David Yang

2.1k citations
10 papers · 1.6k · h-index 9

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Immunology top 5%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • Immune cells in cancer 2
    • Ocular Diseases and Behçet’s Syndrome 3

David Yang

10 papers receiving 1.6k citations

Peers

David Yang
Comparison fields: 5 of 68
  • Genetics 720
  • Immunology 797
  • Neurology 258
  • Oncology 692
  • Cancer Research 285
Replace Serena Pellegatta with:
Serena Pellegatta Italy
Yvonne Kienast Germany
Verlene Henry United States
Sam Haidar United States
Márcia Regina Machein Germany
Garima Yagnik United States
Guanzhang Li China
Matthew Schniederjan United States
Kelly Burrell Canada
Rikke Rasmussen Denmark
David Yang relative to Serena Pellegatta Italy Serena Pellegatta's profile →
Citations per field
00.5×2.7×
Serena Pellegatta · 1×
Citations per year

Countries citing papers authored by David Yang

Since Specialization
Citations

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

Fields of papers citing papers by David Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2006475
2 2005415
3 2008255
4 2005180
5 2008155
6 200683
7 201446
8 200817
9 201210
10
Upregulation of Foxp3 Expression by Recombinant Interferon-alpha Therapy in Behcet’s Disease
20095

About David Yang

David Yang is a scholar working on Immunology, Ophthalmology, Oncology, Genetics and Rheumatology, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ocular Diseases and Behçet’s Syndrome (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), T-cell and B-cell Immunology (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Genetics (720 citations), Immunology (797 citations), Neurology (258 citations), Oncology (692 citations) and Cancer Research (285 citations). David Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Amy B. Heimberger, Dima Suki, Kenneth Aldape, S. Farzana Hussain, Elizabeth A. Grimm, Raymond Sawaya, Roman Hlatky, Mark R. Gilbert, Chantal Reina-Ortiz and Mohamed Abou-Ghazal. Their work appears in journals such as Clinical Cancer Research, Journal of Translational Medicine, Investigative Ophthalmology & Visual Science, Neuro-Oncology and Annals of the Rheumatic Diseases.

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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