Da Pan

539 citations
6 papers · 434 · h-index 5

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Lymphatic System and Diseases
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

    • Lymphatic System and Diseases 2
    • Cancer Immunotherapy and Biomarkers 1
    • Cancer Cells and Metastasis 1
    • Phagocytosis and Immune Regulation 1
    • Immune cells in cancer 1

Da Pan

5 papers receiving 419 citations

Peers

Da Pan
Comparison fields: 5 of 53
  • Oncology 276
  • Cancer Research 148
  • Molecular Biology 189
  • Genetics 24
  • Biotechnology 21
Replace Rakhna Araslanova with:
Rakhna Araslanova Canada
Mauricio Rodriguez-Torres Canada
Jiang‐Jie Duan China
Avital Lev United States
Jenny M. Lippitt United Kingdom
Ilenia Segatto Italy
Ahmed A. Quraishi United States
Valery Adorno-Cruz United States
Arianna Giacobbe Italy
Petra Jagušt Spain
Da Pan relative to Rakhna Araslanova Canada Rakhna Araslanova's profile →
Citations per field
00.5×1.5×
Rakhna Araslanova · 1×
Citations per year

Countries citing papers authored by Da Pan

Since Specialization
Citations

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

Fields of papers citing papers by Da Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Da Pan, 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 Da Pan Line = papers co-authored together Da Pan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010387
2 200617
3 200615
4 20258
5 20247
6 20260

About Da Pan

Da Pan is a scholar working on Oncology, Immunology, Psychiatry and Mental health, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 434 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (2 papers), Phagocytosis and Immune Regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immune cells in cancer (1 paper), Cancer Cells and Metastasis (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Oncology (276 citations), Cancer Research (148 citations), Molecular Biology (189 citations), Genetics (24 citations) and Biotechnology (21 citations). Da Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rakhna Araslanova, Paola Marcato, Cheryl A. Dean, Lucy Helyer, Lu-Zhe Pan, Andrew M. Leidal, Carman A. Giacomantonio, Patrick W.K. Lee, Shashi Gujar and Stanley G. Rockson. Their work appears in journals such as Lymphatic Research and Biology, Journal of Translational Medicine, Stem Cells, Laser & Photonics Review and Frontiers in Immunology.

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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