Pingna Deng

2.9k citations
4 papers · 476 · 1 hit paper · h-index 4

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Immune cells in cancer 2
    • Immune Cell Function and Interaction 1

Pingna Deng

4 papers receiving 471 citations

Hit Papers

Effective combinatorial immunotherapy for castration-resistant prostate cancer 2017 · 396 citations
3960+3+6Years since publication100200300

Peers

Pingna Deng
Comparison fields: 5 of 61
  • Immunology 244
  • Oncology 280
  • Aging 15
  • Pulmonary and Respiratory Medicine 134
  • Cancer Research 50
Replace Rocío Vicario with:
Rocío Vicario United States
Handan Xiang United States
Eileen S. Carpenter United States
Yael Morgenstern Israel
Kyle M. LaPak United States
Min Peng China
Seo‐Hyun Choi South Korea
Natalie L. Lister Australia
Alexander Hamm Germany
Vera Petrova Germany
Pingna Deng relative to Rocío Vicario United States Rocío Vicario's profile →
Citations per field
00.5×3.7×
Rocío Vicario · 1×
Citations per year

Countries citing papers authored by Pingna Deng

Since Specialization
Citations

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

Fields of papers citing papers by Pingna Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pingna Deng, 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 Pingna Deng Line = papers co-authored together Pingna Deng links everyone, so they are left out of the graph.

All Works

About Pingna Deng

Pingna Deng is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 4 papers that have together received 476 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Telomeres, Telomerase, and Senescence (1 paper), TGF-β signaling in diseases (1 paper), Alzheimer's disease research and treatments (1 paper), Prostate Cancer Treatment and Research (1 paper), Genetic factors in colorectal cancer (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (244 citations), Oncology (280 citations), Aging (15 citations), Pulmonary and Respiratory Medicine (134 citations) and Cancer Research (50 citations). Pingna Deng has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Ronald A. DePinho, Yanru Wang, Xiaoying Shang, James W. Horner, Qing Chang, Xin Lü, Patricia Troncoso, Denise J. Spring, Shan Jiang and Padmanee Sharma. Their work appears in journals such as Genes & Development, Nature, Nature Aging and Cancer Discovery.

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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