Xiaojun Man

440 citations
22 papers · 244 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 6
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 3

Xiaojun Man

18 papers receiving 243 citations

Peers

Xiaojun Man
Comparison fields: 5 of 52
  • Cancer Research 115
  • Molecular Biology 185
  • Oncology 41
  • Pulmonary and Respiratory Medicine 44
  • Immunology and Allergy 5
Replace Hong Ren with:
Hong Ren China
Wei‐Jia Mo China
Guanhua Wu China
Melinda Garcia United States
Silvia Cruz-Gil Spain
Zhixing Lu China
Xiaojun Man relative to Hong Ren China Hong Ren's profile →
Citations per field
00.5×
Hong Ren · 1×
Citations per year

Countries citing papers authored by Xiaojun Man

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201935
3 201628
4 201414
5 201914
6 202212
7 202112
8 202410
9 20199
10 20238
11 20237
12 20197
13 20227
14 20253
15 20242
16 20252
17 20251
18 20251
19 20220
20 20250

About Xiaojun Man

Xiaojun Man is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 22 papers that have together received 244 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (5 papers), Renal cell carcinoma treatment (4 papers), MicroRNA in disease regulation (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Urinary and Genital Oncology Studies (3 papers), Circular RNAs in diseases (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (185 citations), Oncology (41 citations), Pulmonary and Respiratory Medicine (44 citations) and Immunology and Allergy (5 citations). Xiaojun Man has collaborated with scholars based in China and Japan. Frequent co-authors include Chuize Kong, Yuanjun Jiang, Xiaolu Cui, Xuyong Lin, Chiyuan Piao, Zhe Zhang, Yuyan Zhu, Zhenhua Li, Zhipeng Gao and Zeliang Li. Their work appears in journals such as Oncology Reports, Journal of Experimental & Clinical Cancer Research, Journal of Cellular and Molecular Medicine, BMC Cancer and Bioorganic Chemistry.

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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