Xiaojuan Pan

821 citations
24 papers · 502 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 5
    • Epigenetics and DNA Methylation 4
    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Muscle Physiology and Disorders 2
    • Cancer-related molecular mechanisms research 3

Xiaojuan Pan

24 papers receiving 493 citations

Peers

Xiaojuan Pan
Comparison fields: 5 of 77
  • Cancer Research 153
  • Molecular Biology 279
  • Management, Monitoring, Policy and Law 34
  • Geology 14
  • Oncology 46
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Citations per field
00.5×10×14×
Yufang Tan · 1×
Citations per year

Countries citing papers authored by Xiaojuan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2
The prognostic role of p53, metallothionein, P-glycoprotein, and MIB-1 in muscle-invasive urothelial transitional cell carcinoma.
199855
3 202254
4 202253
5 202243
6 201435
7 202331
8 201024
9 201024
10 199423
11 201022
12 201319
13 202411
14 201710
15 20247
16 20246
17 20245
18 20234
19 20223
20 20252

About Xiaojuan Pan

Xiaojuan Pan is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 502 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), BRCA gene mutations in cancer (2 papers), Medical Imaging Techniques and Applications (2 papers), RNA Research and Splicing (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (279 citations), Management, Monitoring, Policy and Law (34 citations), Geology (14 citations) and Oncology (46 citations). Xiaojuan Pan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Elsken van der Wall, P. J. van Diest, Karijn P.M. Suijkerbuijk, Bin Xiao, Qiang Ma, Xiaolin Wang, Ting Yu, Lingyu Ran, Cathy B. Moelans and Bo Huang. Their work appears in journals such as Journal of Translational Medicine, Medical Physics, Medicine, Cellular & Molecular Biology Letters and Translational 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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