown →
2022167
3 2020139
4 202176
5 201759
6 202049
7 201544
8 201940
9 201935
10 201833
11 202331
12 201431
13 201827
14 202127
15 201822
16 201521
17 202220
18 201919
19 202218
20 202110

About Fanglong Wu

Fanglong Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Otorhinolaryngology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (6 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers), Immune cells in cancer (4 papers), Oral health in cancer treatment (4 papers), Oral Health Pathology and Treatment (4 papers) and Oral and Maxillofacial Pathology (3 papers). The work is most often cited by research in Cancer Research (360 citations), Otorhinolaryngology (78 citations), Oncology (475 citations), Immunology (291 citations) and Molecular Biology (551 citations). Fanglong Wu has collaborated with scholars based in China, United States and Myanmar. Frequent co-authors include Hongmei Zhou, Jin Yang, Qingxiang Zeng, Junjiang Liu, Jingtian Mu, Ye Wang, Xueke Shi, Xiao‐Jing Wang, Qinghong Gao and Tao Hu. Their work appears in journals such as Cochrane Database of Systematic Reviews, Oral Diseases, Archives of Oral Biology, International Journal of Oral Science and European Journal of Neurology.

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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