Fangda Li
Impact in
- Biotechnology top 2%
- Cancer Research and Treatments
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- 3D Printing in Biomedical Research
Papers in
-
- Aortic aneurysm repair treatments 4
-
- Cancer Research and Treatments 5
- Co-authors
- Tal Danino (6 shared papers)Nicholas Arpaia (6 shared papers)Courtney Coker (3 shared papers)Jongwon Im (3 shared papers)Rosa L. Vincent (5 shared papers)Thomas Savage (3 shared papers)Kenia de los Santos-Alexis (3 shared papers)Kelly Pu (2 shared papers)
- Journals
- Cancer Discovery (1 paper)Cancer Research (1 paper)Interactive Cardiovascular and Thoracic Surgery (1 paper)Science Advances (1 paper)Nature (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Fangda Li
17 papers receiving 559 citations
Fangda Li's Hit Papers
Peers
Comparison fields: 5 of 72
- Biotechnology 291
- Biomedical Engineering 267
- Drug Discovery 1
- Immunology 103
- Oncology 119
Countries citing papers authored by Fangda Li
This map shows the geographic impact of Fangda Li'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 Fangda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangda Li more than expected).
Fields of papers citing papers by Fangda Li
This network shows the impact of papers produced by Fangda Li. 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 Fangda Li. The network helps show where Fangda Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangda Li, 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 | A programmable encapsulation system improves delivery of therapeutic bacteria in mice Hit paper breakdown → | 2022 | 171 |
| 2 | Probiotic-guided CAR-T cells for solid tumor targeting Hit paper breakdown → | 2023 | 146 |
| 3 | Chemokines expressed by engineered bacteria recruit and orchestrate antitumor immunity Hit paper breakdown → | 2023 | 96 |
| 4 | Probiotic neoantigen delivery vectors for precision cancer immunotherapy Hit paper breakdown → | 2024 | 70 |
| 5 | 2020 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 5 | |
| 12 | 2018 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Fangda Li
Fangda Li is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology, Immunology, Oncology and Surgery, having authored 20 papers that have together received 566 indexed citations. Recurring topics across this work include Cancer Research and Treatments (5 papers), Aortic aneurysm repair treatments (4 papers), CAR-T cell therapy research (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Medical Imaging Techniques and Applications (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Biotechnology (291 citations), Biomedical Engineering (267 citations), Drug Discovery (1 citation), Immunology (103 citations) and Oncology (119 citations). Fangda Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tal Danino, Nicholas Arpaia, Courtney Coker, Jongwon Im, Rosa L. Vincent, Thomas Savage, Kenia de los Santos-Alexis, Kelly Pu, Mathieu Rouanne and Jaeseung Hahn. Their work appears in journals such as Cancer Discovery, Cancer Research, Interactive Cardiovascular and Thoracic Surgery, Science Advances and Nature.
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.