Min Xia

1.1k citations
34 papers · 869 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Inflammatory mediators and NSAID effects

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 3
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 2
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 4
    • Cancer, Hypoxia, and Metabolism 3

Min Xia

33 papers receiving 863 citations

Peers

Min Xia
Comparison fields: 5 of 90
  • Cancer Research 195
  • Pharmacology 153
  • Biochemistry 60
  • Molecular Biology 480
  • Animal Science and Zoology 52
Replace Makoto Nishizuka with:
Makoto Nishizuka Japan
Yao Dong China
Yoko Nemoto‐Sasaki Japan
Jiangang Wang China
Robert A. Lepley United States
Roberto Amendola Italy
Sang Dai Park South Korea
Min Xia relative to Makoto Nishizuka Japan Makoto Nishizuka's profile →
Citations per field
00.5×7.3×
Makoto Nishizuka · 1×
Citations per year

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993133
2 202187
3 199466
4 202064
5 199452
6 201250
7 202244
8 202238
9 202132
10 202132
11 201731
12 202326
13 202023
14 202122
15 202021
16 201821
17 201216
18 201714
19 201714
20 201613

About Min Xia

Min Xia is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Animal Science and Zoology and Oncology, having authored 34 papers that have together received 869 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (195 citations), Pharmacology (153 citations), Biochemistry (60 citations), Molecular Biology (480 citations) and Animal Science and Zoology (52 citations). Min Xia has collaborated with scholars based in China, United States and Sierra Leone. Frequent co-authors include Edward J. Goetzl, Jing Zhong, Jianhua Yang, Zuyao Chen, Xiaolin Zhong, Jiaqi Xu, Huili Wang, Qiuhui Qian, Gebo Wen and Xuyu Zu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Letters, Animal Genetics, Life Sciences and Asian-Australasian Journal of Animal Sciences.

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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