Xiaojuan Pan

808 citations
28 papers · 487 · 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

    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 5
    • Circular RNAs in diseases 5
    • RNA Research and Splicing 3
    • Cancer-related gene regulation 3
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 3

Xiaojuan Pan

26 papers receiving 477 citations

Peers

Xiaojuan Pan
Comparison fields: 5 of 79
  • Cancer Research 203
  • Molecular Biology 315
  • Management, Monitoring, Policy and Law 33
  • Geology 14
  • Oncology 69
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Citations per field
00.5×3.5×
Yan Cheng · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 202255
3
The prognostic role of p53, metallothionein, P-glycoprotein, and MIB-1 in muscle-invasive urothelial transitional cell carcinoma.
199855
4 202248
5 202240
6 201434
7 202329
8 201024
9 199423
10 201022
11 201022
12 201319
13 201710
14 20249
15 20245
16 20245
17 20204
18 20233
19 20243
20 20253

About Xiaojuan Pan

Xiaojuan Pan is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 28 papers that have together received 487 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), Cancer-related gene regulation (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (203 citations), Molecular Biology (315 citations), Management, Monitoring, Policy and Law (33 citations), Geology (14 citations) and Oncology (69 citations). Xiaojuan Pan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include P. J. van Diest, Elsken van der Wall, Karijn P.M. Suijkerbuijk, Xiaolin Wang, Bin Xiao, Qiang Ma, Lingyu Ran, Ting Yu, Yuying Liu and Cathy B. Moelans. Their work appears in journals such as Journal of Translational Medicine, Journal of Pharmacy and Pharmacology, Medical Physics, Medicine and Familial Cancer.

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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