Feifei Na

1.2k citations
34 papers · 651 · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Cancer Cells and Metastasis 3
    • Lung Cancer Research Studies 3
    • Protein Degradation and Inhibitors 2
    • Angiogenesis and VEGF in Cancer 2

Feifei Na

31 papers receiving 645 citations

Peers

Feifei Na
Comparison fields: 5 of 72
  • Cancer Research 98
  • Oncology 149
  • Pulmonary and Respiratory Medicine 171
  • Immunology 102
  • Hepatology 35
Replace Anisha Madhav with:
Anisha Madhav United States
Mitsunori Higuchi Japan
Moon Soo Lee South Korea
Florencia G. Jalikis United States
Kimihiro Ito Japan
Ernest Marshall United Kingdom
Anna Maria Granato Italy
Rongrui Liu China
Jane Ruppel United States
Feifei Na relative to Anisha Madhav United States Anisha Madhav's profile →
Citations per field
00.5×3.3×
Anisha Madhav · 1×
Citations per year

Countries citing papers authored by Feifei Na

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014125
2 201795
3 202077
4 202237
5 202032
6 201728
7 201326
8 201324
9 201522
10 202220
11 202317
12 202217
13 202315
14 202214
15 201813
16 202313
17 202311
18 201811
19 201410
20 20249

About Feifei Na

Feifei Na is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 34 papers that have together received 651 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (3 papers), Lung Cancer Research Studies (3 papers), Protein Degradation and Inhibitors (2 papers), Immune cells in cancer (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (98 citations), Oncology (149 citations), Pulmonary and Respiratory Medicine (171 citations), Immunology (102 citations) and Hepatology (35 citations). Feifei Na has collaborated with scholars based in China and United States. Frequent co-authors include Jianxin Xue, You Lü, Lei Deng, Cong Li, Jingwen Wang, Chong Chen, Jingyao Chen, Jie Lan, Wei Wang and Fei Mo. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Clinical Oncology, Frontiers in Oncology, Radiotherapy and Oncology and Cancer Letters.

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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