Dalu Yang

891 citations
5 papers · 653 · 1 hit paper · h-index 5

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Dalu Yang

5 papers receiving 645 citations

Dalu Yang's Hit Papers

Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer 2017 · 450 citations
4500+3+6Years since publication100200300400

Peers

Dalu Yang
Comparison fields: 5 of 58
  • Oncology 313
  • Genetics 92
  • Immunology 186
  • Cancer Research 92
  • Radiology, Nuclear Medicine and Imaging 131
Replace Robyn D. Gartrell with:
Robyn D. Gartrell United States
Rada Amin United States
Felix Frenkel United States
Giuseppe Nicolò Fanelli Italy
Sabrina A. Hogan Switzerland
Roeland Verhaak United States
Joaquín Jaén Spain
Sandeep Namburi United States
Liangdong Sun China
Claudia Capdevila United States
Dalu Yang relative to Robyn D. Gartrell United States Robyn D. Gartrell's profile →
Citations per field
00.5×3.3×
Robyn D. Gartrell · 1×
Citations per year

Countries citing papers authored by Dalu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dalu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Dalu 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 Dalu Yang Line = papers co-authored together Dalu Yang links everyone, so they are left out of the graph.

All Works

About Dalu Yang

Dalu Yang is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 653 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Ferroptosis and cancer prognosis (1 paper), MicroRNA in disease regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Autophagy in Disease and Therapy (1 paper), Immunotherapy and Immune Responses (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Oncology (313 citations), Genetics (92 citations), Immunology (186 citations), Cancer Research (92 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Dalu Yang has collaborated with scholars based in United States and China. Frequent co-authors include Arvind Rao, Huamin Wang, Valerie S. LeBleu, Raghu Kalluri, Souptik Barua, Julienne L. Carstens, Pedro Corrêa de Sampaio, James P. Allison, Ganesh Rao and Ashok Veeraraghavan. Their work appears in journals such as Frontiers in Genetics, Brain and Behavior, Medical Physics, Nature Communications and Translational Cancer Research.

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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