Dan Liu

7.0k citations
253 papers · 4.4k indexed · h-index 36

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 27
    • Lung Cancer Diagnosis and Treatment 21
    • Lung Cancer Research Studies 12
    • Inflammatory Biomarkers in Disease Prognosis 12
    • Cancer Immunotherapy and Biomarkers 9

Dan Liu

232 papers receiving 4.3k citations

Peers

Dan Liu
Comparison fields: 5 of 155
  • Pulmonary and Respiratory Medicine 1.1k
  • Cancer Research 475
  • Oncology 845
  • Critical Care and Intensive Care Medicine 153
  • Infectious Diseases 467
Replace Yu He with:
Yu He China
Steven W.M. Olde Damink Netherlands
Hidekazu Suzuki Japan
Cheng‐Ta Yang Taiwan
Jaime Bosch Spain
Peter Schemmer Germany
Lei Liu China
Patrizia Moser Austria
Robert C. McIntyre United States
Jie Yang China
Dan Liu relative to Yu He China Yu He's profile →
Citations per field
00.5×2.7×
Yu He · 1×
Citations per year

Countries citing papers authored by Dan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
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7 20247
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9 202322
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11 20233
12 20231
13 202311
14 202122
15 201910
16 20181
17 201844
18 201879
19 20154
20 20131

About Dan Liu

Dan Liu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Nephrology and Critical Care and Intensive Care Medicine, having authored 253 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (27 papers), Lung Cancer Diagnosis and Treatment (21 papers), Lung Cancer Research Studies (12 papers), Inflammatory Biomarkers in Disease Prognosis (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 Clinical Research Studies (10 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cancer Research (475 citations), Oncology (845 citations), Critical Care and Intensive Care Medicine (153 citations) and Infectious Diseases (467 citations). Dan Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weimin Li, Frank Weidemann, Georg Ertl, Binmiao Liang, Jian Luo, Kai Hu, Yu He, Jing Jin, Zongan Liang and Chengdi Wang. Their work appears in journals such as PLoS ONE, BMC Cancer, Medicine, Frontiers in Oncology and Scientific Reports.

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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