Fangda Li

865 citations
20 papers · 566 indexed · 4 hit papers · h-index 10
Topics
Cancer Research and Treatments (5 papers)Aortic aneurysm repair treatments (4 papers)CAR-T cell therapy research (3 papers)

In The Last Decade

Fangda Li

17 papers receiving 559 citations

Hit Papers

A programmable encapsulation system improves delivery of ...2022202620232024202220232023202450100150

Peers

Fangda Li
Comparison fields: 5 of 72
  • Biotechnology 291
  • Biomedical Engineering 267
  • Molecular Biology 162
  • Oncology 119
  • Immunology 103
Replace Jongwon Im with:
Jongwon Im United States
Christopher Plescia United States
Starsha Kolodziej United States
Rosa L. Vincent United States
Kelly Pu United States
Candice R. Gurbatri United States
Kenia de los Santos-Alexis United States
Mai T. Duong South Korea
Kaitlyn D. LaCourse United States
Panos Lehouritis Ireland
Fangda Li relative to Jongwon Im United States Jongwon Im's profile →
Citations per field
00.5×
Jongwon Im · 1×
Citations per year

Countries citing papers authored by Fangda Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fangda Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fangda Li. A scholar is included among the top collaborators of Fangda Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangda Li. Fangda Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 13
4
Probiotic neoantigen delivery vectors for precision cancer immunotherapybreakdown →
70
5 0
6 0
7 2
8 11
9
Chemokines expressed by engineered bacteria recruit and orchestrate antitumor immunitybreakdown →
96
10
Probiotic-guided CAR-T cells for solid tumor targetingbreakdown →
146
11
A programmable encapsulation system improves delivery of therapeutic bacteria in micebreakdown →
171
12 11
13 2
14 5
15 9
16 15
17 2
18 9
19 1
20 2

About Fangda Li

Fangda Li is a scholar working on Biotechnology, Immunology and Pulmonary and Respiratory Medicine, 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) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Biotechnology (291 citations), Biomedical Engineering (267 citations) and Drug Discovery (1 citation). Fangda Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nicholas Arpaia, Tal Danino, Courtney Coker, Jongwon Im, Rosa L. Vincent, Thomas Savage, Kenia de los Santos-Alexis, Kelly Pu, Jaeseung Hahn and Mathieu Rouanne. Their work appears in journals such as Nature, Science and Nature Biotechnology.

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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