Erting Tang

446 total citations · 1 hit paper
4 papers, 155 citations indexed

About

Erting Tang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Erting Tang has authored 4 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Erting Tang's work include CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers) and Nanoparticle-Based Drug Delivery (1 paper). Erting Tang is often cited by papers focused on CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers) and Nanoparticle-Based Drug Delivery (1 paper). Erting Tang collaborates with scholars based in United States, Israel and China. Erting Tang's co-authors include Yaying Du, Alexey Bersenev, Stanley Z. Lam, Lupeng Ye, Jonathan J. Park, Lei Peng, Matthew B. Dong, Xiaoyun Dai, Yueqi Zhang and Guangchuan Wang and has published in prestigious journals such as Nature Communications, Cell Metabolism and Frontiers in Genetics.

In The Last Decade

Erting Tang

4 papers receiving 152 citations

Hit Papers

A genome-scale gain-of-function CRISPR screen in CD8 T ce... 2022 2026 2023 2024 2022 40 80 120

Peers

Erting Tang
Nikolaos Gkitsas United States
Andrew W. Daman United States
Alexandra Cabanov United States
Peixin Amy Chen United States
Nikolaos Gkitsas United States
Erting Tang
Citations per year, relative to Erting Tang Erting Tang (= 1×) peers Nikolaos Gkitsas

Countries citing papers authored by Erting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Erting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erting Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Erting Tang. A scholar is included among the top collaborators of Erting Tang 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 Erting Tang. Erting Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Cao, Guoshuai, Erting Tang, Jun Wan, et al.. (2025). Two-stage CD8+ CAR T-cell differentiation in patients with large B-cell lymphoma. Nature Communications. 16(1). 4205–4205. 2 indexed citations
2.
Zhang, Jian, Tony Pan, Jimmy Lee, et al.. (2025). Enabling tumor-specific drug delivery by targeting the Warburg effect of cancer. Cell Reports Medicine. 6(1). 101920–101920. 8 indexed citations
3.
Pan, Tony, Guoshuai Cao, Erting Tang, et al.. (2023). A single-cell atlas reveals shared and distinct immune responses and metabolic profiles in SARS-CoV-2 and HIV-1 infections. Frontiers in Genetics. 14. 1105673–1105673. 2 indexed citations
4.
Ye, Lupeng, Jonathan J. Park, Lei Peng, et al.. (2022). A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy. Cell Metabolism. 34(4). 595–614.e14. 143 indexed citations breakdown →

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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