Pingna Deng

3.0k citations
5 papers · 549 · 1 hit paper · h-index 5

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

Pingna Deng

5 papers receiving 544 citations

Pingna Deng's Hit Papers

Effective combinatorial immunotherapy for castration-resistant prostate cancer 2017 · 408 citations
4080+3+6Years since publication100200300400

Peers

Pingna Deng
Comparison fields: 5 of 60
  • Immunology 240
  • Oncology 254
  • Aging 15
  • Pulmonary and Respiratory Medicine 117
  • Cancer Research 47
Replace Ilsa Coleman with:
Ilsa Coleman United States
Paola Ortíz-Montero Colombia
Sabrina Klotz Germany
Marta Kovatcheva Spain
Emily Vucic United States
Maarit Ahtiainen Finland
Eileen S. Carpenter United States
Rania H. Younis United States
Lauren Véronèse France
Eleanor Hilliard United States
Pingna Deng relative to Ilsa Coleman United States Ilsa Coleman's profile →
Citations per field
00.5×4.0×
Ilsa Coleman · 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

5 of 5 papers shown
#Work
1
Effective combinatorial immunotherapy for castration-resistant prostate cancer
Hit paper breakdown →
2017408
2 202054
3 202144
4 201730
5 202413

About Pingna Deng

Pingna Deng is a scholar working on Oncology, Immunology, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 5 papers that have together received 549 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), Alzheimer's disease research and treatments (1 paper), Prostate Cancer Treatment and Research (1 paper), Genital Health and Disease (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Urologic and reproductive health conditions (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (240 citations), Oncology (254 citations), Aging (15 citations), Pulmonary and Respiratory Medicine (117 citations) and Cancer Research (47 citations). Pingna Deng has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ronald A. DePinho, Yanru Wang, Xiaoying Shang, Xin Lü, James W. Horner, Qing Chang, Denise J. Spring, Shan Jiang, Dean Y. Maeda and Patricia Troncoso. Their work appears in journals such as Nature Communications, Nature Aging, Cancer Discovery, Genes & Development and Nature.

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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