Feifei Teng
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- CAR-T cell therapy research
- Inflammatory Biomarkers in Disease Prognosis
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 39
- Cancer Immunotherapy and Biomarkers 26
- Lung Cancer Research Studies 11
- Inflammatory Biomarkers in Disease Prognosis 6
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- Lung Cancer Treatments and Mutations 11
- Lung Cancer Diagnosis and Treatment 8
- Brain Metastases and Treatment 5
- Co-authors
- Li KongXiangjiao MengXin WangJinming YuLigang XingZhaoqin HuangLi Ren KongDianbin Mu
- Journals
- International Journal of Radiation Oncology*Biology*Physics (4 papers)OncoTargets and Therapy (3 papers)Cancer Letters (3 papers)Cancer Biology & Therapy (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Feifei Teng
48 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Oncology 1.6k
- Immunology 669
- Pulmonary and Respiratory Medicine 674
- Cancer Research 238
- Genetics 124
Countries citing papers authored by Feifei Teng
This map shows the geographic impact of Feifei Teng'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 Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Teng more than expected).
Fields of papers citing papers by Feifei Teng
This network shows the impact of papers produced by Feifei Teng. 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 Teng. The network helps show where Feifei Teng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feifei Teng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 38 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 20 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 11 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 105 | |
| 18 | 2015 | 85 | |
| 19 | 2013 | 36 | |
| 20 | 2013 | 1 |
About Feifei Teng
Feifei Teng is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (26 papers), Lung Cancer Treatments and Mutations (11 papers), Lung Cancer Research Studies (11 papers), Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Immunotherapy and Immune Responses (6 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Oncology (1.6k citations), Immunology (669 citations), Pulmonary and Respiratory Medicine (674 citations), Cancer Research (238 citations) and Genetics (124 citations). Feifei Teng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Li Kong, Xiangjiao Meng, Xin Wang, Jinming Yu, Jinming Yu, Jinming Yu, Ligang Xing, Zhaoqin Huang, Li Ren Kong and Dianbin Mu. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, OncoTargets and Therapy, Cancer Letters, Cancer Biology & Therapy and Oncotarget.
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.