Fei Su

646 citations
27 papers · 330 · h-index 11

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Cancer-related Molecular Pathways
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • Advanced Breast Cancer Therapies 12
    • HER2/EGFR in Cancer Research 5
    • Lung Cancer Research Studies 5
    • Cancer-related Molecular Pathways 4
    • Cancer Treatment and Pharmacology 2

Fei Su

27 papers receiving 323 citations

Peers

Fei Su
Comparison fields: 5 of 52
  • Cancer Research 145
  • Oncology 190
  • Pulmonary and Respiratory Medicine 190
  • Genetics 48
  • Public Health, Environmental and Occupational Health 42
Replace Timo Quante with:
Timo Quante United Kingdom
Shuyuan Xian China
Xuan Dung Ho Vietnam
Stine Kiær Larsen Denmark
Chun Zhang China
Areege Mustafa Kamal Iraq
Ilona Spyra Germany
Amy E. Schade United States
Lucia Torres Fernández Germany
Iwona Osińska Poland
Fei Su relative to Timo Quante United Kingdom Timo Quante's profile →
Citations per field
00.5×7.9×
Timo Quante · 1×
Citations per year

Countries citing papers authored by Fei Su

Since Specialization
Citations

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

Fields of papers citing papers by Fei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 202035
3 202124
4 202323
5 201919
6 201816
7 201216
8 202313
9 201611
10 201910
11 202010
12 20209
13 20238
14 20198
15 20217
16 20235
17 20195
18 20244
19 20224
20 20223

About Fei Su

Fei Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 27 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (12 papers), Cancer Genomics and Diagnostics (7 papers), HER2/EGFR in Cancer Research (5 papers), Lung Cancer Research Studies (5 papers), Cancer-related Molecular Pathways (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Cancer Research (145 citations), Oncology (190 citations), Pulmonary and Respiratory Medicine (190 citations), Genetics (48 citations) and Public Health, Environmental and Occupational Health (42 citations). Fei Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Nadia Solovieff, Naveen Babbar, Tetiana Taran, Agnes Lteif, Anwesha Chaudhury, Laia Paré, Fara Brasó‐Maristany, Núria Chic, Eduardo Martínez de Dueñas and Olga Martínez‐Sáez. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Dose-Response, Cancer Research and Clinical Cancer Research.

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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