Daisy Dandan Wang

646 citations
17 papers · 515 indexed · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

Daisy Dandan Wang

16 papers receiving 511 citations

Peers

Daisy Dandan Wang
Comparison fields: 5 of 41
  • Cancer Research 298
  • Oncology 407
  • Hepatology 30
  • Pulmonary and Respiratory Medicine 111
  • Biotechnology 25
Replace J Schulz with:
J Schulz United Kingdom
Hiroki Tamagawa Japan
Yuji Shimoda Japan
Anne Renolen Norway
Chuanhua Zhao China
Mai‐Britt W. Ørntoft Denmark
Joana Vidal Spain
Linda Mahjoubi France
Sonia Candamio Spain
Kazuaki Yokomizo Japan
Daisy Dandan Wang relative to J Schulz United Kingdom J Schulz's profile →
Citations per field
00.5×10×14×
J Schulz · 1×
Citations per year

Countries citing papers authored by Daisy Dandan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Dandan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy Dandan Wang. 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 Daisy Dandan Wang. The network helps show where Daisy Dandan Wang may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 20240
2 20226
3 202212
4 20221
5 202121
6 202111
7 202124
8 202110
9 201958
10 201846
11 201779
12 201762
13 20171
14 201624
15 201534
16 201554
17 201472

About Daisy Dandan Wang

Daisy Dandan Wang is a scholar working on Cancer Research, Structural Biology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 515 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Cancer Genomics and Diagnostics (13 papers), Lung Cancer Research Studies (3 papers), Glioma Diagnosis and Treatment (2 papers), Metastasis and carcinoma case studies (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (298 citations), Oncology (407 citations), Hepatology (30 citations), Pulmonary and Respiratory Medicine (111 citations) and Biotechnology (25 citations). Daisy Dandan Wang has collaborated with scholars based in United States, China and Ethiopia. Frequent co-authors include Peter Ping Lin, Yilin Li, Lin Shen, Olivier Gires, Xiaotian Zhang, Linda Li, Jifang Gong, Hongxia Wang, Linda Li and Feng Ge. Their work appears in journals such as Cancer Letters, Oncotarget, Cancers, Clinical Cancer Research and Frontiers in Oncology.

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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