Gangli An

599 citations
24 papers · 490 indexed · h-index 12
Topics
CAR-T cell therapy research (13 papers)Immune Cell Function and Interaction (8 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchPolymer

In The Last Decade

Gangli An

23 papers receiving 485 citations

Peers

Gangli An
Comparison fields: 5 of 47
  • Oncology 340
  • Immunology 257
  • Molecular Biology 137
  • Radiology, Nuclear Medicine and Imaging 81
  • Hematology 78
Replace Tiffany A. Coupet with:
Tiffany A. Coupet United States
Dirk Hönemann Australia
Irene Michalk Germany
Kevin M. Friedman United States
Karen Dengel United States
James Dongjoo Ham United States
Andrea V. Lopez United States
Claudia C. Bippes Germany
Amy K. Erbe United States
Jennifer Ma United States
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Citations per field
00.5×1.5×1.9×
Tiffany A. Coupet · 1×
Citations per year

Countries citing papers authored by Gangli An

Since Specialization
Citations

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

Fields of papers citing papers by Gangli An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangli An

This figure shows the co-authorship network connecting the top 25 collaborators of Gangli An. A scholar is included among the top collaborators of Gangli An 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 Gangli An. Gangli An 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 7
2 8
3 6
4 3
5 14
6 13
7 7
8 3
9
Chimeric antigen receptor T cells derived from CD7 nanobody exhibit robust antitumor potential against CD7-positive malignancies.
10
10 2
11 0
12
A novel CD7 chimeric antigen receptor-modified NK-92MI cell line targeting T-cell acute lymphoblastic leukemia.
116
13 2
14 32
15 38
16 37
17 25
18 36
19 1
20 36

About Gangli An

Gangli An is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 490 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immune Cell Function and Interaction (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Oncology (340 citations), Immunology (257 citations) and Hematology (78 citations). Gangli An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lin Yang, Huimin Meng, Fengtao You, Licui Jiang, Xuejun Zhu, Dan Chen, Xing‐Ding Zhang, Yinyan Wang, Lei Yuan and Jialu Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Polymer.

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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