Da Pang

7.8k citations
160 papers · 4.9k · h-index 41

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA modifications and cancer 21
    • Epigenetics and DNA Methylation 16
    • Cancer-related gene regulation 11
    • Cancer-related molecular mechanisms research 25
    • Cancer Genomics and Diagnostics 10
    • Breast Cancer Treatment Studies 7

Da Pang

156 papers receiving 4.9k citations

Peers

Da Pang
Comparison fields: 5 of 137
  • Cancer Research 1.8k
  • Oncology 957
  • Molecular Biology 2.6k
  • Immunology 577
  • Pathology and Forensic Medicine 295
Replace Upender Manne with:
Upender Manne United States
Zhi‐Ming Shao China
Igor Vivanco United States
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Tuan Zea Tan Singapore
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Ralf Buettner United States
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Ming‐Rong Wang China
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Citations per field
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Upender Manne · 1×
Citations per year

Countries citing papers authored by Da Pang

Since Specialization
Citations

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

Fields of papers citing papers by Da Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019189
2 2017175
3 2021169
4 2019128
5
Downregulation of long noncoding RNA MALAT1 induces epithelial-to-mesenchymal transition via the PI3K-AKT pathway in breast cancer.
2015127
6 2013113
7 2017112
8 2013109
9 201998
10 201195
11 202195
12 201795
13 201794
14 201793
15 201292
16 201291
17 201681
18 201577
19 201170
20 202169

About Da Pang

Da Pang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 160 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (21 papers), Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (11 papers), Cancer Cells and Metastasis (10 papers), Cancer Genomics and Diagnostics (10 papers), HER2/EGFR in Cancer Research (9 papers) and Breast Cancer Treatment Studies (7 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (957 citations), Molecular Biology (2.6k citations), Immunology (577 citations) and Pathology and Forensic Medicine (295 citations). Da Pang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouping Xu, Shiyao Sui, Xianyu Zhang, Youxue Zhang, Peiyuan Wang, Shanshan Sun, Guoqiang Zhang, Zilong You, Yongdong Jiang and Yashuang Zhao. Their work appears in journals such as PLoS ONE, Breast Cancer Research and Treatment, Oncotarget, Tumor Biology 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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