Xiaocong Pang

1.3k citations
45 papers · 873 · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Sphingolipid Metabolism and Signaling
    • Circular RNAs in diseases
    • FOXO transcription factor regulation

Papers in

Xiaocong Pang

39 papers receiving 861 citations

Peers

Xiaocong Pang
Comparison fields: 5 of 100
  • Cancer Research 230
  • Molecular Biology 506
  • Oncology 168
  • Immunology 116
  • Pulmonary and Respiratory Medicine 153
Replace Ying‐Yu Ma with:
Ying‐Yu Ma China
Xinzheng Dai China
Pingsheng Chen China
Yuting Chen China
Ľ Danihel Slovakia
Weihua Ren China
Krzysztof Goryca Poland
Hai Li China
Kumaravelu Jagavelu India
Xiaocong Pang relative to Ying‐Yu Ma China Ying‐Yu Ma's profile →
Citations per field
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Ying‐Yu Ma · 1×
Citations per year

Countries citing papers authored by Xiaocong Pang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocong Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019145
2 201897
3 202153
4 201750
5 202046
6 201539
7 202138
8 201638
9 201837
10 201937
11 202336
12 201929
13 201726
14 202320
15 202118
16 202416
17 202414
18 201714
19
Expression of the MAGE-1 gene in human hepatocellular carcinomas.
200014
20 202213

About Xiaocong Pang

Xiaocong Pang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 45 papers that have together received 873 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Ferroptosis and cancer prognosis (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Prostate Cancer Treatment and Research (4 papers), Alzheimer's disease research and treatments (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (230 citations), Molecular Biology (506 citations), Oncology (168 citations), Immunology (116 citations) and Pulmonary and Respiratory Medicine (153 citations). Xiaocong Pang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yimin Cui, Guanhua Du, Shiliang Wu, Jinhua Wang, Xiaodan Zhang, Bin‐Zhi Qian, Xiangjin Zheng, Kan Gong, Yi Zhun Zhu and Jinyi Liu. Their work appears in journals such as Frontiers in Immunology, Pharmacological Research, Advanced Healthcare Materials, Oxidative Medicine and Cellular Longevity and Pharmacology & Therapeutics.

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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