Erting Tang

446 citations
4 papers · 155 · 1 hit paper · h-index 3

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Single-cell and spatial transcriptomics 1
    • CRISPR and Genetic Engineering 1
    • ATP Synthase and ATPases Research 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Immune Cell Function and Interaction 2

Erting Tang

4 papers receiving 152 citations

Erting Tang's Hit Papers

A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy 2022 · 143 citations
1430+1+2Years since publication4080120

Peers

Erting Tang
Comparison fields: 5 of 29
  • Oncology 108
  • Immunology 61
  • Business and International Management 3
  • Molecular Biology 83
  • Cancer Research 14
Replace Olivia Sirpilla with:
Olivia Sirpilla United States
Erica R. Vander Mause United States
Gijs J. F. van Son Netherlands
Alexis Cuffel France
Nikolaos Gkitsas United States
Austin K. Rennels United States
Dristhi Ragoonanan United States
Xinyi Teng China
Alexandra Danyi Netherlands
Jack Barton United Kingdom
Erting Tang relative to Olivia Sirpilla United States Olivia Sirpilla's profile →
Citations per field
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Olivia Sirpilla · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Erting Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erting Tang Line = papers co-authored together Erting Tang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Erting Tang

Erting Tang is a scholar working on Molecular Biology, Immunology, Oncology, Biomaterials and Biomedical Engineering, having authored 4 papers that have together received 155 indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (1 paper), Nanoplatforms for cancer theranostics (1 paper), Nanoparticle-Based Drug Delivery (1 paper), CRISPR and Genetic Engineering (1 paper), ATP Synthase and ATPases Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Oncology (108 citations), Immunology (61 citations), Business and International Management (3 citations), Molecular Biology (83 citations) and Cancer Research (14 citations). Erting Tang has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Ryan D. Chow, Alexey Bersenev, Lei Peng, Quanjun Yang, Youssef Errami, Matthew B. Dong, Guangchuan Wang, Sidi Chen, Lupeng Ye and Paul Clark. Their work appears in journals such as Cell Metabolism, Nature Communications, Frontiers in Genetics and Cell Reports Medicine.

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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